Collaborative data notebooks with SQL, charts, and discussion
Visit WebsiteReviews onG2
101 reviews trackedThe Bottom Line
Entry price
Free plan available, paid tiers above
Biggest pro
Data analytics notebook
Biggest con
Newer platform
TL;DR - Count
- Count is a collaborative data notebook that combines SQL, Python, and visualization
- It enables data teams to analyze, visualize, and share insights in one workspace
- Free tier available, Team plans from $20/user/month
Pricing: Free plan available
Best for: Growing teams
4.8/5 across review platforms
What is Count?
Count is a data notebook where teams analyze together. SQL queries, visualizations, and discussion in one place-collaborative analytics that captures the reasoning behind the numbers.
Notebooks tell stories with data. Comments discuss findings in context. The environment is designed for data teams, not just individuals.
Data teams wanting collaborative analysis with documented reasoning use Count for analytics that includes context, not just charts.
Available on: Web
Pros & Cons
Pros
- Data analytics notebook
- Good for SQL
- Active development
- Good features
- Fair pricing
Cons
- Newer platform
- Learning curve
- Feature gaps
- Smaller community
- Still maturing
Ratings Across the Web
4.8(101 reviews)
Ratings aggregated from independent review platforms. Learn more
Key Features
Data notebooksSQL canvasCollaborationVisualizationsSharingTeam features
Pricing Plans
Free TrialFree
Free
Individuals
- Basic analytics
- Limited queries
- Community support
Most Popular
Team
null
Teams
- Unlimited queries
- Collaboration
- Priority support
Enterprise
null
Large orgs
- SSO
- Custom integrations
- Dedicated support
Reviews
4.8/5
Across 101 verified user reviews on G2
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Count FAQ
Is Count free?
Free tier available. Pro from $50/month. Business from $100/month. Data notebook.
What is Count?
Count is a data notebook. SQL, Python, and visualization in one. Collaborative data analysis.
Count vs Jupyter?
Count is cloud-native and collaborative. Jupyter is local and developer-focused. Count for teams.
What databases does Count connect to?
Most popular databases: Postgres, MySQL, BigQuery, Snowflake, and more. Direct database connections.
Source: count.co