Business Intelligence & Dashboards
Geckoboard
UK / wider Europe Report an error0–5 in half steps. 5 means the rubric's top anchor is met on the evidence.
by Datachoice Solutions Ltd · www.geckoboard.com
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Geckoboard at a glance
- Vendor
- Datachoice Solutions Ltd
- Headquarters
- Not stated on the vendor’s pages as of 1 Nov 2026
- Data hosting
- Not stated on the vendor’s pages as of 1 Nov 2026
- Free plan
- Not stated on the vendor’s pages as of 1 Nov 2026
- Panel verdict
- The AI panel rates Geckoboard 2.5/5, the mean of 6 judges. Geckoboard, from Datachoice Solutions Ltd of London, is a KPI dashboard tool: 90+ published connectors including six SQL databases, seven widget types, TV display, share links and scheduled snapshots. how scores are made
- As of
- Vendor pages captured 1 Nov 2026; evaluated by the panel 1 Nov 2026. all sources
Read this page as one judge. Each weighs the same scores by what they care about.
The panel's verdict
Geckoboard, from Datachoice Solutions Ltd of London, is a KPI dashboard tool: 90+ published connectors including six SQL databases, seven widget types, TV display, share links and scheduled snapshots. The bench scored it strongest on pricing transparency, with two publicly priced tiers; weakest on self-service and modelling; dashboards and visualization, governance and portability and sovereignty sit at 4. The judges genuinely split on data connectivity, lower scores weighing unsupported SSH tunnelling, a publicly reachable database host and single-dataset visualizations. Self-service ranged 3–4 because a visualization cannot combine two datasets and we found no public information on calculated fields or a shared metric definition. Sharing and embedding and pricing transparency each spread by a point, over embedding options with no published price and the unpriced Enterprise tier that single sign-on requires. No criterion split wider. The sovereignty picture is transparent but US-anchored: client data is processed in the EEA and the US, every subprocessor on the published list is US-based, and we found no public information on confining processing to the EEA.
Speaks for it
- A published list of 90+ connectors covering six named SQL databases — MySQL, MariaDB, PostgreSQL, Amazon Redshift, Snowflake, Microsoft SQL Server — plus a per-source refresh table running down to 30 seconds for Zendesk Talk.
- View-only share links need no login, can be IP-restricted, revoked by regenerating or deleting, and are blocked from search engines.
- Scheduled snapshots go out over email, Slack or Microsoft Teams, threshold alerts fire to Slack and Teams, and dashboards embed by iframe into Notion, Teams, Miro or Zendesk.
- Two tiers are publicly priced — Essentials "From $79 /month (billed annually)" and Performance "From $319 /month (billed annually)" — with add-ons at $24 per extra dashboard, $20 per extra editor and $20 per extra screen, unlimited viewers on every plan, VAT not included, and a 14-day free trial with no credit card required.
- Transparency on the legal chain: a published 2025 data processing agreement, an EU Data Act addendum, an EEA representative in Vienna, customer audit rights, and a subprocessor list naming each processor with location and transfer mechanism.
Held against it
- A visualization is powered by a single dataset and data from two or more datasets cannot be combined, with stated limits of 5,000 records, 80 columns and 4MB per dataset.
- SSH tunnelling is not a supported connection type for the Databases data source, so the host must be a publicly accessible address allow-listed against six published IP addresses.
- Single sign-on requires an Enterprise subscription priced "Let's talk pricing tailored to your organization", so the annual cost of the tier carrying authentication cannot be computed from public pages.
- We found no public information on row-level security, customer-facing audit logs, SCIM provisioning, or export of dashboards and definitions in a reusable format on leaving.
- Client data is processed in the EEA and the US, every subprocessor on the published list is located in the United States — including Amazon Web Services, named for "all data stored within our database and services" — and we found no public information on an option to confine processing to the EEA.
Best for
- You want office TV screens, Slack or Teams threshold alerts and scheduled snapshots for KPIs pulled from tools like HubSpot, Salesforce, Zendesk or Google Sheets.
- You need to give many people read-only access: viewers are unlimited on every plan, and share links and iframe embedding require no login.
- Your buyer must compute the subscription before a sales call from the two public tiers and per-unit add-on prices.
- You can pre-aggregate your data or push it through the Datasets API, staying within the stated 5,000-record and 4MB limits per dataset.
Avoid if
- You need to blend two or more datasets in one visualization, or to exceed the stated 5,000-record, 80-column, 4MB dataset limits.
- Your database is reachable only through an SSH tunnel or a private host, since connections require a publicly accessible address.
- You require single sign-on at a computable price, since it sits in the Enterprise tier priced "Let's talk pricing tailored to your organization".
- You must confine processing to the EEA: the pages state client data is processed in the EEA and the US, and we found no public information on an EU-only hosting option.
The scores
| Criterion | Panel median |
|---|---|
| Data sources, connectors & refresh | 3 of 5 |
| Dashboards, charts & interactivity | 2 of 5 |
| Self-service analysis & shared metrics | 2 of 5 |
| Sharing, scheduled reports & embedding | 2.5 of 5 |
| Access control, administration & portability | 2 of 5 |
| European sovereignty | 2 of 5 |
| Pricing transparency | 3 of 5 |
Data sources, connectors & refresh
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How this is scored
Which data the product can reach and how it stays current: native connectors to databases and warehouses (PostgreSQL, MySQL, SQL Server, BigQuery, Snowflake), to business applications (accounting, ERP, CRM, shop, help desk, ad platforms) and to files and spreadsheets (Excel, CSV, Google Sheets), live queries versus imported extracts, scheduled and incremental refresh with its minimum interval, joining data from several sources, light data preparation, access to databases behind a firewall (gateway, SSH tunnel, IP allow-list), and a generic REST or custom connector for what is not listed.
0 — Not a reporting product, or data can only be typed or pasted in by hand.
3 — Spreadsheet and file uploads plus a handful of named connectors; refresh schedules, live queries and blending sources are basic or not described.
5 — A published connector list covering the common databases, warehouses, spreadsheets and several named business applications, scheduled refresh with its interval stated, live queries or extracts at the customer's choice, data from two sources combined in one report, and a documented way to reach a database behind a firewall.
8 — Hundreds of maintained connectors or a full SQL layer over every major warehouse, incremental refresh and caching explained, a built-in data preparation or modelling step, a gateway or agent for on-premise sources, a generic REST or custom connector SDK, and connector limits (rows, API calls, history) stated per plan.
10 — Connectivity an organisation can standardise on: every source reachable live or by extract with the trade-offs documented, refresh down to minutes with lineage from report back to source, source changes detected and reported, and connector behaviour, quotas and failure handling published.
The Finance Controller
A published list of more than ninety integrations including Salesforce, HubSpot, QuickBooks Online and Google Sheets, direct SELECT-only SQL access to MySQL, PostgreSQL, MariaDB, SQL Server, Redshift and Snowflake, a published refresh table running down to 30 seconds per source, an IP allow-list for the database, and a push API with Python and Ruby client libraries would let me wire the ERP and CRM in. It stops short of the next level: SSH tunnelling is explicitly unsupported and the database host must be publicly reachable, queries are capped at 15 seconds and 4MB, and a visualization cannot combine two datasets — my DATEV and CRM numbers would sit side by side on the dashboard, never in one calculation. 2 5 7 12 13 16
The Managing Director
HubSpot, Zendesk, QuickBooks, Jira and monday.com are all named among 90+ connectors, there is a published refresh table (HubSpot every 10 minutes with deal metrics immediate, Google Sheets within 3 minutes, Zendesk Talk every 30 seconds), and a Databases option covering MySQL, MariaDB, PostgreSQL, Redshift, Snowflake and SQL Server with a documented IP allow-list. Two things temper it: the pages state you cannot combine data from two or more datasets in one visualization, and SSH tunnelling is not a supported connection type — the database host must be publicly reachable. The documented limits (5,000 records per dataset, 200 datasets per account, 4MB data limit, 15-second queries) tell me this is a KPI dashboard tool rather than a data platform, which honestly suits me fine. 2 5 7 12 13 16
The Data Analyst
My PostgreSQL warehouse is covered: the databases data source names MySQL, MariaDB, PostgreSQL, Amazon Redshift, Snowflake and SQL Server, there is a published per-source refresh table (Google Sheets within 3 minutes, Zendesk Talk every 30 seconds, user-configurable for databases) and a documented IP allow-list for reaching a database behind a firewall — though the captured pages state SSH tunnelling is not supported and the host must be publicly accessible. The push Datasets API gives me a generic route for in-house systems, and limits are stated (5,000 records, 80 columns, 200 datasets, 15-second queries, 60 requests per minute), but the pages state a visualization is powered by a single dataset and cannot combine two or more, so blending happens only at dashboard level. 2 5 7 12 13 16
The IT Administrator
A published connector list of 90+ integrations covering six named SQL databases (MySQL, MariaDB, PostgreSQL, Amazon Redshift, Snowflake, Microsoft SQL Server), spreadsheets and many business applications, with a per-source refresh table down to 30 seconds for one source and user-configurable database refresh, meets the documented-connector level. What holds it there for me: the only documented route to a database behind our firewall is a publicly accessible host allow-listed against six published IP addresses — SSH tunnelling is stated as unsupported — and a visualization is powered by a single dataset, so data from two or more datasets cannot be combined to build a visualization; dataset limits of 5,000 records, 80 columns and a 4MB data size limit are stated. 5 7 12 13 16
The SaaS Product Lead
Ninety-plus named connectors, six databases from MySQL to Snowflake, a published per-source refresh table running down to seconds, a documented IP allow-list and a push API with client libraries give a genuinely usable connector story. The documented limits bite hard for our volumes though: a visualization cannot combine two datasets, SSH tunnelling is an unsupported connection type, and datasets cap at 5,000 records and 4 MB. 2 5 7 12 13 16
The Skeptic
A published A-to-Z refresh table with per-source intervals down to 30 seconds for Zendesk Talk, six named SQL databases reached through a documented IP allow-list, 90+ named business apps and stated dataset limits (200 datasets, 5,000 records, 80 columns) is more than brochure-ware. But SSH tunnelling is documented as unsupported and the database host must be publicly reachable, a visualization cannot combine two datasets, and we found no public information on incremental refresh, caching or a gateway for on-premise sources. That lands just above the middle of the scale. 2 5 7 12 13 16
Dashboards, charts & interactivity
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How this is scored
What can be built and how readers use it: the range of chart types, tables and pivot tables, maps, KPI tiles with targets and comparisons, dashboard layout, filters and date controls that apply across a dashboard, drill-down and drill-through, cross-filtering by clicking a chart, templates for common sources, mobile and TV display, theming to the company's design, number formatting and localisation (decimal comma, currencies, German date formats), and accessibility of the result.
0 — No charts or dashboards; the product only stores or moves data.
3 — Standard bar, line and pie charts and a table on a dashboard; filters, drill-down and mobile display are basic or not described.
5 — A broad chart library with pivot tables, maps and KPI tiles with comparison to a previous period or target, dashboard-wide filters and date ranges, drill-down, templates for common sources, a mobile view, and number and date formats localised.
8 — Cross-filtering and drill-through between dashboards, custom visuals or a chart SDK, conditional formatting and annotations, dashboards themed to a brand, TV and presentation modes, pixel-exact or paginated reports for print, and accessibility of charts documented.
10 — Dashboards that a whole organisation reads daily: every interaction (filter, drill, cross-filter, parameter) available to readers without editor rights, performance on large data stated, accessibility conformance (WCAG) published, and every chart reproducible from a documented query.
The Finance Controller
Seven widget types — number, gauge, line, column, bar, leaderboard and table — with goals, status indicators, period comparisons, drill-down into the underlying records and click-through to the CRM cover the KPI wall on the shop floor well, and TV loops, brand colours and logo, mobile access and fine number formatting are all documented. But filters live inside each widget rather than across the dashboard, and we found no public information on pivot tables, maps, dashboard-wide date controls, localised formats or print-clean paginated layouts — the advisory board would get a scheduled screenshot, not a report. 2 3 7 14 15 18
The Managing Director
Number, gauge, line, column, bar, leaderboard and table widgets with goals, status indicators, comparisons over time, leaderboards, drill-down that clicks through to the CRM or support tool, plus TV display with loops and mobile access — that covers my office screen and my phone well. Filters are set per widget in the configuration panel, however, and we found no public information on dashboard-wide filter or date controls, maps, pivot tables, cross-filtering, or localised number and date formats. 2 3 7 14 15
The Data Analyst
The chart vocabulary is deliberately narrow — number, gauge, line, column, bar, leaderboard and table — but KPI tiles with goals, status indicators and period comparisons, drill-down into underlying data, TV display with loops, and brand colors and logo are all documented, with fine number formatting (abbreviations, decimal places, ISO 4217 currency codes). I found no public information on pivot tables, maps, cross-filtering or dashboard-wide date controls, filters are set per widget, and the share-link view is documented as desktop-only. 2 3 7 14 15 18
The IT Administrator
Seven chart types are documented — number, gauge, line, column, bar, leaderboard and table — with drill-down to underlying data and click-through to the source tool, goals and status indicators, comparisons over time, drag-and-drop layout, TV and mobile display, and fine-tuning of abbreviations, decimal places and units. Filters are set per widget in the configuration panel rather than across a dashboard, and we found no public information on maps, pivot tables, cross-filtering, chart templates or localised number and date formats. 2 3 6 7 14 15
The SaaS Product Lead
The chart library is deliberately narrow — number, gauge, line, column, bar, leaderboard, table — with goals, comparisons over time, drill-down, TV and mobile display, brand colours and logo, and tidy number formatting. We found no public information on pivot tables, maps, dashboard-wide filters or localised number and date formats. 2 3 7 14 15
The Skeptic
Seven widget types (number, gauge, line, column, bar, leaderboard, table), per-widget filters with Split-by, goals with status indicators and comparisons, TV loops and mobile access cover the KPI-screen use case well. We found no public information on maps, pivot tables, cross-filtering or dashboard-wide filters and date controls, share links render desktop view only, and number formatting stops at abbreviation, decimal places and a three-character unit. The chart library is narrow by BI standards. 1 3 7 14 15 18
Self-service analysis & shared metrics
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How this is scored
Whether people outside the data team can answer their own questions and whether everyone gets the same answer: a visual query builder, a SQL editor for analysts, calculated fields and formulas, a semantic layer or data model where metrics such as revenue or churn are defined once and reused, metric definitions under version control (Git, dbt integration), questions in natural language with the generated query shown, forecasting and anomaly detection with the method stated, and notebooks or Python for deeper analysis.
0 — Dashboards can only be viewed; no one can ask a new question of the data.
3 — Charts are configured from a field list and simple calculated fields; shared metric definitions, SQL and a query builder are basic or not described.
5 — A visual query builder for business users and a SQL editor for analysts, calculated fields and formulas, saved questions reused across dashboards, a data model or dataset layer where joins and metrics are defined once, and natural-language questions that show the query they ran.
8 — A semantic layer with governed metrics and dimensions reused across every report, definitions in code under Git version control or synced with dbt, certified or endorsed datasets, forecasting and anomaly detection with the method stated, and Python or notebook analysis beside the dashboards.
10 — Self-service that stays consistent at scale: every metric defined once and traced to every chart that uses it, changes reviewed and tested before they reach readers, AI answers grounded in the semantic layer with their limits documented, and the model exportable in an open format.
The Finance Controller
Colleagues get a no-code drag-and-drop widget builder and I get a SQL editor over the databases, and the Metrics MCP server now lets Claude and ChatGPT work with the metrics engine. But visualizations are powered by one dataset at a time and combining two datasets to create a new metric is documented as not possible, and we found no public information on calculated fields, a semantic layer where contribution margin is defined once, or definitions under version control — I would be re-entering the same formula in every widget. 3 5 7 16 17
The Managing Director
Business people pick metrics with no code, there is server-side aggregation and grouping so nobody has to pre-calculate, and a documented SQL route for database sources (SELECT-only, views and tables, 15-second query limit) with CAST workarounds spelled out. Beyond that the depth stops: we found no public information on calculated fields, a shared metric layer where revenue is defined once and reused, forecasting with its method, or notebooks — though AI assistants can reach their metrics engine through the new MCP server, and visualizations cannot combine datasets. 2 3 5 7 16
The Data Analyst
There is a documented SQL path — write a SELECT against my database and build the visualization from the query — plus a no-code drag-and-drop widget builder with filters and split-by for colleagues, and server-side aggregation so I need not pre-aggregate. The heart of my job is not evidenced, though: I found no public information on calculated fields, a shared metrics model where revenue is defined once, Git or dbt versioning, or forecasting; the MCP server does expose metrics to AI assistants like Claude and ChatGPT, but the captured pages do not show a generated query alongside an answer. 2 3 5 7 16
The IT Administrator
SQL is supported to fetch data (SELECT statements only, with views and tables loadable and CAST workarounds for unsupported types), widgets are configured from fields with filters and split-by, and the metrics MCP server lets Claude, ChatGPT and other AI tools work with the metrics engine. The captured pages state visualizations draw on individual datasets and data from two or more datasets cannot be combined to build a visualization, and we found no public information on calculated fields, a semantic layer where metrics are defined once, version-controlled definitions, forecasting, or whether AI answers show the query they ran. 2 5 7 15 16
The SaaS Product Lead
Business users get a no-code drag-and-drop builder with filters and split-by, members can create their own dashboards, and analysts can run SELECT queries against connected databases. But data from two or more datasets cannot be combined in one visualization, and we found no public information on a semantic layer, calculated fields or shared metric definitions — with 600 customers, each would rebuild the same metric by hand. 2 3 7 16 21
The Skeptic
Widget configuration is no-code and a SQL path over the six supported databases is documented with its limits (SELECT-only, 15-second execution, views and tables). But we found no public information on calculated fields, a semantic layer where metrics are defined once and reused, version-controlled definitions, or forecasting with a stated method — and the MCP server hands the metrics engine to Claude and ChatGPT without ever showing the query that ran. 2 3 5 7 16 17
Sharing, scheduled reports & embedding
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How this is scored
How results reach the people who need them: sharing a dashboard with colleagues and with external parties, public or password-protected links, scheduled reports by email or chat (Slack, Microsoft Teams) as PDF, image or data, threshold alerts, comments and annotations, export to PDF, PowerPoint and Excel, embedding dashboards in an intranet, a website or the company's own software product, white-label options, and per-customer data separation for embedded use.
0 — Results cannot leave the editor; no sharing, export or embedding.
3 — Dashboards shared with other users of the account and exported to PDF or CSV; scheduled reports, alerts and embedding are basic or not described.
5 — Sharing with colleagues and by link, scheduled email reports with PDF or image, alerts when a metric crosses a threshold, export to PDF and Excel, and dashboards embedded in a website or intranet with an iframe or script.
8 — Reports delivered to Slack or Microsoft Teams, comments and annotations on dashboards, signed embedding with row-level filtering per viewer, an embedding SDK for a software product with white-label styling, client or guest portals, and an embedding licence model documented.
10 — Distribution as a product: multi-tenant embedded analytics with per-customer data isolation, theming and custom domains, end-user self-service inside the host application, every delivery channel automatable through an API, and usage of shared and embedded content reported to the customer.
The Finance Controller
Share links that need no login yet can be IP-restricted, regenerated or deleted, iframe embedding into Notion, Microsoft Teams, Miro and Zendesk, scheduled snapshots by email, Slack and Teams, and threshold alerts in Slack and Teams cover distribution to the production hall and the board. We found no public information on PDF or PowerPoint export, comments on dashboards, or signed embedding with row-level filtering per viewer, embedded dashboards are served from the vendor's own domain, and share links display a desktop view only. 2 3 4 18 19
The Managing Director
My Monday morning is covered: scheduled snapshots go out over email, Slack or Microsoft Teams, you can set a goal on any KPI and get notified in Slack or Teams when it is crossed, and share links give view-only access with no login, IP restrictions, regeneration to revoke and search engines blocked. Embedding is an iframe served from share.geckoboard.com into Notion, Microsoft Teams, Miro or Zendesk via a code snippet; we found no public information on white-label styling, per-viewer row filtering, comments, an embedding SDK or an embedding licence model, and share links support a desktop view only. 2 3 4 18 19
The Data Analyst
Scheduled snapshots over email, Slack and Microsoft Teams, threshold alerts on any KPI to the same channels, revocable no-login share links with IP restrictions and search-engine blocking, and iframe embedding from share.geckoboard.com into tools like Notion, Teams, Miro or Zendesk are all documented — that covers how my colleagues would actually receive numbers, on desktop, mobile and TV. I found no public information on PDF or Excel export of full dashboards, comments and annotations, or signed embedding with per-viewer row filtering for a software product. 2 3 4 18 19
The IT Administrator
Distribution is thoroughly documented: view-only share links as hash URLs with IP restriction and regeneration or deletion to revoke access, search engines blocked, scheduled snapshot reports over email, Slack or Microsoft Teams, threshold alerts in Slack and Teams, and iframe embedding with a code snippet into Notion, Teams, Miro or Zendesk, plus CSV export in the interactive view. 2 3 4 18 19
The SaaS Product Lead
Links without login, IP-restricted share links, scheduled snapshots by email, Slack and Microsoft Teams, alerting when a KPI crosses a set point, and iframe embedding cover the KPI-screen use case well. But embedded dashboards are served from the vendor's own share domain, and we found no public information on signed embedding, per-viewer row filtering, a white-label SDK or an embedding licence I could price into my product. 2 3 4 18 19
The Skeptic
Share links need no login, can be IP-restricted and revoked by regenerating or deleting, threshold alerts fire to Slack and Teams, scheduled snapshots go out by email, Slack and Teams, and dashboards embed by iframe in Notion, Teams, Miro or Zendesk. We found no public information on password-protected links, PDF or Excel export, comments, or per-viewer filtering on embedded dashboards, and embedding is served from the vendor's own share domain. 2 3 4 6 18 19
Access control, administration & portability
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How this is scored
What a company needs before it gives the tool to everyone, and what leaving would cost: roles and folder or workspace permissions, row-level and column-level security, single sign-on (SAML, OpenID Connect) and user provisioning (SCIM), audit logs and usage analytics, content certification and lifecycle, environments for development and production, a public REST API for administration and content, export of dashboards and definitions in a reusable format, open-source code, and a self-hosted or on-premise edition the customer runs on its own servers.
0 — A single shared login with no permissions; dashboards cannot be exported or administered.
3 — Users with view and edit rights; row-level security, single sign-on, an API and export of definitions are basic or not described.
5 — Roles and folder or workspace permissions, row-level security documented, single sign-on on at least one stated plan, an audit log, a documented REST API, and dashboards and data exportable on termination.
8 — Column-level security and data permissions inherited from the source, SAML and SCIM provisioning, usage analytics for admins, development and production environments or content promotion, dashboards and definitions as code that can be versioned and moved, and a self-hosted or on-premise edition with its own documentation.
10 — Governance and an exit that can be verified: open-source code under a named licence that runs fully self-hosted with feature parity stated, every object (data model, dashboards, permissions) exportable in a documented format another instance imports, audit logs streamed to the customer's own systems, and deletion of every copy on termination documented.
The Finance Controller
There is a real permissions model: a documented matrix of account owner, admin and viewer roles with invited access to specific dashboards, plus SAML and OAuth single sign-on on the Enterprise plan, IP restrictions, and Enterprise field-import controls to limit what is pulled in. But we found no public information on row-level security, an admin audit log, SCIM provisioning, development and production environments, or export of dashboards and definitions on leaving — the documented deletion is of client data by deleting the service account, and the only logged account access described is that of the vendor's own staff. 7 8 11 20 21
The Managing Director
A published roles matrix (account owner, admin, editors, view-only, limited dashboard access), detailed single sign-on documentation for the Enterprise plan covering SAML and Google OAuth with enforcement, 24-hour sessions and offboarding, plus IP restrictions, are enough for me to hand this to 40 people. We found no public information on row-level security, a customer-side audit log, SCIM provisioning, development and production environments, or export of dashboards and definitions in a reusable format, and the documented API is for pushing datasets rather than administering content; customer-initiated deletion by deleting the account is documented. 7 8 11 20 21
The Data Analyst
The roles matrix is published in real detail — owner, admin, explorer, organization view-only and dashboard-limited members, each mapped to viewing, editing, drill-down and billing rights — and SAML single sign-on is documented for Enterprise plans and enforced for all users, with IP restrictions on both the account and share links. My exit path is the weak spot: I found no public information on row-level security, audit logs, export of dashboards and definitions in a reusable format, development and production environments, or a self-hosted edition, and the documented REST API covers dataset data rather than administration of content. 7 8 11 20 21
The IT Administrator
A role model is documented — account owner, admin, view-only members, and limited-access members restricted to invited dashboards — together with IP restrictions, granular field import controls on Enterprise plans, and single sign-on via SAML (Okta, OneLogin, Microsoft Entra ID) and OAuth for G Suite, enforced for all users once enabled, though it requires an Enterprise subscription. We found no public information on row-level security, a customer-facing audit log, SCIM provisioning, development and production environments, export of dashboards and definitions in a reusable format, or a self-hosted edition; the documented REST API is for pushing and updating datasets rather than administration. 7 11 20 21
The SaaS Product Lead
Five defined roles with dashboard-level invitations, IP restrictions, and SAML single sign-on on the Enterprise plan are documented in real depth, including enforcement and session behaviour. We found no public information on row-level security, customer audit logs, SCIM provisioning, export of dashboards and definitions, or a self-hosted edition — the per-customer data separation my product needs is not documented. 6 11 20 21
The Skeptic
A five-role permission matrix (account owner, admin, explorer, view-only, limited access) with drilldown as a controlled permission, IP restrictions and SSO via SAML and OAuth enforced for all users is sound administration for this class of tool. But SSO sits on the Enterprise plan, whose price is a conversation, and we found no public information on row-level security, SCIM provisioning, customer-side audit logs, development and production environments, export of dashboards and definitions in a reusable format, or any self-hosted edition. Leaving looks like a one-way door. 7 8 11 20 21
European sovereignty
panel opinion
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How this is scored
Who the contracting entity and the parent company are, where the connected business data is queried, cached, extracted and stored, and who the subprocessors are (hosting, query engine, AI model providers, email delivery of reports, support and payment tools). Independently sourced by the sovereignty pipeline; a BI tool reads revenue, customer and employee data from many systems, so every place a copy or cache lands counts, not only the account database. A self-hosted or open-source edition the customer runs on its own European servers counts as the customer's chain, whatever the vendor's seat.
0 — Non-EU vendor and contracting entity, hosting unstated, subprocessors unnamed, and no data processing agreement offered.
3 — A privacy policy and a data processing agreement exist, but hosting location is unstated or non-EU and the subprocessors are not listed.
5 — EU hosting available and an EU contracting entity or EU representative, but parts of the chain (query engine, extracts and caches, AI features, report emails, support, payment) run through non-EU providers without a stated safeguard.
8 — EU hosting on named infrastructure, EU contracting entity, subprocessors listed with their locations, a data processing agreement published, where extracts and caches are stored stated, and security certifications (ISO 27001, SOC 2) stated — or a self-hosted edition documented that keeps every query and cache on the customer's own servers.
10 — Sovereign end to end and evidenced: European ownership, entity, hosting and every subprocessor including AI features, or a self-hosted open-source edition with no call home, data export and deletion documented, and certifications published with their scope rather than implied.
The Finance Controller
The chain is at least transparent: the subprocessor page names AWS, Google, Recurly, SendGrid and six others with location and transfer mechanism, a 2025 data processing agreement and an EU representative in Vienna are published, and encryption and annual penetration tests are stated. But the contracting entity Datachoice Solutions Ltd sits in London, client data is processed in the EEA and in the US with all stored data at Amazon Web Services in the United States and every listed subprocessor US-based, we found no public information on an EU-only hosting option, and the stated certifications are PCI DSS and CASA. 8 9 10 11
The Managing Director
The contracting entity is Datachoice Solutions Ltd trading as Geckoboard, registered in London with an EU representative in Vienna, a published 2025 DPA, an EU Data Act Addendum and audit rights, and every subprocessor is listed by name, purpose and location — but all of them sit in the United States, including Amazon Web Services which stores all data, and client data is processed in the EEA and the US, with no public information on an option to confine processing to the EEA. The certifications stated are CASA, PCI DSS, GDPR and CCPA compliance; we found no public information on ISO 27001 or SOC 2, and no self-hosted edition. 8 9 10 11
The Data Analyst
The contracting entity is Datachoice Solutions Ltd in London, client data is stated to be processed in the EEA and the US with all stored data held by Amazon Web Services Inc. in the United States, and every listed subprocessor — including report-email delivery via Sendgrid, support via Intercom and payment via Recurly — is US-based under the Data Privacy Framework. There is an EEA GDPR representative in Vienna, a published data processing agreement, customer audit rights and annual external security audits, but the captured pages name no EU hosting region, no way to confine processing to the EEA, and no ISO 27001 or SOC 2 certification — only PCI DSS and CASA. 8 9 10 11
The IT Administrator
The subprocessor list is published with locations and transfer mechanisms, a 2025 data processing agreement and an EU Data Act addendum exist, an EEA representative is named in Vienna, and customers have audit rights with annual external security audits. But every listed subprocessor is located in the United States, including the cloud provider named as holding "all data stored within our database and services"; the privacy policy states Client Data is processed in the EEA and in the US, we found no public information on an option to confine processing to the EEA, the contracting entity is a UK company, the stated certifications are PCI DSS, CASA, GDPR and CCPA rather than ISO 27001 or SOC 2, and we found no public information on a self-hosted edition. 8 9 10 11
The SaaS Product Lead
Transparency is good: a published 2025 data processing agreement, an EU Data Act addendum, an EU representative in Vienna, audit rights, and a full subprocessor list with locations and transfer mechanisms. But the contracting entity is UK, client data is processed in the EEA and the US with storage on Amazon Web Services in the United States, every listed subprocessor is US-based, the stated certifications are PCI DSS and CASA rather than ISO 27001 or SOC 2, and we found no public information on an option to confine processing to the EEA. 8 9 10 11
The Skeptic
The subprocessor list is unusually candid: every named processor — including Amazon Web Services, which holds "All data stored within our database and services" — sits in the United States under Data Privacy Framework transfers, and Client Data is processed in the EEA and the US with no EU-only hosting option documented. A London entity, a Vienna EEA representative, a published DPA with customer audit rights and contractual safeguards for transfers soften the picture, and CASA and PCI DSS are stated where ISO 27001 and SOC 2 are not. 8 9 10 11
Pricing transparency
Show reasoningHide reasoning
How this is scored
Whether a buyer can compute the real annual cost from public pages alone: price per creator or editor seat and whether viewers are free or paid, capacity or usage pricing (rows, refreshes, queries, AI credits), which features (row-level security, SSO, embedding, API, more connectors, faster refresh) sit behind a higher tier or "contact sales", the price of embedding for external users, the self-hosted edition's licence, the free tier and its limits, minimum term and setup.
0 — No public prices at all; every customer is a sales call.
3 — A starting price or a free tier exists, but how cost scales with viewers, data volume or features is unclear.
5 — Tiers are public with their seat price and main inclusions, but at least one commonly needed piece (viewer seats, row-level security, SSO, embedding, extra connectors or refresh frequency) is unpriced or "on request".
8 — Every tier priced publicly with its scaling rule (creators, viewers, capacity, rows), viewer pricing stated, add-ons and usage overage priced, embedded and self-hosted pricing stated, minimum term and VAT treatment stated.
10 — Complete price computability: annual cost derivable for a given number of creators and viewers, data volume and feature set, with every add-on, embedding, setup, support and overage fee and the cancellation and data-return terms published.
The Finance Controller
I can compute most of the bill from the pricing page: Essentials from $79 per month and Performance from $319 per month, each billed annually with a stated 20% annual saving, unlimited viewers on every plan, extra editors at $20 each, extra dashboards at $24 each and extra screens at $20 each, themes and custom logo at $40 extra, VAT stated as not included, and a 14-day trial without credit card. Two gaps keep it from full computability: single sign-on requires the Enterprise plan, whose pricing is "Let's talk", and the add-on prices state no billing period, so the true annual figure stays an estimate. 3 6 20
The Managing Director
Essentials From $79/month (billed annually) with 2 dashboards, 1 editor, 1 screen; Performance From $319/month (billed annually) with 20 dashboards, 3 editors, 5 screens; unlimited viewers on every plan, add-ons priced per unit ($24 per extra dashboard, $20 per editor, $20 per screen, $40 for advanced themes and custom logo), 20% annual saving, VAT not included, and a 14-day free trial with no credit card — I can compute my annual cost for the whole team without a sales call. The gap is the Enterprise tier, where single sign-on sits and pricing is "Let's talk", and we found no public information on a monthly-billing price or setup fees. 6 20
The Data Analyst
I can nearly compute my annual cost from the pricing page alone: Essentials from $79/month and Performance from $319/month, both billed annually with a 20% annual saving, unlimited viewers on every plan, and per-unit add-ons priced at $24 per extra dashboard, $20 per extra editor, $20 per extra screen and $40 for advanced themes, with VAT not included and a 14-day free trial without credit card. What I cannot compute is the tier that matters for governance: single sign-on requires an Enterprise subscription, and Enterprise pricing is only quoted as tailored to the organization. 3 6 20
The IT Administrator
Two tiers are publicly priced — Essentials "From $79 /month (billed annually)" with 2 dashboards, 1 editor and 1 screen, and Performance "From $319 /month (billed annually)" with 20 dashboards, 3 editors and 5 screens — with add-ons of $24/each for more dashboards, $20/each for more editors and $20/each for more screens, custom themes and logo at $40 extra, unlimited viewers and unlimited integrations on every plan, a 14-day free trial without credit card, and VAT stated as not included. Single sign-on requires the Enterprise plan, whose price is "Let's talk pricing tailored to your organization", so the annual cost of the tier carrying our authentication requirements cannot be computed from public pages; the 20% annual saving is given without a stated monthly-term price. 6 20
The SaaS Product Lead
The two lower tiers are public with real scaling rules — $24 per extra dashboard, $20 per editor, $20 per screen, 20% annual discount, VAT excluded, viewers unlimited on every plan — so most of the bill is computable. Single sign-on sits in an unpriced 'Let's talk' Enterprise tier and no embedding licence is priced, so I could not put an embedding cost into my product price before signing. 6 11 20
The Skeptic
Two tiers at "From $79 /month (billed annually)" and "From $319 /month (billed annually)" with per-unit add-ons ($20/each per editor or screen, $24/each per dashboard), unlimited viewers on every plan, a 20% annual discount and "All prices are in USD. VAT is not included." make the core cost computable. But SSO requires an Enterprise subscription priced as "Let's talk", and we found no public information on minimum term, a self-hosted licence or embedding for external users. 3 6 20
European sovereignty — proven facts
0 of 6 dimensions provenBuilt only from facts shown on the vendor's own pages. A dimension we could not prove is left open, not scored as zero.
| Legal entity | Not determined ⚠ unverified | — | uncited Report an error |
|---|---|---|---|
| Hosting location | Not determined ⚠ unverified | — | uncited Report an error |
| Hosting options | Not determined ⚠ unverified | — | uncited Report an error |
| Open source | Not determined | — | uncited Report an error |
| Data processing agreement | Not determined | — | uncited Report an error |
| Transfer impact assessment | Not determined | — | uncited Report an error |
Questions about Geckoboard
Is Geckoboard European?
Yes, though not from the EU. whats-best.ai classifies Geckoboard as UK / wider Europe.
Where does Geckoboard store data?
Not stated on the vendor’s pages as of 1 Nov 2026.
Does Geckoboard have a free plan?
Not stated on the vendor’s pages as of 1 Nov 2026.
What are the best alternatives to Geckoboard?
As of 1 Nov 2026, the panel rates Metabase (3.5/5), Preset (Apache Superset) (3.5/5) and Holistics (3/5) highest among the other 15 Business Intelligence & Dashboards products evaluated. Ratings that look equal are rounded to half stars; the order uses the unrounded rating, then the name. The highest-rated European alternative is Luzmo (EU-Made). Ratings are the AI panel’s opinion, formed from public evidence: how scores are made. The full list, with European products first: Geckoboard alternatives.
Where this could be wrong
- Evidence ages. The oldest capture behind this page is from 1 Nov 2026. Vendors change pricing and policies without notice; every fact reflects its source as of the capture date shown in the registry.
- Weak sourcing — Legal entity, Hosting options. Not confirmed on the vendor’s own pages as captured.
- Weak sourcing — Hosting location. The page says data is processed in both the EEA and the US but names no EU hosting region and no option to confine processing to the EEA; the subprocessor page corroborates that storage sits with Amazon Web Services Inc. in the United States.
- AI can misread a source. Extraction and judgement are automated; a citation guarantees traceability, not infallibility. If something here is wrong, say so — no account needed, every report is decided within 5 business days, and accepted corrections are published.
What we left out
A claim that does not survive our checks costs us the claim, not the page. This is what was taken off this one.
- 26 product facts could not be confirmed on the vendor’s page as captured and were left out of this page and of the panel’s material. Know more? Tell us
- 12 integrations facts could not be confirmed on the vendor’s page as captured and were left out of this page and of the panel’s material. Know more? Tell us
- 7 pricing facts could not be confirmed on the vendor’s page as captured and were left out of this page and of the panel’s material. Know more? Tell us
- 4 subprocessors facts could not be confirmed on the vendor’s page as captured and were left out of this page and of the panel’s material. Know more? Tell us
- 2 compliance facts could not be confirmed on the vendor’s page as captured and were left out of this page and of the panel’s material. Know more? Tell us
- 1 hosting fact could not be confirmed on the vendor’s page as captured and was left out of this page and of the panel’s material. Know more? Tell us
- 1 legal fact could not be confirmed on the vendor’s page as captured and was left out of this page and of the panel’s material. Know more? Tell us
- 1 support fact could not be confirmed on the vendor’s page as captured and was left out of this page and of the panel’s material. Know more? Tell us
- 2 sovereignty dimensions could not be confirmed on the vendor’s own pages and are shown as unknown. Know more? Tell us
- 6 of the readings below were written against an earlier fact sheet — a fact has been corrected, added or pulled since. Until the panel next runs on this product you are reading the older judgement. Know more? Tell us
Sources (21)
The pages every claim on this page was read from — each one checked, dated, and kept verifiable.
- 1 Vendor homepage www.geckoboard.com Checked 1 Nov 2026 Details →
- 2 Features page www.geckoboard.com Checked 1 Nov 2026 Details →
- 3 Features page (dashboard creator) www.geckoboard.com Checked 1 Nov 2026 Details →
- 4 Features page (sharing) www.geckoboard.com Checked 1 Nov 2026 Details →
- 5 Integrations page (data sources) www.geckoboard.com Checked 1 Nov 2026 Details →
- 6 Pricing page www.geckoboard.com Checked 1 Nov 2026 Details →
- 7 API documentation developer.geckoboard.com Checked 1 Nov 2026 Details →
- 8 Privacy policy www.geckoboard.com Checked 1 Nov 2026 Details →
- 9 Data processing agreement (dpa) www.geckoboard.com Checked 1 Nov 2026 Details →
- 10 Subprocessor list www.geckoboard.com Checked 1 Nov 2026 Details →
- 11 Security / trust page support.geckoboard.com Checked 1 Nov 2026 Details →
- 12 Data sources, connectors & refresh — found from sitemap support.geckoboard.com Checked 1 Nov 2026 Details →
- 13 Data sources, connectors & refresh — found from sitemap support.geckoboard.com Checked 1 Nov 2026 Details →
- 14 Dashboards, charts & interactivity — found from sitemap support.geckoboard.com Checked 1 Nov 2026 Details →
- 15 Dashboards, charts & interactivity — found from sitemap support.geckoboard.com Checked 1 Nov 2026 Details →
- 16 Self-service analysis & shared metrics — found from sitemap support.geckoboard.com Checked 1 Nov 2026 Details →
- 17 Self-service analysis & shared metrics — found from sitemap support.geckoboard.com Checked 1 Nov 2026 Details →
- 18 Sharing, scheduled reports & embedding — found from sitemap support.geckoboard.com Checked 1 Nov 2026 Details →
- 19 Sharing, scheduled reports & embedding — found from sitemap support.geckoboard.com Checked 1 Nov 2026 Details →
- 20 Access control, administration & portability — found from sitemap support.geckoboard.com Checked 1 Nov 2026 Details →
- 21 Access control, administration & portability — found from sitemap support.geckoboard.com Checked 1 Nov 2026 Details →