whats-best.ai
Search Sign in

Business Intelligence & Dashboards

Geckoboard

UK / wider Europe Report an error

Panel rating · 6 judges · How to read the stars

Category median

Sovereignty: not determined

0–5 in half steps. 5 means the rubric's top anchor is met on the evidence.

by Datachoice Solutions Ltd · www.geckoboard.com

Report an error on this page Is this your product? →

Link to this page

Geckoboard: AI-assisted analysis on whats-best.ai Geckoboard: AI-assisted analysis on whats-best.ai (dark)

Add ?theme=dark to the image address for dark backgrounds. The badge shows the category and the month of the latest evaluation, and EU-Made where that is the product’s provenance. It never shows a score.

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

Geckoboard alternatives, European ones first →

Read this page as one judge. Each weighs the same scores by what they care about.

The Data Analyst

Weighted verdict

The first data hire at a Hamburg e-commerce scale-up, with orders, marketing spend and customer data landing in a PostgreSQL warehouse every night. Answers the same question three times a week because every department computes revenue differently. Wants a SQL editor and a query builder for colleagues, metrics defined once in a model that lives in Git, natural-language questions that show the query they ran, and a way out that does not mean rebuilding every dashboard.

Same scores as the panel view — this lens weights them the way this judge cares.

Scored by The Data Analyst

Panel median The Data Analyst This judge’s scores over the panel median. Each label opens its reasoning below.
Scores per criterion, in stars out of 5
Criterion Panel median The Data Analyst
Data sources, connectors & refresh 3 of 5 3 of 5
Dashboards, charts & interactivity 2 of 5 2 of 5
Self-service analysis & shared metrics 2 of 5 2 of 5
Sharing, scheduled reports & embedding 2.5 of 5 2.5 of 5
Access control, administration & portability 2 of 5 2 of 5
European sovereignty 2 of 5 2 of 5
Pricing transparency 3 of 5 3.5 of 5

Data sources, connectors & refresh

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.

Report an error

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

Report an error

Dashboards, charts & interactivity

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.

Report an error

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

Report an error

Self-service analysis & shared metrics

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.

Report an error

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

Report an error

Sharing, scheduled reports & embedding

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.

Report an error

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

Report an error

Access control, administration & portability

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.

Report an error

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

Report an error

European sovereignty

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.

Report an error

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

Report an error

Pricing transparency

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.

Report an error

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

Report an error

European sovereignty — proven facts

0 of 6 dimensions proven

Built only from facts shown on the vendor's own pages. A dimension we could not prove is left open, not scored as zero.

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

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.

Do you know more about Geckoboard? Tell us Report an error on this page

Sources (21)

The pages every claim on this page was read from — each one checked, dated, and kept verifiable.

  1. 1 Vendor homepage www.geckoboard.com Checked 1 Nov 2026 Details →
  2. 2 Features page www.geckoboard.com Checked 1 Nov 2026 Details →
  3. 3 Features page (dashboard creator) www.geckoboard.com Checked 1 Nov 2026 Details →
  4. 4 Features page (sharing) www.geckoboard.com Checked 1 Nov 2026 Details →
  5. 5 Integrations page (data sources) www.geckoboard.com Checked 1 Nov 2026 Details →
  6. 6 Pricing page www.geckoboard.com Checked 1 Nov 2026 Details →
  7. 7 API documentation developer.geckoboard.com Checked 1 Nov 2026 Details →
  8. 8 Privacy policy www.geckoboard.com Checked 1 Nov 2026 Details →
  9. 9 Data processing agreement (dpa) www.geckoboard.com Checked 1 Nov 2026 Details →
  10. 10 Subprocessor list www.geckoboard.com Checked 1 Nov 2026 Details →
  11. 11 Security / trust page support.geckoboard.com Checked 1 Nov 2026 Details →
  12. 12 Data sources, connectors & refresh — found from sitemap support.geckoboard.com Checked 1 Nov 2026 Details →
  13. 13 Data sources, connectors & refresh — found from sitemap support.geckoboard.com Checked 1 Nov 2026 Details →
  14. 14 Dashboards, charts & interactivity — found from sitemap support.geckoboard.com Checked 1 Nov 2026 Details →
  15. 15 Dashboards, charts & interactivity — found from sitemap support.geckoboard.com Checked 1 Nov 2026 Details →
  16. 16 Self-service analysis & shared metrics — found from sitemap support.geckoboard.com Checked 1 Nov 2026 Details →
  17. 17 Self-service analysis & shared metrics — found from sitemap support.geckoboard.com Checked 1 Nov 2026 Details →
  18. 18 Sharing, scheduled reports & embedding — found from sitemap support.geckoboard.com Checked 1 Nov 2026 Details →
  19. 19 Sharing, scheduled reports & embedding — found from sitemap support.geckoboard.com Checked 1 Nov 2026 Details →
  20. 20 Access control, administration & portability — found from sitemap support.geckoboard.com Checked 1 Nov 2026 Details →
  21. 21 Access control, administration & portability — found from sitemap support.geckoboard.com Checked 1 Nov 2026 Details →