Mode Analytics
Modern Business Intelligence for collaborative data teams
About Mode Analytics
Mode Analytics is a collaborative BI platform that combines SQL, Python, and R notebooks with visual analytics in a single environment. It enables data teams to perform ad hoc analysis, build interactive dashboards, and share insights across organizations — bridging the gap between technical analysts and business stakeholders.
Pros & Cons
Pros
- Seamless integration of SQL, Python, and R in one platform enables powerful end-to-end analysis
- Easy to go from interactive ad hoc analysis to polished, shareable reports
- White label embedding for branded analytics inside products
- Strong collaboration features including Slack integration
- Free Studio tier for individual analysts
- Excellent live support
Cons
- Steep learning curve for non-technical users
- Custom pricing lacks transparency
- Some advanced visualization types missing vs competitors
- Limited scalability for enterprise-level massive datasets
- Acquired by ThoughtSpot in 2023, creating roadmap uncertainty
Key Features
SQL Editor
Full-featured SQL editor for querying connected data warehouses with autocomplete, syntax highlighting, and query history
Python & R Notebooks
Integrated notebooks that pass SQL query results directly into Python or R for advanced modeling, forecasting, and statistical analysis
Visual Explorer
Code-free drag-and-drop interface for building charts and visualizations without writing queries
Interactive Dashboards
Build and share interactive dashboards that combine SQL, notebook outputs, and visual charts in a single report
Collaboration & Sharing
Share reports via links, push analytics to Slack, schedule email distributions, and enable team-wide discovery
White Label Embedding
Embed Mode dashboards and reports into external applications with customizable branding and styling
Data Source Integrations
Connect to major data warehouses including Snowflake, BigQuery, Redshift, PostgreSQL, and SQL Server
Scheduling & Alerts
Schedule reports to run automatically and set up alerts when key metrics change
Pricing
- Individual analyst access
- SQL editor and notebooks
- Basic visualizations
- Community support
- 250 GB/month data usage
- Scheduling and automation
- Permissions and access controls
- Email and Slack sharing
- API access
- Unlimited data usage
- White label embedding
- Advanced security and SSO
- Custom data governance
- Dedicated support
Best For
Ad Hoc Data Exploration
Data analysts quickly investigate business questions and uncover trends using SQL editor and notebooks
Self-Serve Business Reporting
Teams build interactive dashboards that business stakeholders can update and filter independently
Advanced Predictive Analytics
Data scientists leverage Python and R notebooks for forecasting, statistical tests, and machine learning
Embedded Customer-Facing Analytics
SaaS companies embed branded dashboards into their products using white label capabilities
Collaborative Data Team Workflows
Cross-functional teams share analyses via Slack and email, building on each other's queries
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Featured In
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Best for mid-market CEOs with an SQL-capable team who want beautiful, collaborative executive reporting.
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