Founded

2013

Starting Price

0

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 â€” 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

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

Pricing

Studio

0/month

Individual analyst access
SQL editor and notebooks
Basic visualizations
Community support

Pro

Custom

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

Tags:business-intelligence data-analytics sql-editor python-notebooks data-visualization

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Featured In

#7

Best Looker Studio & Data Dashboard Alternatives in 2026

Mode Analytics is the best Looker Studio alternative for data analyst teams that need a single environment for SQL exploration, statistical analysis, and stakeholder-ready reporting. Less suited for non-technical self-service use cases.

#5

7 Best Tableau Alternatives for Teams Without a BI Analyst (2026)

Best for growing teams — lets non-technical users self-serve today while providing SQL and Python capabilities for future hires.

Mode Analytics