Mode

Unify data analysis and visualization with SQL, R, Python, and interactive dashboards to accelerate insights and collaboration across teams.
Data Analytics Business Intelligence Collaborative Analytics

Mode is a collaborative data platform that integrates SQL, R, Python and visual analytics so data teams can connect, analyze and share data in the most efficient way possible. It's a central place where data teams and business teams come together to drive business outcomes.

Mode has a number of key features:

  • Ad Hoc Analysis: Perform rapid, iterative analysis with SQL to get results fast.
  • Advanced Analytics: Perform analysis and modeling with data alongside charts and dashboards.
  • Interactive Dashboards: Share insights with drag-and-drop visual analytics tools.
  • Self-Service Reporting: Create modern reports with governed datasets and metrics.
  • Custom Data Apps: Build custom internal tools for data and business teams.
  • Explorable, Reusable Datasets: Leverage datasets data teams have curated for easy exploration.

All of these features let people do complex ad hoc analysis and simple self-service reporting in one place. Mode helps data teams by bringing together SQL, R, Python and data visualization tools to get insights faster. Its flexibility also means it's good for business teams, who can easily understand and work with data without needing to know a lot of technical details.

Mode has three pricing tiers:

  • Studio: Good for individual analysts, it includes SQL, Python and R support, private database connections, and up to 3 users. It's free.
  • Pro: Good for data-driven teams, it adds features like schedules, permissioning, email and Slack sharing, API access and standard support. Pricing is only available after a demo that must be scheduled.
  • Enterprise: Good for large enterprises, it includes features like custom data compute, advanced identity management and premium support. Pricing also requires a demo.

Mode's goal is to bring data teams and business teams together around analytical work so data becomes more accessible and actionable across an organization.

Published on June 29, 2024

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