AI infrastructure · Tool

Redash

Researched

Redash is an open source data visualization and dashboarding tool that connects to SQL, NoSQL, Big Data, and API sources. It provides a powerful SQL editor, drag-and-drop dashboards, scheduled refreshes, alerts, and sharing to help companies become data driven.

Online Checked XX
Official site snapshots

See the official site at a glance

Read-only public captures of Redash’s homepage. Screenshots are dated, never live embeds, and open full-screen.

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Homepage · captured Jul 23, 2026
At a glance

In one minute

Start here for the decision-making essentials: what Redash does, who it is for, how it is accessed, and the first-party sources behind this profile.

PricingCurrent signal

See official pricing

Platforms
Web
API accessNot public
FoundedNot disclosed by source
AvailabilityWeb / remote
LicenseRedash is a popular open source project

Best suited to

Source-backed fit
Teams seeking an open source data visualization and BI platform Companies wanting to consolidate queries across multiple data sources into… Organizations needing a self-hosted business intelligence solution Teams requiring read-only query access to production databases Groups that need to share dashboards and query results with internal or… Organizations building a data-driven business
Decision support

Common questions and adoption checks

6 sourced answers

Short answers to the questions buyers and builders commonly ask about Redash. Each answer cites the shared ledger below, where every source is listed once.

01What does Redash say it can do?

Connect to data sources, query, build dashboards, visualize data, and share with a company · Powerful online SQL editor with schema browsing and reusable snippets · Dashboards with drag-and-drop visualizations, scheduled refresh, and sharing (team or publ · User management

Connect and query your data sources, build dashboards to visualize data and share them with your company.
02Who is Redash intended for?

Organizations building a data-driven business

See how various organizations use Redash to build a data-driven business
03What use cases does Redash describe?

Connecting to data sources, querying, visualizing and sharing data to make a company data · Making a company data driven · Query data from different sources and types to answer complex issues · Make your company data driven

connect to any data source (PostgreSQL, MySQL, Redshift, BigQuery, MongoDB and many others), query, visualize and share your data to make your company data driven.
04What should teams verify before adopting Redash?

Hosted Redash has reached End of Life · Basic deployments require a minimum of 4GB of RAM · Additional RAM and CPU may be needed as usage grows to support more background workers and

Hosted Redash End of Life
05Does Redash document API access?

Redash API available · Redash is accessible via API to extend its functionality

My favourite features are parameters and filters as well as Redash API.
06What integrations does Redash document?

PostgreSQL, MySQL, Redshift, BigQuery, MongoDB and many others · Supports SQL, NoSQL, Big Data, and API data sources · Data Sources support · Integrations and API

PostgreSQL, MySQL, Redshift, BigQuery, MongoDB and many others
Decision guide

Capabilities and operating fit

AI infrastructure

This profile connects the jobs Redash is described as handling with its delivery model, access options and the subjects used to match it to related products in this directory.

Common use cases

  • Connecting to PostgreSQL, MySQL, Redshift, BigQuery, MongoDB and many others
  • Querying data using a SQL editor with schema browsing and reusable snippets
  • Building drag-and-drop dashboards with scheduled refresh
  • Sharing dashboards with a team or publicly
  • Setting up alerts and getting notified on certain events on data
  • Making a company data driven through shared visualizations

Access signals

Pricing model
See official pricing
API
Not publicly listed
Source links
7 recorded
Source-backed

Verified facts

Updated July 23, 2026

Each fact points to a recorded source, making it easy to distinguish verified product information from claims that need checking.

Official website

HTTP 200 verified twice

First-party description

Redash helps you make sense of your data

Source-supported facts

Redash is a popular open source project · Self-hosted open source edition is available · Connects to PostgreSQL, MySQL, Redshift, BigQuery, MongoDB and many others

Open source

Redash is a popular open source project

Capability

Connect to data sources, query, build dashboards, visualize data, and share with a company

Integration

PostgreSQL, MySQL, Redshift, BigQuery, MongoDB and many others

Capability

Powerful online SQL editor with schema browsing and reusable snippets

Capability

Dashboards with drag-and-drop visualizations, scheduled refresh, and sharing (team or public)

View 32 more verified facts
Capability

User management

Use case

Connecting to data sources, querying, visualizing and sharing data to make a company data driven

Deployment

Cloud-based service with collaborative advantages

Support

Help via Knowledge Base and GitHub Discussions

Integration

Supports SQL, NoSQL, Big Data, and API data sources

Use case

Making a company data driven

[3]redash.io/help
Capability

Visualizations

[3]redash.io/help
Integration

Data Sources support

[3]redash.io/help
Integration

Integrations and API

[3]redash.io/help
Integration

Product Integrations

[3]redash.io/help
Deployment

Self Hosted option available

[3]redash.io/help
Open source

Yes, open source edition available

[3]redash.io/help
Limitation

Hosted Redash has reached End of Life

[3]redash.io/help
Support

Developer Guide and Admin Guide provided, plus community discussion on GitHub

[3]redash.io/help
Capability

Connect to any data source, query, visualize and share data

[6]redash.io/integrations
Capability

Supports SQL, NoSQL, Big Data and API data sources

[6]redash.io/integrations
Use case

Query data from different sources and types to answer complex issues

[6]redash.io/integrations
Use case

Make your company data driven

[6]redash.io/integrations
Integration

Supported databases include Amazon Athena, Amazon Aurora, Amazon DynamoDB, Amazon Redshift, Axibase TSDB, Azure Data Explorer (Kusto), Cassandra, ClickHouse, Databricks, Druid, Elasticsearch, Google BigQuery, Graphite, Greenplum, Hive, Impa

[6]redash.io/integrations
Integration

Integrations include Google Analytics, Google Spreadsheets, JIRA, JSON, Python, Salesforce, Yandex AppMetrica, and Yandex Metrica

[6]redash.io/integrations
Integration

Partner integrations include Segment, Snowplow Analytics, and Stitch

[6]redash.io/integrations
Capability

Query databases

[2]redash.io/customers
Capability

Visualize data

[2]redash.io/customers
Capability

Query multiple data sources from a single window

[2]redash.io/customers
Capability

Provide read-only environment for queries

[2]redash.io/customers
Capability

Integrate various data sources in a single view

[2]redash.io/customers
Capability

Support a large number of data sources

[2]redash.io/customers
Capability

Share query results across the team

[2]redash.io/customers
Capability

Combine multiple queries into publicly viewable dashboards

[2]redash.io/customers
Capability

Parameters and filters for queries

[2]redash.io/customers
Api

Redash API available

[2]redash.io/customers
Integration

Redshift

[2]redash.io/customers
Practical capabilities

What it helps with

8 documented areas

A concise view of the jobs, capabilities and integrations described in the recorded product sources.

Use case

Connecting to PostgreSQL, MySQL, Redshift, BigQuery, MongoDB and many others

Use case

Querying data using a SQL editor with schema browsing and reusable snippets

Use case

Building drag-and-drop dashboards with scheduled refresh

Use case

Sharing dashboards with a team or publicly

Use case

Setting up alerts and getting notified on certain events on data

Use case

Making a company data driven through shared visualizations

Use case

Visualizing technical metrics such as pipeline latencies and infrastructure costs

Use case

Connecting to data sources, querying, visualizing and sharing data to make a company data

Availability

Where it runs and where to get it

Source checked

Documented product formats, platforms and official distribution destinations. Availability can vary by region and plan.

Cost / license

See official pricingRedash is a popular open source projectYes, open source edition availableRedash is available as open source and self-hosted softwareRedash is a popular open source project · Yes, open source edition available · Redash is available as open source and self-hosted software

Platforms

Supports SQL, NoSQL, Big Data and API data sourcesOfficial AWS AMIs are based on Ubuntu and use the user 'ubuntu' for SSH connectionsOn Google Compute Engine, the n1-standard-1 machine type is recommendedThe setup script installs Docker and Docker Compose, downloads the recommended Docker Comp

App stores and other links

Implementation details

Adoption notes

DeploymentCloud-based service with collaborative advantages · Self Hosted option available · Redash can be deployed via Google Compute Engine Image · Redash can be deployed via Docker
LicenseRedash is a popular open source project · Yes, open source edition available · Redash is available as open source and self-hosted software
Model supportNot disclosed by source
Data controlUser management with SSO and access control for enterprise workflows · Security Group should only allow incoming traffic on ports 22 (SSH), 80 (HTTP) and 443 (HT
Learning curveIntermediate
Primary use casesConnecting to PostgreSQL, MySQL, Redshift, BigQuery, MongoDB and many others, Querying data using a SQL editor with schema browsing and reusable snippets, Building drag-and-drop dashboards with scheduled refresh, Sharing dashboards with a team or publicly, Setting up alerts and getting notified on certain events on data, Making a company data driven through shared visualizations, Visualizing technical metrics such as pipeline latencies and infrastructure costs, Connecting to data sources, querying, visualizing and sharing data to make a company data, Making a company data driven, Query data from different sources and types to answer complex issues, Make your company data driven, Visualize technical metrics such as pipeline latencies and infrastructure costs, Democratise access to data within an organization, Share data stories with colleagues, teams or external partners, Track KPIs and collaborate with partners, Support sales, save engineering time, and report towards investors

What to verify before adopting

  • Hosted Redash has reached End of Life
  • Basic deployments require a minimum of 4GB of RAM
  • Additional RAM and CPU may be needed as usage grows to support more background workers and
Evolution and major updates

Redash timeline

A concise history of software releases and material product changes. Events appear only when a dated source supports what changed.

Research in progress
Scheduled for research

Building a reliable release history.

This profile is being checked for dated releases and material product changes. Nothing appears here until the exact date and event can be verified from a recorded source.

Dated event Short explanation Original source
Citation ledger

Recorded sources

7 unique pages

Facts, answers, structured details, milestones and primary resource links cite this shared ledger. Each external page appears once; release tags from the same GitHub project are grouped under one release history.

  1. 1redash.io 14 facts · 3 answers · Official site
  2. 2redash.io/customers 12 facts · 4 answers · Official site
  3. 3redash.io/help 9 facts · 4 answers · Official site
  4. 4redash.io/product 12 facts · 1 answer · Official site
  5. 5redash.io/help/open-source/setup 11 facts · 1 answer · Official site
  6. 6redash.io/integrations 7 facts · 3 answers · Official site
  7. 7redash.io/case-studies 7 facts · 1 answer · Official site
Research status70 substantive facts · 7 source pages · quality score 95/100