Business Intelligence & Dashboards
Count
UK / wider Europe Report an error0–5 in half steps. 5 means the rubric's top anchor is met on the evidence.
by Count Technologies Ltd · count.co
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Count at a glance
- Vendor
- Count Technologies Ltd
- Headquarters
- Not stated on the vendor’s pages as of 1 Nov 2026
- Data hosting
- Default not stated; pages mention the EU and the US source, captured 1 Nov 2026
- Free plan
- Yes, per the vendor’s own page source, captured 1 Nov 2026
- Panel verdict
- The AI panel rates Count 2.5/5, the mean of 6 judges. Count, from Count Technologies Ltd of London, is a canvas for SQL, Python and AI analysis run live against the customer's warehouse. 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
Count, from Count Technologies Ltd of London, is a canvas for SQL, Python and AI analysis run live against the customer's warehouse. Self-service and modelling scores sit flat at 7 — governed semantic layer, dbt write-back, GitHub-synced business logic, AI answers marking each claim as a source, assumption or hallucination — while dashboards and visualization sits flat at 4, pivot tables the documented centre and pie charts prohibited by the terms. Governance and portability clusters at 6-7 (detailed role model, documented REST API); sharing and embedding spans 4-6, with embedding named only as an Enterprise inclusion. Sovereignty sits at 4-5: the terms place servers in the EU and the US, EU residency is an Enterprise-only choice with the default region unstated, and the AI chain runs through OpenAI, GCP AI services and Anthropic. Data connectivity spans 4 to 6: low scores turn on the pages naming no CRM, ERP or accounting connector, high ones on ten named databases plus an MCP route. Pricing transparency sits at 5 — Free and Pro ($49 editor / month, viewers free) are concrete; Enterprise is "Let's talk".
Speaks for it
- Self-service and modelling scores sit at 7: SQL and Python share one canvas, a governed semantic layer with admin change approvals comes on Enterprise, and dbt models can be read and pushed back from the canvas
- Business logic syncs with GitHub for version control, and AI answers come with reasoning chains that mark every claim as a source, assumption, model memory or hallucination
- Queries run live on the customer's warehouse — "We don't take a copy of your database or alter your tables" — across ten named databases and warehouses plus Google Sheets, CSV upload and an MCP route
- The permission model is documented in depth: five workspace roles from Owner to Guest, five project roles, row-level security via Identity-Aware Reports, and SSO and SCIM on Enterprise
- A documented REST API with OpenAPI specifications, service accounts and immediate key revocation; Free is $0 with no card required and Pro is $49 editor / month with viewers free and prorated seat changes
Held against it
- Dashboards and visualization scores sit at 4: pivot tables with conditional formatting are the documented centre, pivots cannot be exported in their pivot format, and the terms of use even prohibit pie charts
- Sovereignty scores sit at 4 to 5: the terms state servers are located in the EU and the US, EU residency is an Enterprise-only choice, and the AI chain runs through OpenAI, GCP AI services and Anthropic
- SSO, SCIM, row-level security, embedded analytics, workspace telemetry and EU data residency all sit behind an Enterprise tier priced only as "Let's talk", and AI credit top-ups are unpriced
- We found no public information on audit logs, column-level security, development and production environments, or a self-hosted edition
- The captured pages give different plan names for the API: the pricing page lists the REST API under Enterprise while the API documentation says the API is available on Scale plans and higher
Best for
- You want analyst-grade modelling — SQL and Python in one canvas, a governed semantic layer, dbt with write-back and GitHub version control — more than a broad chart library
- Your data already sits in the ten named databases and warehouses, including Snowflake, BigQuery, PostgreSQL and SQL Server, and you want queries to run live with no copy taken of your database
- You need to reach a wide audience on a budget: viewers are free, guests are never billable, and Pro is $49 editor / month with seats prorated at any time
- You need per-viewer separation through row-level security and can enter an Enterprise conversation to obtain SSO, SCIM and embedded analytics
Avoid if
- You need a broad chart library — maps, KPI tiles against targets, drill-down, mobile display — the captured pages centre on pivot tables and the terms of use even prohibit pie charts
- Your data lives in business applications such as CRM, ERP or accounting tools: the published connector list names databases and warehouses, and anything else goes through the MCP route
- You must pin your total cost in advance: SSO, row-level security, embedding and EU residency sit in an Enterprise tier priced only as "Let's talk", AI credit top-ups are unpriced, and minimum term and VAT treatment are unstated
- You need a stated hosting default for a standard workspace or an EU contracting entity: the terms place servers in the EU and the US, and we found no public information on an EU representative
The scores
| Criterion | Panel median |
|---|---|
| Data sources, connectors & refresh | 3 of 5 |
| Dashboards, charts & interactivity | 2 of 5 |
| Self-service analysis & shared metrics | 3.5 of 5 |
| Sharing, scheduled reports & embedding | 2.5 of 5 |
| Access control, administration & portability | 3.5 of 5 |
| European sovereignty | 2 of 5 |
| Pricing transparency | 2.5 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
The published list names ten databases and warehouses including PostgreSQL, SQL Server, BigQuery and Snowflake, plus CSV upload and Google Sheets, and the compute layer runs big joins on the warehouse rather than copying the database. But the captured pages name no accounting, ERP or CRM application connector, state no refresh schedule or minimum interval, and describe no gateway, tunnel or allow-list for a database behind our firewall; I found no public information on scheduled or incremental refresh. 8 9 3
The Managing Director
A published list of ten databases and warehouses, Google Sheets, CSV upload and a generic MCP route to "anything you can reach via MCP", with queries routed live to my warehouse, is a decent foundation. But none of my business applications (CRM, accounting, help desk, project management) is named as a connector, and refresh intervals and reaching a database behind a firewall are not described on the pages we read. 8 9 3
The Data Analyst
Ten named SQL sources including PostgreSQL, Snowflake, BigQuery and Databricks, plus Google Sheets, CSV upload and anything reachable through MCP, with live queries on the warehouse ("We don't take a copy of your database or alter your tables"), in-canvas DuckDB extracts and per-plan connection counts (1, 3, unlimited). We found no public information on reaching a database behind a firewall, on connectors for ad platforms or other business applications, or on a stated refresh interval — live queries carry that load instead. 8 9 4 3
The IT Administrator
A published list of ten databases and warehouses plus Google Sheets, CSV upload and an MCP route to internal tools, with live querying confirmed by their statement that they don't take a copy of your database, and connection and extract limits stated per plan. We found no public information on scheduled refresh intervals, on a gateway or IP allow-list for a database behind our firewall, or on native ERP or CRM connectors, which is what I would need before pointing it at our SQL Server estate. 8 9 3 4 14
The SaaS Product Lead
Ten named databases and warehouses plus CSV upload, Google Sheets and an MCP client for anything you can reach that way are documented, queries run live on the customer's warehouse ("We don't take a copy of your database or alter your tables"), and connection counts and compute capacity are stated per plan. We found no public information on scheduled or incremental refresh intervals, or on a documented way to reach a database behind a firewall such as an SSH tunnel or gateway. 8 9 3 4
The Skeptic
A published list covers ten databases and warehouses plus CSV upload, Google Sheets and a generic route to anything reachable via MCP, with live queries that take no copy of the database and connection limits stated per plan (one on Free, three on Pro, unlimited on Enterprise). Dataset extract size is part of the stated compute capacity. We found no public information on connectors to named business applications, on reaching a database behind a firewall, or on scheduled refresh and its minimum interval. 3 4 8 9
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
Pivot tables with conditional colour formatting, control cells where one multi-select filter drives several data sources at once, and canvases that become live reports or slides updating with the data are documented. The breadth of the chart library, maps, KPI tiles against targets, mobile display and German number and date formats are not described on the captured pages, so I cannot place this higher than mid-scale. 10 11 14
The Managing Director
Pivot tables with conditional formatting, one filter driving several tables and visuals at once, and any canvas turning into a live report or slides that update automatically are all documented. We found no public information on chart types, maps, KPI tiles with targets, drill-down, mobile display or localised number and date formats — and the terms of use even state that "your Content must not be pie charts". 10 11 14 6
The Data Analyst
Pivot tables are documented in depth — rows, columns, values, conditional colour scales and templates — and control cells can filter several data sources at once with everything downstream responding, which is more than basic filtering; any canvas becomes a live report or slides. But the chart library beyond pivots is barely described: we found no public information on maps, KPI tiles with targets or comparisons, drill-down, cross-filtering by clicking, mobile display, or German number and date formats — and the terms even bar pie charts. 10 11 6 14
The IT Administrator
Pivot tables with conditional formatting and templates, canvas-wide filter controls that drive several data sources at once, and live reports or slides that update automatically with the data, though the terms prohibit pie charts in content. We found no public information on maps, KPI tiles, drill-down, mobile display, theming or localised number and date formats, and the captured documentation itself notes pivots sort and filter less flexibly and cannot be exported in pivot format. 10 11 14 6
The SaaS Product Lead
What is documented centres on pivot tables with conditional formatting and templates, a single control filtering several data tables at once, and any canvas turning into a live report or slide deck that updates automatically; the terms of use even prohibit pie charts as content. We found no public information on the broader chart library, maps, KPI tiles against targets, drill-down, mobile or TV display, theming to a brand, or accessibility of charts. 10 11 14 6
The Skeptic
Pivot tables with conditional formatting and templates, a single control filtering multiple data sources with everything downstream responding, and any canvas turned into a live report or slides that update automatically give readers real interactivity on the evidence shown. We found no public information on the breadth of the chart library, maps, KPI tiles with targets, drill-down, mobile display, localised number and date formats, or accessibility of the result. 10 11 14
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
A governed semantic layer with admin change approvals on the top plan, metric business logic version-controlled by syncing with GitHub, two-way dbt integration, a Python VM, and AI answers where every claim is traced to its source, assumption or inference fit exactly what I need for one shared margin definition. Forecasting or anomaly detection with a stated method and certified datasets are not shown on the captured pages. 4 3 2
The Managing Director
SQL and Python on a collaborative canvas, a semantic layer for shared metrics that syncs to GitHub with dbt read and write-back, text-to-SQL where every claim is traced to its source or marked an assumption — this is analyst-grade work, and the governed semantic layer with admin change approvals comes on the top plan. Forecasting and anomaly detection with the method stated, and certified datasets, are not described. 1 2 3 4
The Data Analyst
SQL and Python cells in a canvas, a semantic layer ("Governed semantic layer & admin change approvals" on the top tier), metrics synced to GitHub ("sync agent context and business logic within Count metrics directly with GitHub"), dbt access with write-back, and text-to-SQL with every AI claim traced to a source, assumption or hallucination. It stays below the top band because we found no public information on a visual query builder for non-analyst colleagues, on calculated fields, or on forecasting and anomaly detection with the method stated. 3 4 11 1
The IT Administrator
A semantic layer for metrics reused across reports, dbt models readable and writable directly from the canvas, business logic synced to GitHub, a Python VM alongside the SQL, and AI answers whose every claim is traced to a source, assumption or hallucination. The governed semantic layer with admin change approvals is an Enterprise inclusion, and we found no public information on forecasting or anomaly detection with a stated method. 12 3 4 2
The SaaS Product Lead
This is where the evidence is strongest for my team: a canvas for SQL and Python, a governed semantic layer with admin change approvals on Enterprise, dbt models accessible with push-back of changes, and Count metrics business logic synced to GitHub for version control. Natural-language questions are backed by reasoning chains with every claim traced to its source, assumption or inference. We found no public information on forecasting or anomaly detection with the method stated, or on certified datasets. 4 3 13 2 1 12
The Skeptic
The evidence shows SQL and Python in the same canvas, a governed semantic layer with admin change approvals on Enterprise, business logic synced with GitHub and dbt with write-back, and AI answers where every claim is marked as a source, assumption, model memory or hallucination with the reasoning chain behind it. We found no public information on forecasting or anomaly detection with the method stated, or on certified or endorsed datasets. 2 3 4 13
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
Alerts go out by email or Slack on a schedule or a trigger, colleagues can be subscribed by name or address, reports export as a clean image or PDF, viewers and never-billed guests can be given canvas access, and row-level security is handled through identity-aware reports. Embedded analytics appears only as a line in the top plan's feature list; I found no public information on Teams delivery, dashboard comments or an embedding licence model. 14 15 16
The Managing Director
Alerts and subscriptions by email or Slack on a schedule or a trigger, subscribers added by name or email address, guests given access without ever being billable, and export of a clean image or PDF cover my Monday-morning inbox need. Embedding is named only as an inclusion of the top plan, and we found no public information on iframe or script embedding, white-labelling or PowerPoint and Excel export. 14 15 16 4
The Data Analyst
Alerts reach email or Slack on a schedule or a trigger, on individual cells or whole frames, with named or external subscribers; canvases export to PDF, image and CSV; guests can be given access to specific canvases without a billable seat; and embedded analytics with row-level security appears on the Enterprise tier. We found no public information on the embedding method itself (iframe or SDK), white-label options, delivery to Microsoft Teams, or PowerPoint and Excel export. 14 15 16 4 10
The IT Administrator
Alerts and subscriptions delivered by email or Slack on a schedule or a trigger, export to a clean image or PDF, CSV from table cells, and guest access to specific canvases for people outside the workspace. Embedding is named only as an Enterprise inclusion, and we found no public information on an embedding SDK, white-label options, client portals or export to Excel and PowerPoint. 14 15 16 4 10
The SaaS Product Lead
Enterprise lists "user groups, row-level security & embedded analytics", with row-level security implemented through Identity-Aware Reports, which is the per-viewer separation I need for 600 fleets; guests can be granted access to specific canvases and are never billable. Scheduled email and Slack alerts and PDF or image export are documented on standard plans. We found no public information on white-label styling, an embedding SDK, or an embedding licence price, since Enterprise is "Let's talk". 4 14 15 16
The Skeptic
Alerts run on schedules or triggers by email or Slack with subscribers added by name or email address, guests get canvas and project access without a licence, reports export as image or PDF with tables exportable as CSV, and row-level security through Identity-Aware Reports plus embedded analytics are named for Enterprise. We found no public information on how embedding is implemented, public or password-protected links, Excel or PowerPoint export, comments and annotations, or white-labelling, and pivot tables cannot be exported in their pivot format. 4 10 14 15 16
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
The permission model is documented down to project level with five workspace and five project roles, row-level security has its own documentation, single sign-on and SCIM sit on the top plan, and there is a documented REST API with service accounts, OpenAPI specifications and rate limits. Definitions sync to GitHub and content is deleted or returned within thirty days of termination, though export support may incur fees; I found no public information on audit logs or separate development and production environments. 16 17 4 6
The Managing Director
A genuinely detailed role model — Owner, Admin, Analyst, Member, Guest, plus project roles, groups and a per-project permission matrix — with a row-level security feature, SSO and SCIM on the top plan, a documented REST API with service accounts, and content deleted or returned within thirty days of termination. We found no public information on audit logs, separate development and production environments, or a self-hosted edition. 16 4 17 6
The Data Analyst
The permission model is unusually thorough — five workspace roles from Owner to Guest, five project roles, groups, analysts barred from database connections by default — with row-level security documented (Identity-Aware Reports), SSO and SCIM on the Enterprise tier, and a REST API with an OpenAPI spec, service accounts, immediate key revocation and rate-limit headers. Termination is handled ("delete or return", with export support possibly at a fee) and metric definitions sync to GitHub; we found no public information on audit logs, column-level security, development and production environments, or a self-hosted edition. 16 14 4 17 6 3
The IT Administrator
A detailed hierarchy of workspace and project roles where analysts cannot see database connections by default, row-level security documented under Identity-Aware Reports, SSO and SCIM on the Enterprise plan, and a REST API with OpenAPI specs for EU and US endpoints, service accounts and immediate key revocation. Single sign-on, row-level security and workspace telemetry all sit behind a contact-sales tier, we found no public information on an audit log, development and production environments or a self-hosted edition I could run on our own servers, and export on termination is by request and may incur fees; the captured pages also give different plan names for API access, with the API documentation naming Scale and the pricing page listing the REST API under Enterprise. 16 4 17 6 3
The SaaS Product Lead
The permissions model is documented in unusual depth, with Owner, Admin, Analyst, Member and Guest workspace roles, per-project roles, groups, and a documented REST API with service accounts, immediate key revocation and OpenAPI specs; Enterprise adds SSO, SCIM, row-level security and workspace telemetry, and GitHub sync keeps metric definitions as code. We found no public information on audit logs, column-level security, development and production environments, or a self-hosted edition; export on termination is handled by contacting the vendor and may incur fees. 16 17 4 3 6
The Skeptic
A detailed model of workspace roles, groups and per-project roles with permission matrices, SSO and SCIM on Enterprise, documented row-level security, a documented REST API with an OpenAPI specification, service accounts and workspace telemetry, plus business logic synced to GitHub and dbt, takes this well past the basics. We found no public information on audit logs, column-level security, development and production environments, or a self-hosted edition; on exit your content is deleted within thirty days or exported with Count's support, which may carry reasonable fees. 3 4 6 16 17
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 contracting entity is a London company, the terms state servers holding content sit in both the EU and the US, choosing EU data residency is a top-plan option, and OpenAI, Google and Anthropic are named as AI providers with Stripe handling payment. A data processing agreement is offered, a sub-processor list exists and standard contractual clauses are cited, which lifts this above the floor. No EU entity or representative appears on the captured pages and the default region for a standard workspace is unstated — for our auditors that is not yet a chain they can verify. 5 6 4
The Managing Director
A London-registered company whose servers are "located in the European Union and the US", with EU versus US residency a choice only on the Enterprise plan, and AI features running through OpenAI, GCP AI services and Anthropic. A data processing agreement is offered, EEA transfer safeguards and SOC2/GDPR/HIPAA claims are stated, but the subprocessor list is referenced rather than enumerated on the pages we read. 5 6 4
The Data Analyst
The contracting entity is Count Technologies Ltd with a registered office in London, and the captured terms state servers "are located in the European Union and the US", with EU data residency an Enterprise-tier choice, an EU API endpoint, a data processing agreement offered and transfer safeguards listed. The AI chain runs through OpenAI, Anthropic and GCP AI services (training on customer data is excluded), payment through Stripe; we found no public information on an EU representative, named hosting infrastructure, or where extracts and caches land by default. 5 6 4 17
The IT Administrator
Count Technologies Ltd is registered in London, servers storing customer content are located in the European Union and the US by default, and choosing EU data residency is an Enterprise-only feature, leaving the default region for a standard workspace unstated. A data processing agreement is offered, a sub-processor list exists, transfer safeguards (SCCs, the EU-US Data Privacy Framework) are listed and SOC2 is claimed, but the AI chain runs through OpenAI, GCP AI services and Anthropic with Stripe on payments, and where extracts and caches land is only implied by compute limits; we found no public information on a self-hosted edition. 5 6 4
The SaaS Product Lead
The vendor is Count Technologies Ltd of London, with servers "located in the European Union and the US", and choosing EU data residency is an Enterprise feature, leaving the default for standard workspaces unstated in what we captured. A data processing agreement is offered, a sub-processor list exists, and transfer safeguards including EU standard contractual clauses and the EU-US Data Privacy Framework are listed, but the AI chain names OpenAI, GCP AI services and Anthropic, and we found no public information on an EU contracting entity or EU representative. 5 6 4 7
The Skeptic
The contracting entity is Count Technologies Ltd of London with servers located in both the EU and the US, and EU data residency is listed as an Enterprise-only feature, so where a standard workspace's content sits by default is not stated on the captured pages. The AI chain runs through OpenAI, GCP AI services and Anthropic with transfer safeguards (standard contractual clauses, the EU-US Data Privacy Framework) listed, a DPA is offered, a subprocessor list is referenced, and SOC2, GDPR and HIPAA compliance is claimed. Hosting infrastructure is not named and we found no public information on a self-hosted edition. 3 4 5 6
Pricing transparency
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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
The free tier is unusually well documented with its canvas, user and connection limits, Pro is $49 editor / month with viewers free and its inclusions listed, and seat changes are prorated at any time. But single sign-on, row-level security and embedding sit in an Enterprise plan priced only as "Let's talk", the cost of topping up AI credits is not stated, and no minimum term or VAT treatment is given; the captured pages also give different plan names, with the pricing page showing Free, Pro and Enterprise while the API documentation refers to a Scale plan. 4 6 17
The Managing Director
Free at "$0" with its limits spelled out, Pro at "$49 editor / month" with "Viewers free" and seats added or removed any time with prorated changes — exactly the cost shape I want for a 40-person team. But SSO, SCIM, HIPAA, EU/US residency, unlimited connections and the API sit behind an Enterprise "Let's talk", VAT treatment is not stated, prepaid fees are not refundable and the subscription renews automatically; the pricing page and the API documentation also give different figures for which plan includes the API. 4 6 17
The Data Analyst
The Free tier ($0, no card, with concrete limits: 3 canvases, 5 users, 1 connection) and Pro ("$49 editor / month", "Viewers free", 3 connections, 4GB compute) are fully public, seats change prorated at any time, and the roles documentation clarifies exactly who is billable. Everything governance-relevant — SSO, SCIM, row-level security, embedding, telemetry, EU residency — sits behind Enterprise "Let's talk", AI credit top-ups are unpriced, and the captured pages give different plan names: the pricing page shows Free, Pro and Enterprise while the API documentation references "Scale plans and higher". 4 16 17
The IT Administrator
Free and Pro tiers are public with their seat price and inclusions ($0 Free with one project and three canvases; $49 editor / month Pro with viewers free), seats can be added or removed any time with proration, and billing is by card in advance on an auto-renewing fixed term with pre-paid fees non-refundable. Everything my approval would hinge on — SSO, SCIM, row-level security, embedded analytics, EU data residency — sits in an unpriced Enterprise "Let's talk" tier, and we found no public information on embedding pricing, the minimum term length, VAT treatment or AI credit top-up prices. 4 6 16 17
The SaaS Product Lead
Free and Pro are unusually concrete: "$49 editor / month" with "Viewers free", the free tier's limits itemised, seats prorated when added or removed, billing in advance with auto-renewal, and card handling via a payment processor all stated. Everything I would need to price an embedded product, including row-level security, the API, embedded analytics and SSO, sits in the Enterprise tier at "Let's talk", and we found no public information on an embedding price, AI-credit top-up prices or VAT treatment. 4 6 17
The Skeptic
Free is $0 with its limits spelled out (1 project, 3 canvases, up to 5 users, 1 database/MCP connection) and Pro is "$49 editor / month" with viewers explicitly free, per-plan connection and compute limits stated, and prorated seat changes. But the Scale plan that the API requires carries no price on the captured pricing page, Enterprise is "Let's talk" holding SSO, row-level security and embedded analytics, AI credit top-ups are unpriced beyond a fair-use note, and minimum term and VAT treatment are unstated. 4 6 17
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 ⚠ unverified | — | uncited Report an error |
| Transfer impact assessment | Not determined | — | uncited Report an error |
Questions about Count
Is Count European?
Yes, though not from the EU. whats-best.ai classifies Count as UK / wider Europe.
Where does Count store data?
The default storage location for customer data is not stated on the vendor’s pages as of 1 Nov 2026. The vendor’s pages mention the EU and the US as hosting locations, per the vendor’s page captured 1 Nov 2026.
Does Count have a free plan?
Yes. Count has a free plan, per the vendor’s page captured 1 Nov 2026.
What are the best alternatives to Count?
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: Count 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 — Data processing agreement, Legal entity, Hosting options. Not confirmed on the vendor’s own pages as captured.
- Weak sourcing — Hosting location. The default is only stated for plugin content of free accounts; the Terms say servers are located in both the European Union and the US, and choosing EU hosting is an Enterprise-only feature on the pricing page, leaving the default for standard Count workspaces unstated.
- 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.
- 63 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
- 11 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
- 5 support 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 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
- 3 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
- 2 legal 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 subprocessors 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
- 3 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 (17)
The pages every claim on this page was read from — each one checked, dated, and kept verifiable.
- 1 Vendor homepage count.co Checked 1 Nov 2026 Details →
- 2 Features page (AI analysis) count.co Checked 1 Nov 2026 Details →
- 3 Integrations page count.co Checked 1 Nov 2026 Details →
- 4 Pricing page count.co Checked 1 Nov 2026 Details →
- 5 Privacy policy count.co Checked 1 Nov 2026 Details →
- 6 Terms of service count.co Checked 1 Nov 2026 Details →
- 7 Security / trust page trust.count.co Checked 1 Nov 2026 Details →
- 8 Data sources, connectors & refresh — found from sitemap learn.count.co Checked 1 Nov 2026 Details →
- 9 Data sources, connectors & refresh — found from sitemap learn.count.co Checked 1 Nov 2026 Details →
- 10 Dashboards, charts & interactivity — found from sitemap learn.count.co Checked 1 Nov 2026 Details →
- 11 Dashboards, charts & interactivity — found from sitemap count.co Checked 1 Nov 2026 Details →
- 12 Self-service analysis & shared metrics — found from sitemap count.co Checked 1 Nov 2026 Details →
- 13 Self-service analysis & shared metrics — found from sitemap count.co Checked 1 Nov 2026 Details →
- 14 Sharing, scheduled reports & embedding — found from sitemap learn.count.co Checked 1 Nov 2026 Details →
- 15 Sharing, scheduled reports & embedding — found from sitemap count.co Checked 1 Nov 2026 Details →
- 16 Access control, administration & portability — found from sitemap learn.count.co Checked 1 Nov 2026 Details →
- 17 Access control, administration & portability — found from sitemap learn.count.co Checked 1 Nov 2026 Details →