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A collaborative, canvas-based data analytics platform.
Count is a collaborative data analytics platform built around an infinite canvas rather than a traditional dashboard. Data teams, analysts, and stakeholders work together on a visual whiteboard where SQL queries, no-code cells, charts, and notes live side by side — making it well suited to exploratory analysis and sharing the reasoning behind a result, not just the final chart.
It connects to your existing data warehouse and infrastructure, layers in AI-assisted querying ("ask Count anything"), and includes a template gallery to get started quickly. Because viewer seats are included in every tier, Count is often used to bring non-technical stakeholders into the analysis instead of exporting static reports. It suits data teams, product and growth teams, and leaders who want a shared, explorable workspace over static BI dashboards.
Pricing Model
Freemium, per editor seat
Starting Price
$0/mo
Free Options
Free version, Free trial
Get started on the canvas with core features and free viewer seats.
Paid editor seats with the full toolset; viewers stay free. Contact for per-seat pricing.
Custom plan with governance, security, and support for larger data teams.
| Feature | Free | Pro Popular | Enterprise |
|---|---|---|---|
| Collaborative canvas | — | — | |
| SQL & no-code cells | — | — | |
| Free viewer seats | — | — | |
| Template gallery | — | — | |
| Paid editor seats | — | — | |
| Full canvas & modeling tools | — | — | |
| AI-assisted querying | — | — | |
| Unlimited viewers | — | — | |
| Advanced security & SSO | — | — | |
| Governance controls | — | — | |
| Priority support | — | — | |
| Custom contract | — | — |
Other
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API Types
SDK Availability
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Developer Features
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Compliance Standards
SOC 2 Type II
EnterpriseISO 27001
EnterpriseGDPR Compliant
GlobalHIPAA
HealthcarePCI DSS
FinanceCCPA
PrivacyFedRAMP
GovernmentCSA STAR
CloudDeployment & Data
Data Residency Options
Verify with vendor for your specific region requirements.
Open-source business intelligence anyone on your team can use.
Collaborative analytics with SQL, Python, and R.
Quick comparisons
