About Count
Count is a collaborative analytics platform from Count that helps teams explore data and solve problems together. It provides metric tree building, dashboard creation, and insights sharing so that users can collaborate effectively on data analysis. Count supports team interactions through an AI-driven analytics approach, allowing users to utilize actionable insights and create meaningful visualizations. The platform is designed for fast-moving companies that require real-time data collaboration and accessibility. Key capabilities: metric tree building dashboard creation insights sharing AI-driven analytics team collaboration Best for: data teams that need collaborative data exploration and actionable insights.
Count is a powerful data analysis tool designed to help businesses and professionals make sense of their data. Its primary purpose is to analyze, manipulate, and visualize large datasets to extract valuable insights. One standout feature of Count is its intuitive user interface, which makes it easy for users to navigate through complex data sets and perform various data analysis tasks efficiently. The interface is clean, well-organized, and user-friendly, providing a seamless experience for both beginners and experienced data analysts. One of the core functionalities that sets Count apart from its competitors is its advanced data manipulation capabilities. Users can perform a wide range of operations, such as filtering, sorting, grouping, and aggregating data, with ease. The software also supports a variety of data formats, allowing users to import and export data from different sources seamlessly. This flexibility and versatility make it a valuable tool for businesses dealing with diverse datasets. In terms of performance, Count delivers impressive speed, efficiency, and reliability, even when handling large datasets or complex operations.
Pros & Cons
- +Highly Collaborative — Combines live analytics with real-time commenting, sticky notes, and narrative.
- +Powerful Yet Accessible — Allows technical (SQL/Python) and non-technical users to work side-by-side.
- +Semantic Metric Layer — Provides consistent, governed reporting across teams.
- +Modern BI Architecture — Integrates directly with cloud data warehouses; fast, flexible, and scalable.
- +Security & Compliance — SOC2-compliant with roadmap toward HIPAA and GDPR support.
- −Learning Curve for New Users — Canvas approach is flexible but can overwhelm users used to dashboards.
- −Enterprise Features Behind Paywall — SSO, governance tools, and embedding are not in lower-tier plans.
- −No API or SDK — Lacks developer-focused extensibility for deeper system integrations.
- −Pricing Based on Editor Seats — Could become expensive for larger teams with many data contributors.
- −Limited Offline Support — Primarily built as a cloud-first platform, so offline functionality is minimal.
Features
Key features
- Canvas-Based Interface
- Visual workspace combining data, text, visuals, sticky notes, and code blocks.
- SQL + Python + Visual Cells
- Analyze data using SQL, Python, and low-code/visual tools inside a single canvas.
- Metric Trees & Flowcharts
- Define and visualize complex metrics with tree structures for KPI breakdowns.
- Semantic Metric Layer
- Centrally define business metrics for consistent reporting and governance.
- Self-Service Analytics
- Drag, drop, filter, calculate, and explore without relying on engineers.
Additional features
- AI Copilot
- Built-in assistant that helps generate insights, write SQL, and explore data quickly.
- Scheduling & Alerts
- Automate data refreshes and receive alerts via email or Slack.
- Real-Time Collaboration
- Add comments, sticky notes, and collaborate directly on the data canvas.
- SOC2-Compliant Security
- Enterprise-level security and data governance with compliance.
Pricing
Monthly plans
Pro
USD 59
Team
USD 79
Pro
USD 99
Countries & Languages
Interface languages
Billing currencies
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About Count
Count is a collaborative analytics platform from Count that helps teams explore data and solve problems together. It provides metric tree building, dashboard creation, and insights sharing so that users can collaborate effectively on data analysis. Count supports team interactions through an AI-driven analytics approach, allowing users to utilize actionable insights and create meaningful visualizations. The platform is designed for fast-moving companies that require real-time data collaboration and accessibility. Key capabilities: metric tree building dashboard creation insights sharing AI-driven analytics team collaboration Best for: data teams that need collaborative data exploration and actionable insights.
Count Details
Count's In-App Market Place
Does Count have an in-app market place?
Yes
How many Mini-Apps in the marketplace?
0
Mini Apps
Pricing Options
Plans
Monthly plans
Pro
USD 59
Team
USD 79
Pro
USD 99
Accepted Payment Currencies
USD ($), EUR (€), GBP (£), JPY (¥), AUD (A$), CAD (C$)
Pros & Cons
- Highly Collaborative — Combines live analytics with real-time commenting, sticky notes, and narrative.
- Powerful Yet Accessible — Allows technical (SQL/Python) and non-technical users to work side-by-side.
- Semantic Metric Layer — Provides consistent, governed reporting across teams.
- Modern BI Architecture — Integrates directly with cloud data warehouses; fast, flexible, and scalable.
- Security & Compliance — SOC2-compliant with roadmap toward HIPAA and GDPR support.
- Learning Curve for New Users — Canvas approach is flexible but can overwhelm users used to dashboards.
- Enterprise Features Behind Paywall — SSO, governance tools, and embedding are not in lower-tier plans.
- No API or SDK — Lacks developer-focused extensibility for deeper system integrations.
- Pricing Based on Editor Seats — Could become expensive for larger teams with many data contributors.
- Limited Offline Support — Primarily built as a cloud-first platform, so offline functionality is minimal.
Count's Support Options
Community Forums
https://count.co/more-than-numbersCount's Alternatives
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