Redash

Redash is an open-source analytics workspace for querying connected data, turning results into interactive dashboards, and sharing them with an organization. It is best suited to SQL-capable teams that can operate a Linux deployment. The broad connector list and query-to-dashboard workflow are strong reasons to consider it, while self-hosting and infrastructure responsibility make it a poor fit for teams seeking a managed service.

Overview

Redash keeps SQL at the center of data exploration. Users connect data sources, browse schemas, write and reuse queries, visualize results, and assemble shared dashboards. That approach suits analysts and engineers who want direct control over queries rather than a primarily drag-and-drop reporting tool.

Redash is free and open source, but its hosted service at app.redash.io shut down on November 30, 2021. Choosing Redash therefore means planning your own deployment, upgrades, authentication configuration, and supporting infrastructure.

Key features

The query editor provides schema browsing, autocomplete, keyboard shortcuts, and reusable snippets. These conveniences reduce friction when finding fields and standardizing recurring SQL, making the product particularly practical for teams whose reporting work already lives in queries.

Interactive dashboards can combine results from multiple sources and be shared by URL or embedded as widgets. Scheduled result updates keep recurring views current, while alerts can flag events in data. The visualization set includes charts, cohort views, pivot tables, boxplots, maps, counters, Sankey diagrams, sunbursts, and word clouds, giving teams several ways to present analytical results beyond a basic chart.

Connectors cover a wide mix of services and databases, including Amazon Athena, Amazon Redshift, DynamoDB, CloudWatch, BigQuery, Databricks, ClickHouse, Cassandra, Elasticsearch, Google Analytics, Google Spreadsheets, PostgreSQL, Snowflake, MongoDB, JIRA, and Salesforce. That breadth is useful for organizations with a mixed data stack, although a project should verify that its essential systems are supported.

The REST API supports user keys and query keys. Query-key access can be limited to a query and its results, which provides a narrower way to expose selected data than granting broad account access.

Authentication options include password login, Google OAuth, and SAML 2.0. Administrators control authentication through the interface and environment variables, and Redash recommends disabling password login when Google OAuth or SAML is the expected sign-in method. That gives organizations a route to centralized identity, but it also places configuration and security decisions on the operator.

Pricing

There are no paid hosted tiers to compare. The zero software price is most compelling for organizations with existing Linux, Docker, and operational resources; it does not remove the cost of servers, maintenance, or administration. There are no published seat quotas, usage allowances, trial terms, or renewal charges for this plan.

Platforms

Redash is delivered through the web and exposes an API. Official setup guidance describes deployment on a Linux server with Docker and Docker Compose, so it is a self-managed web application rather than a conventional desktop product.

The reference configuration is intended for small deployments. Larger installations are advised to use a separate database, likely a separate Redis server, and at least two Redash servers. Consequently, growth can require a deliberate infrastructure design rather than simply adding users to a hosted account.

Who it's for

Redash fits SQL users who explore, query, visualize, and share organizational data. It is a strong choice for engineering-led analytics teams that value many connectors, reusable SQL, scheduled refreshes, alerts, and API access, and that can take responsibility for Linux deployment and authentication.

It is less suitable for organizations that need a vendor-managed service, prefer no server operations, or lack staff comfortable maintaining Docker-based applications and their backing services.

Pros and cons

Pros

• Broad connectivity: support for databases, cloud services, spreadsheets, and business systems can bring a varied stack into one reporting workspace.
• SQL-focused workflow: schema browsing, autocomplete, shortcuts, and snippets help experienced SQL users move from exploration to repeatable reporting.
• Sharing and automation: URL sharing, embeddable widgets, scheduled refreshes, alerts, and a REST API support distribution beyond the analyst's own screen.
• No software charge: the open-source self-hosted edition costs nothing.

Cons

• Operational burden: users must deploy and maintain the application themselves, with larger deployments needing separate services and multiple Redash servers.
• No current hosted option: the former app.redash.io service is shut down, so teams cannot select a Redash-managed plan.
• SQL dependence: the product's strongest workflow is aimed at SQL users, which may not suit teams seeking a primarily visual, no-code analysis experience.
• Community-led support: Redash directs support questions to GitHub Discussions rather than a published paid support tier.

Alternatives

Metabase is the better direction for teams comparing another open-source, self-hosted business-intelligence option and wanting a freemium model.

Datawrapper is a stronger fit when the priority is publishing and embedding charts, maps, and tables across web and desktop/mobile-accessible platforms, with a free plan that includes PNG downloads and attribution.

Matplotlib suits developers who need a Python library under a BSD-compatible open-source license rather than a shared dashboard application.

Apache Superset is another free, self-managed platform for data exploration and visualization.

Plotly is worth considering for a freemium, self-hosted workflow with a free plan that includes limited creator, viewer, and app allocations.

Kibana is the alternative when self-managed Elastic Stack visualization and community-supported free features are the central requirement.

Flourish is aimed at template-driven visual storytelling with free public publishing and embeds that include attribution.

Infogram offers a freemium chart-and-infographic product with a basic plan for one user and limited projects.

For broader comparisons, see Data Visualization Software, Business Intelligence Tools, and SQL Query Tools.

Verdict

Choose Redash if your organization has SQL expertise and the ability to run Linux infrastructure, and you want a free, open-source route from many data sources to shareable dashboards, alerts, and API-driven results. Look elsewhere if you need a managed hosted service or want analytics without taking responsibility for deployment and operations.