# Count — Business Intelligence & Dashboards

Count by Count Technologies Ltd holds a panel rating of 2.5/5 from 6 AI judges (category median 3/5), as of 2026-11-01. Provenance: UK / wider Europe; sovereignty: not determined.

- Vendor: Count Technologies Ltd (https://count.co)
- Category: [Business Intelligence & Dashboards](https://whats-best.ai/software/business-intelligence.md)
- Provenance (editorial classification): UK / wider Europe
- Canonical page: https://whats-best.ai/software/business-intelligence/count
- Alternatives: https://whats-best.ai/software/business-intelligence/count/alternatives ([markdown](https://whats-best.ai/software/business-intelligence/count/alternatives.md))
- Data as of: 2026-11-06 · evaluated 2026-11-01 · oldest source captured 2026-11-01

**AI-generated.** Every score, rationale and verdict here is written by a panel of AI judges from public evidence — an analysis, not a hands-on test. Every fact quotes the vendor page it was read from. No score can be bought. How scores are made: https://whats-best.ai/methodology

## 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 [S6]
- Free plan: Yes, per the vendor’s own page [S3]

## 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

## Scores by judge and criterion

Scores out of 5, each judge scoring independently against the published rubric (v1). "n/r" = not rated: the vendor publishes no price, or the judge found no public information on that criterion.

| Criterion | The Finance Controller | The Managing Director | The Data Analyst | The IT Administrator | The SaaS Product Lead | The Skeptic |
| --- | --- | --- | --- | --- | --- | --- |
| Data sources, connectors & refresh | 2.5/5 | 2/5 | 3/5 | 3/5 | 3/5 | 2.5/5 |
| Dashboards, charts & interactivity | 2/5 | 2/5 | 2/5 | 2/5 | 2/5 | 2/5 |
| Self-service analysis & shared metrics | 3.5/5 | 3.5/5 | 3.5/5 | 3.5/5 | 3.5/5 | 3.5/5 |
| Sharing, scheduled reports & embedding | 3/5 | 2.5/5 | 2.5/5 | 2.5/5 | 3/5 | 2/5 |
| Access control, administration & portability | 3.5/5 | 3/5 | 3.5/5 | 3/5 | 3.5/5 | 3/5 |
| European sovereignty | 2/5 | 2.5/5 | 2/5 | 2/5 | 2/5 | 2/5 |
| Pricing transparency | 2.5/5 | 2.5/5 | 2.5/5 | 2.5/5 | 2.5/5 | 2.5/5 |
| **Weighted verdict** | **2.5/5** | **2.5/5** | **3/5** | **2.5/5** | **3/5** | **2.5/5** |

### The judges

- **The Finance Controller** (v1.0): Head of controlling at a 250-person machine builder in Baden-Württemberg. Closes the month from DATEV, the ERP, the CRM and a dozen Excel files that colleagues still mail around, and spends two days a month copying numbers into the management report. Wants the sources connected and refreshed on a schedule, one definition of contribution margin on every page, a report that prints cleanly for the advisory board, and data that stays where the auditors expect it.
- **The Managing Director** (v1.0): Runs a 40-person service company with HubSpot, an online accounting tool, a help desk and a project management app, and no one whose job is data. Wants revenue, pipeline, utilisation and open tickets on one screen in the office and on their phone, set up in an afternoon from ready-made connectors, a weekly summary in the inbox on Monday morning, and a price that does not double when the whole team wants to look.
- **The Data Analyst** (v1.0): 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.
- **The IT Administrator** (v1.0): IT lead at a mid-sized healthcare supplier whose reports touch customer, pricing and employee data. Is asked to approve a BI tool after a department has already started a trial. Reads where extracts and caches are stored, whether the tool reaches the ERP database through a gateway or wants it opened to the internet, whether sales sees only its own region, and whether single sign-on and an audit log come with the plan or behind a sales call. Prefers an edition they can run themselves.
- **The SaaS Product Lead** (v1.0): Product lead at a Vienna software company selling fleet management to 600 business customers, each of whom asks for reports the team keeps building by hand. Wants dashboards embedded in the product under its own brand, every customer seeing only their own rows, customers building their own views without a ticket, and an embedding licence whose cost they can put into the product's price before signing.
- **The Skeptic** (v1.0): Has seen "connect any data source" on a tool with eight connectors and a CSV upload, "self-service" that ends with every department defining revenue its own way, "free viewers" that need a paid licence to open a shared link, and "AI insights" that never show the query. Asks where the extracts are stored, whether dashboards and definitions can be exported in a format another tool reads — and what leaving would cost.

## European sovereignty — proven facts

Built only from facts on the vendor's own pages; a dimension we could not prove is left open, never scored as zero. Headline: not determined.

| Dimension | Finding | Points | Source |
|---|---|---|---|
| Legal entity | Not determined | — | — |
| Hosting location | Not determined | — | — |
| Hosting options | Not determined | — | — |
| Open source | Not determined | — | — |
| Data processing agreement | Not determined | — | — |
| Transfer impact assessment | Not determined | — | — |

## Key facts

Each fact is the vendor's own statement, cited to the source page it was read from ([S*n*] → Sources).

**Compliance**
- Audit rights: yes · yes [S6]
- Certifications faq: SOC2 · GDPR · HIPAA · yes [S4]
- Cookies: 12 [S5]
- DPA: data processor · yes [S6]
- Eea transfers: yes [S6]
- Encrypted traffic: yes [S8]
- EU AI act: provider · yes [S6]
- EU AI act labelling: yes [S6]
- GDPR article32: yes [S6]
- Google analytics: yes · yes [S5]
- HIPAA baa: yes · yes [S6]
- HIPAA restriction: no [S6]
- Ico registration: data controller · ZA782595 · yes [S6]
- Trust center: Trust Center available [S11]

**Data**
- Backup: no [S6]
- Backup retention: 30 [S5]
- Confidentiality: no [S6]
- Deletion on account closure: 30 [S6]
- Deletion on termination export: yes · yes [S6]
- Deletion promised: 30 [S6]
- Export support: contact us · yes [S6]
- Free plugin content secondary use: improve Count · train session-analysis models · license de-identified/aggregated datasets · consent via turning on reasoning [S5]
- Free plugin deletion: 30 [S5]
- Retention account: 30 [S5]
- Retention communication: 12 [S5]
- Retention service transaction: 7 [S5]

**Hosting**
- Free plugin region: EU region for EU accounts, otherwise US; US if not signed in [S5]
- Regions: EU · US [S6]
- Server locations: EU · US [S5]
- Transfer safeguards: UK adequacy · IDTA / IDTA Addendum to EU SCCs · UK-US data bridge · EU SCCs · EU-US Data Privacy Framework [S5]

**Integrations**
- AI third party providers: >OpenAI · GCP AI services · Anthropic [S6]
- API: yes [S3]
- API auth: bearer token in Authorization header [S17]
- API key revocation: no · yes [S17]
- API key visibility: yes [S17]
- API plan requirement: Scale [S17]
- API reference: yes [S17]
- API type: REST · JSON · JSON [S17]
- Bigquery mcp: BigQuery MCP guide listed [S11]
- Dbt writeback: yes [S3]
- Docs available: yes [S6]
- Github sync: yes [S3]
- Mcp client: yes [S3]
- Mcp guides: Snowflake · BigQuery [S13]
- Openapi spec urls: https://api.eu.count.co/v1/openapi.json · https://api.app.count.co/v1/openapi.json [S17]
- Rate limiting: RateLimit-Limit · RateLimit-Remaining · RateLimit-Reset · Retry-After · yes [S17]
- Service account permissions: same as workspace members [S17]
- Service accounts: API tab of workspace settings · yes [S17]
- Slack agent: yes [S3]
- Snowflake mcp: Snowflake MCP guide listed [S11]
- Supported databases: Amazon Athena · Azure Synapse · BigQuery · ClickHouse · Databricks · MySQL · PostgreSQL · Redshift · Snowflake · SQL Server [S8]
- Text to sql: Text-to-SQL guide listed [S11]

**Legal**
- Company: Count Technologies Ltd [S3]
- Copyright: 2026 · Count Technologies Ltd [S4]
- Copyright entity: Count Technologies Ltd [S13]
- Copyright entity: Count Technologies Ltd [S15]
- Copyright holder: 2026 · Count Technologies Ltd [S2]
- Entity: Count Technologies Ltd · England & Wales · 10061321 [S5]
- Entity: Count Technologies Ltd [S11]
- Entity: Count Technologies Ltd · England & Wales · Office 1 Brunswick House, Brunswick Way, Liverpool, Merseyside, England, L3 4BN · 10061321 [S6]
- Registered office: 131 Finsbury Pavement, London, Greater London, England, EC2A 1NT [S5]
- Trust center: yes [S15]

**Pricing**
- AI credits fair use: 98% of teams never need to top up their AI credits [S4]
- Card processing: payment processing service providers · no [S6]
- Enterprise custom: Enterprise · contact sales [S4]
- Free price: 0 · Free · no [S4]
- Free tier: yes [S3]
- Liability cap: fees in preceding 12 months [S6]
- Mid month scaling: yes · yes [S4]
- Model: fixed-term subscription · team size · additional features such as additional storage [S6]
- Payment in advance: in advance [S6]
- Payment methods: all major debit and credit cards · yes [S4]
- Pro price: Pro · editor / month · 49 · yes [S4]
- Pro viewers free: yes [S4]
- Refunds: no [S6]
- Renewal: yes · yes [S6]

**Product**
- Admin abilities: Admins manage database connections and build/manage projects [S16]
- Admin restrictions: no · no · no [S16]
- AI guides: Snowflake MCP · BigQuery MCP · Text-to-SQL · AI for FP&A [S13]
- AI guides sections: Model comparisons · Claude features · Prompting for reliable answers · AI accuracy · AI for your role · AI for data and analytics [S2]
- AI input sources: >database/code query results · CSV files · canvas text, images, table/query metadata · natural language chat messages [S6]
- AI limitation cap: 100 [S6]
- AI may discontinue: yes · no [S6]
- AI no training: no [S6]
- AI optional: yes · yes [S6]
- AI purpose: turn your data into collaborative canvases, answer queries and provide insights [S6]
- AI tagline: Don’t trust AI. Check it. [S13]
- Alerts channels: email · Slack [S15]
- Alerts schedule: Alerts can be configured on a schedule (e.g. monthly email) [S15]
- Alerts scope: Alerts can be set on individual cells or entire frames [S15]
- Alerts subscribers: Alert subscribers can be colleagues by name or email address [S15]
- Alerts subscriptions: Alerts and subscriptions notify people automatically when metrics change [S14]
- Alerts trigger use cases: Trigger examples: important query errors or duplicates in data [S15]
- Alerts triggers: yes [S15]
- Analyst abilities: yes · yes [S16]
- Analyst editor project abilities: Analysts/Editors create, view, edit, delete and restore canvases, view version history; only analysts edit cells and visuals [S16]
- Analyst restrictions: no · no · no · no [S16]
- Authentication: >email one-time code · third-party account e.g. Google [S6]
- Automatic references: Automatic references feature connects additional tables to the same filter [S11]
- Cells dbt video: 2025-05-30 · cells-dbt · cells-dbt [S13]
- Compute routing: big joins run on warehouse; other queries on Count's servers or in-browser [S3]
- Conflicting roles rule: most_permissive_wins [S16]
- Connection creation permissions: workspace owners · admins [S8]
- Connection deletion: Deleting a connection removes it from referencing projects; dependent cells return errors until switched to a different connection. [S8]
- Connection settings: custom color per connection · use DuckDB by default for visuals · allow agents to run cells automatically · agent context [S8]
- Content no pie charts: yes [S6]
- Control cell multi select: Control cells support Multi Select controls with a name [S11]
- Controller processor split: processor · no [S5]
- Cookie login requirement: yes [S5]
- Count for claude claims labeling: Count for Claude marks every claim as a source, assumption, model memory, or hallucination, with the reasoning chain behind it [S2]
- Count for claude purpose: Count for Claude lets you check whether Claude's answer is right before sharing it [S2]
- CSV upload: yes [S9]
- Demo booking: yes [S13]
- Demo booking available: yes [S2]
- Description: AI-powered platform for analytics and research [S1]
- Description: data collaboration tool that helps users explore data and share it with others [S6]
- Desktop download available: Mac · yes [S2]
- Downstream filtering: A single control filters multiple data sources, with everything downstream responding to it [S11]
- Enterprise includes: yes · yes · yes · yes · 32 · EU · US · yes · yes · yes · yes · yes [S4]
- Free includes: daily credit limit (limited models) · community · 3 · 1 · 5 · 2 · 1 [S4]
- Free tier signup: Free start option advertised [S11]
- Google sheets: yes [S9]
- Groups feature: Groups and Workspace Settings are sibling documentation sections in Managing Your Workspace [S16]
- Guest definition: no · yes · yes [S16]
- Guest restrictions: no · no · no [S16]
- Guides sources and check dates: Every AI guide lists its sources and the date its facts were last checked [S2]
- Hallucination tracing: yes [S4]
- Import from tools: yes [S9]
- Live reports: Any canvas can become a live report or slides that update automatically as underlying data changes [S14]
- Mcp connections: yes [S9]
- Member abilities: no · no · yes [S16]
- Members tab: All workspace members viewable in Members tab in workspace settings [S16]
- Metric data scope: no [S5]
- Metric monitoring: yes [S6]
- Min age: 18 · yes [S6]
- No data copy: no [S8]
- No general model training: no [S5]
- No scraping: no [S6]
- No third party advertising share: no [S5]
- Owner abilities: Owners have full control, automatic access to every connection and project, admin privileges in each [S16]
- Owner restrictions: yes · yes [S16]
- Pivot table color scale: yes [S10]
- Pivot table mapping options: Rows · Cols · Values · Color [S10]
- Pivot table summary: Pivot tables summarise data into a grid with dimensions as rows/columns and aggregated measures [S10]
- Pivot table templates: basic pivot table · pivot table with color [S10]
- Pivot visual limitations: yes · yes [S10]
- Pro includes: email · slack · teams · unlimited (fair use) · 4 · yes · 3 [S4]
- Project admin abilities: Project admins manage membership/roles, connections, project settings, and can delete the project [S16]
- Project admin requirement: workspace Owner or Admin role [S16]
- Project role permissions: yes · yes · no · yes · no · yes · yes · yes · no · yes · no [S16]
- Project roles: Admin · Analyst · Editor · Viewer · Report viewer [S16]
- Query load protection: yes [S8]
- Rating: 5 · 4.8 [S11]
- Rating: 5 · 4.8 [S13]
- Rating: 4.8/5 [S15]
- Reasoning chains: every fact comes with explanation of sources, assumptions or inferences [S1]

**Subprocessors**
- Authorisation: yes [S6]
- List available: yes [S6]
- No training on customer content: yes [S5]
- Payment provider: Stripe · payment processing / card details [S5]

**Support**
- Channels: >instant messaging service · yes [S6]
- Demo booking: Demo booking available [S11]
- Docs and resources: Docs · Blog · Webinars · SQL tutorials [S2]
- G2 rating: 4.8 · 102 [S1]
- Trial: start free option available [S1]
- Trust center: yes [S3]
- Trust center available: yes [S2]

18 more facts on the canonical page: https://whats-best.ai/software/business-intelligence/count

## Questions

### 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](https://whats-best.ai/evidence/13878).

### Does Count have a free plan?

Yes. Count has a free plan, per [the vendor’s page captured 1 Nov 2026](https://whats-best.ai/evidence/13860).

### What are the best alternatives to Count?

As of 1 Nov 2026, the panel rates [Metabase (3.5/5)](https://whats-best.ai/software/business-intelligence/metabase), [Preset (Apache Superset) (3.5/5)](https://whats-best.ai/software/business-intelligence/preset) and [Holistics (3/5)](https://whats-best.ai/software/business-intelligence/holistics) 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](https://whats-best.ai/software/business-intelligence/luzmo) (EU-Made). Ratings are the AI panel’s opinion, formed from public evidence: [how scores are made](https://whats-best.ai/methodology#ordering). The full list, with European products first: [Count alternatives](https://whats-best.ai/software/business-intelligence/count/alternatives).

## What this page leaves out

- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 3 sovereignty dimensions could not be confirmed on the vendor’s own pages and are shown as unknown.
- 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.

## Sources

- [S1] Vendor homepage: https://count.co/ (checked 2026-11-01)
- [S2] Features page (AI analysis): https://count.co/ai (checked 2026-11-01)
- [S3] Integrations page: https://count.co/integrations (checked 2026-11-01)
- [S4] Pricing page: https://count.co/pricing (checked 2026-11-01)
- [S5] Privacy policy: https://count.co/legal/privacy-policy (checked 2026-11-01)
- [S6] Terms of service: https://count.co/legal/terms-of-use (checked 2026-11-01)
- [S7] Security / trust page: https://trust.count.co/ (checked 2026-11-01)
- [S8] Data sources, connectors & refresh — found from sitemap: https://learn.count.co/data-sources/database-connection-overview (checked 2026-11-01)
- [S9] Data sources, connectors & refresh — found from sitemap: https://learn.count.co/data-sources (checked 2026-11-01)
- [S10] Dashboards, charts & interactivity — found from sitemap: https://learn.count.co/analytics-engine/cells-overview/visual-and-low-code-cells/templated-visuals/pivot-table (checked 2026-11-01)
- [S11] Dashboards, charts & interactivity — found from sitemap: https://count.co/video/filtering-multiple-data-tables-with-a-single-control (checked 2026-11-01)
- [S12] Self-service analysis & shared metrics — found from sitemap: https://count.co/video/20-03-25-intro-to-count-metrics-how-to-use-a-semantic-layer-to-drive-incredible-business-value (checked 2026-11-01)
- [S13] Self-service analysis & shared metrics — found from sitemap: https://count.co/video/cells-dbt (checked 2026-11-01)
- [S14] Sharing, scheduled reports & embedding — found from sitemap: https://learn.count.co/working-in-the-canvas/reports-and-alerts (checked 2026-11-01)
- [S15] Sharing, scheduled reports & embedding — found from sitemap: https://count.co/video/13-alerts-getting-started-in-count (checked 2026-11-01)
- [S16] Access control, administration & portability — found from sitemap: https://learn.count.co/governance-and-administration/roles-and-permissions (checked 2026-11-01)
- [S17] Access control, administration & portability — found from sitemap: https://learn.count.co/integrating-count/public-api (checked 2026-11-01)

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Cite as: whats-best.ai, "Count — Business Intelligence & Dashboards", AI panel analysis, as of 2026-11-06. https://whats-best.ai/software/business-intelligence/count

Corrections: https://whats-best.ai/correct/1256?target=page