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Decision comparison

Metabase vs Redash

Metabase and Redash are both strong open-source BI tools, but they serve different audiences. Metabase delivers a polished, enterprise-ready platform with a no-code query builder, embedded analytics, advanced permissions, and a growing AI layer. Redash remains a focused, SQL-first tool that excels at connecting to diverse data sources and letting technical teams query and visualize data with minimal overhead. Your choice depends on whether you need self-service BI for mixed-skill teams or a lean query tool for SQL-fluent analysts.

BI platforms
Last Updated:
Community maintainedStatus confirmed

Redash is maintained by volunteers, not by its owner

Databricks acquired Redash in June 2020 and shut the hosted Redash Cloud service down on 30 November 2021. Databricks-funded development on the open-source project wound down afterwards, and since late 2023 it has been maintained by a small group of volunteers. It still ships: v26.3.0 was released on 2 March 2026, at roughly one release a year. Redash remains free, Apache-2.0 and self-hostable; what changed is who decides its direction and how fast it follows the databases it connects to.

Source

Direct comparison. These are reviewed substitutes bought for the same job, so the differences below are the ones that decide between them.

All 2 are BI platforms.

Quick Comparison

Metabase

Best For:
Teams needing self-service BI with embedded analytics
Pricing:
Community Edition is free, open-source and self-hosted, with unlimited users. Paid Metabase Cloud plans start with Starter at $100/month, or $90/month billed annually, including the first 5 users, then $6 per user/month. Pro is $575/month, or $517.50/month annually, including the first 10 users, then $12 per user/month. Enterprise is custom pricing starting at $20,000/year. Both paid plans offer a 14 days free trial.
Ease of Use:
No-code query builder plus SQL editor for power users
Data Source Support:
20+ native database connectors including PostgreSQL, MySQL, Redshift, BigQuery
Community Size:
48,000+ GitHub stars, 66 user reviews (8.4/10 rating)
Deployment Options:
Self-hosted (Docker, JAR) or Metabase Cloud

Redash

Best For:
SQL-proficient teams needing a lightweight query and visualization tool
Pricing:
Self-hosted free (BSD-2-Clause license)
Ease of Use:
SQL-first interface with browser-based query editor
Data Source Support:
Broad SQL, NoSQL, Big Data, and API data source support including PostgreSQL, MySQL, BigQuery, Redshift, Snowflake, Athena
Community Size:
28,000+ GitHub stars, 17 user reviews (8.1/10 rating)
Deployment Options:
Self-hosted via Docker

Public signals

Verified factual signals only. Bars appear only for like-for-like metrics with five weekly assessments for every tool; missing evidence stays explicit. These signals do not establish enterprise adoption, product quality, or total cost.

MetricMetabaseRedash
Docker Hub pulls(Product adoption)
272.7M
100.1M
GitHub commits, 90d(Product adoption)
2.0k
14
GitHub stars(Product adoption)
49,000+
28,000+
Search interest(Market interest)Not available0
Hacker News mentions, 90d(Community interest)
12
2
npm weekly downloads(Developer adoption)36.8kNot available
Product Hunt comments(Community interest)
30
1
Product Hunt rating(Community interest)4.9/5Unavailable
Product Hunt reviews(Community interest)
24
0
Product Hunt votes(Community interest)
310
9
Stack Overflow questions(Community interest)
374
133
PyPI weekly downloads(Developer adoption)Not available6.9k

As of September 21, 2026 — updated weekly.

Health & risk evidence

Observed public-source checks for mapped package versions and repositories.

Metabase

September 21, 2026

Package vulnerabilities

npm · @metabase/embedding-sdk-react@0.63.1

0 vulnerabilities

across 1 package

Repository security score

github.com/metabase/metabase

7.1/10

Redash

September 21, 2026

Package vulnerabilities

PyPI · redash-toolbelt@0.1.9

0 vulnerabilities

across 1 package

Repository security score

github.com/getredash/redash

6.1/10

Interface Preview

Metabase

Metabase product interface

Redash

Redash product interface

Feature Comparison

Query & Data Exploration

Visual Query Builder (No-Code)

MetabaseFull no-code query builder with drag-and-drop
RedashNot available; SQL-only query interface

SQL Editor

MetabaseBuilt-in SQL editor with variable support
RedashPowerful SQL editor with auto-complete and snippets

Query Result Caching

MetabaseGranular result and model caching built-in
RedashResults cached with configurable auto-refresh schedules

Visualization & Dashboards

Dashboard Creation

MetabaseInteractive dashboards with drill-through and cross-filtering
RedashDrag-and-drop dashboard builder with resize support

Visualization Types

MetabaseCharts, maps, pivot tables, funnels, and automatic x-ray reports
RedashCharts, cohort, pivot table, boxplot, map, counter, sankey, sunburst, word cloud, funnel

Scheduled Reports & Alerts

MetabaseEmail and Slack alerts with scheduled delivery and custom filters
RedashAlert system with scheduled refresh from data sources

Embedded Analytics & Sharing

Embedded Analytics

MetabaseFull embedded analytics with React SDK and iframe options, white-labeling
RedashPublic link sharing and embeddable widgets via URL

White-Labeling

MetabaseAvailable on Pro and Enterprise plans with dynamic styling
RedashNot available as a built-in feature

API Access

MetabaseREST API for programmatic access
RedashFull REST API for queries, dashboards, and data sources

Security & Administration

SSO Integration

MetabaseSAML, LDAP, JWT, and Google SSO with group mapping
RedashSSO support with access control

Row/Column-Level Permissions

MetabaseGranular row-level, column-level, and collection-level permissions
RedashBasic user management and access control

Multi-Tenant Data Segregation

MetabaseNative support for one-database-per-tenant architecture
RedashNot available as a built-in feature

Platform & Ecosystem

AI Features

MetabaseMetabot AI for natural language SQL generation (add-on)
RedashNo built-in AI features

Data Modeling / Semantic Layer

MetabaseData Studio with models, metrics, segments, SQL/Python transforms
RedashNo built-in data modeling layer

Primary Language

MetabaseClojure (backend)
RedashPython (backend)

Which to choose

Metabase and Redash are both strong open-source BI tools, but they serve different audiences. Metabase delivers a polished, enterprise-ready platform with a no-code query builder, embedded analytics, advanced permissions, and a growing AI layer. Redash remains a focused, SQL-first tool that excels at connecting to diverse data sources and letting technical teams query and visualize data with minimal overhead. Your choice depends on whether you need self-service BI for mixed-skill teams or a lean query tool for SQL-fluent analysts.

Best-fit scenarios

Choose Metabase if:

We recommend Metabase when you need a BI platform that serves both technical and non-technical users. The no-code visual query builder lets business stakeholders explore data independently, while the SQL editor gives analysts full control for complex queries. Metabase stands out with its embedded analytics capabilities, including a React SDK and white-labeling, making it the stronger choice for SaaS companies that need customer-facing dashboards. The granular permission system with row-level, column-level, and collection-level security gives administrators fine control over data access. Metabase Cloud offers a fully managed deployment path, and the recently introduced Data Studio provides a semantic layer with models, metrics, and transforms. With 46,900+ GitHub stars and an 8.4/10 user rating, Metabase has a sizable community and a quick release cadence.

Choose Redash if:

We recommend Redash when your team is comfortable writing SQL and you want a no-frills tool to query, visualize, and share data. Redash connects to a wide range of SQL, NoSQL, Big Data, and API data sources, making it a strong fit for organizations with heterogeneous data stacks. The browser-based SQL editor with auto-complete, snippets, and schema browsing provides a productive query workflow. Redash offers a broader set of visualization types out of the box, including sankey diagrams, sunburst charts, and word clouds. As a fully open-source tool under the BSD-2-Clause license with no paid tiers, Redash has zero licensing cost for self-hosted deployments. With 28,500+ GitHub stars and backing from Databricks (which acquired Redash in 2020), the project continues to receive active development. Redash is the better pick for data teams that want a straightforward, cost-free query and dashboard tool without the overhead of a full BI platform.

These scenarios reflect the available product evidence. Your requirements, existing stack, and team expertise should guide the final decision.

Frequently Asked Questions

Is Redash still actively maintained after the Databricks acquisition?

Yes. Databricks acquired Redash in June 2020, and the project remains actively maintained as open-source software under the BSD-2-Clause license. The latest release (v26.3.0) shipped in March 2026, and the GitHub repository shows recent commit activity. Databricks continues to invest in Redash while integrating its technology into the broader Databricks platform.

Can Metabase be used for free?

Yes. Metabase offers a fully functional open-source edition that you can self-host at no cost. The open-source version includes the visual query builder, SQL editor, dashboards, and core security features. Paid cloud plans start at $100/mo for the Starter tier. The Enterprise plan adds priority support, advanced permissions, and additional Data Studio features at per-user pricing.

Which tool has better data source support?

Both tools support a wide range of databases, but they approach connectivity differently. Metabase offers 20+ native database connectors covering PostgreSQL, MySQL, Redshift, BigQuery, MongoDB, and other major databases. Redash supports SQL, NoSQL, Big Data, and API data sources including PostgreSQL, MySQL, BigQuery, Redshift, Snowflake, Athena, Spark SQL, and MariaDB. Redash also lets you use query results as a data source to join data across different databases, which is useful for cross-database analysis.

Which tool is better for embedding analytics into a SaaS product?

Metabase is the stronger choice for embedded analytics. It provides a dedicated React SDK for deep integration, iframe-based embedding for quick setup, and white-labeling to match your product branding. Paid plans include dynamic styling, custom click behaviors, and interactive controls ranging from view-only mode to full data discovery. Redash supports public link sharing and embeddable widgets via secret URLs, but it lacks a dedicated embedding SDK and white-labeling capabilities.