Overview

Superset combines chart creation, interactive dashboards, and analytics controls in a package teams run themselves. Analysts can start with a no-code builder or work in a SQL IDE, so it can serve both visual exploration and query-led analysis. The Apache License 2.0 and free price make it accessible without a software fee, but do not remove the work of operating the platform.

It supports Linux, web, API, and self-hosted use. The REST API is described by an OpenAPI specification and can support automation, integrations, and custom applications; most endpoints require JWT authentication.

Key features

The platform ships with more than 40 visualization types and allows custom visualizations through a plug-in architecture. That breadth gives teams room to build varied reporting experiences, while custom chart work may require technical capacity. Drag-and-drop tools create charts and tables for interactive dashboards.

Filters, cross-filters, drill-to-detail, and drill-by support exploration beyond a fixed report. Data caching, Jinja templating, CSS templates, and a semantic layer provide further ways to shape analytics and presentation. Scheduled reports, embedded analytics, natural-language queries, and row-level security add capabilities for broader use across teams.

The database guide covers 81 databases, including Trino, Apache Hive, Apache Spark SQL, PostgreSQL, and Google BigQuery. Drivers must be installed separately for each database engine, so connecting a varied data stack takes configuration rather than working automatically out of the box.

Superset exposes authentication, user management, permissions, and roles through Flask AppBuilder, with built-in roles including Admin, Alpha, Gamma, sql_lab, and Public. Its security guide is explicit that Superset is not a database firewall: its controls supplement, rather than replace, robust security at the database layer. Teams must preserve that boundary when granting access to data.

Pricing

Apache Superset — 0.00 USD per free. The free, open-source platform includes self-managed installation options. It fits teams able to supply the infrastructure and operational expertise themselves; there is no paid hosted tier described here to trade management work for convenience.

Platforms

Superset is available for self-hosted deployment on Linux and through the web, with an API for programmatic access. Official installation methods include Docker Compose, Kubernetes, and a Python package from PyPI. Kubernetes is identified as the production best-practice route, but it requires Kubernetes expertise, making it a better fit for organizations with that capability than teams seeking a turnkey service.

Who it's for

Superset is best for data and engineering teams that want an open-source analytics layer connected to a broad range of databases, and that can manage deployment, drivers, and database security. Its visual builder lowers the barrier for chart creation, while the SQL IDE and API give technically equipped teams more control. It is less suitable for organizations that need a managed analytics product or cannot staff production operations.

Pros and cons

Pro: No software charge and Apache License 2.0 make it viable for teams seeking an open-source, self-managed platform.
Pro: More than 40 built-in visualizations, custom plug-ins, and interactive dashboard exploration support varied analytics experiences.
Pro: Support for 81 databases, plus an API, scheduled reports, and embedded analytics, gives teams several ways to connect and distribute analysis.
Con: Database drivers require separate installation, adding setup work for each engine.
Con: Production Kubernetes deployment calls for Kubernetes expertise, and self-management puts operational responsibility on the team.
Con: Superset’s safeguards do not replace database security, so teams must maintain protection at the underlying data systems.

Alternatives

For other products in this category, browse Data Visualization Software or Business Intelligence Tools.

amCharts is a freemium alternative with a free plan, API, web, and self-hosted platforms.
Flourish offers a free plan with unlimited projects and stories, its full template range, and public publishing and embeds with attribution; consider it when those publishing terms suit the work.
Datawrapper has a free plan for charts, maps, and tables, with web publishing and embedding, PNG downloads, and attribution shown.
Infogram has a free Basic plan for one user, with 35+ interactive chart types and up to 10 projects; it suits a smaller, bounded project workflow.
ClicData is a freemium option with a free plan and API, web, self-hosted, desktop, and Linux platform support.
OpenSearch is another free, open-source Apache 2.0 option with no licensing fees.
Metabase offers a self-hosted open-source edition under AGPL with unlimited transform runs and AI available with your own model.
AgencyAnalytics is a paid alternative with a 25.00 USD per month plan, billed monthly and priced per client.

Verdict

Choose Apache Superset if your team wants free, open-source dashboards and charting across a wide database mix, and has the expertise to operate the stack and secure the underlying databases. Its breadth and SQL/API access are the main reasons to choose it; look elsewhere if you need a managed deployment or cannot take on driver setup and production responsibility.

	Apache Superset	Datawrapper
Free plan	Yes	Yes
Free trial	No	No
Paid from	Free	$21/mo
Open source	No	No
Platforms	api, Linux, self-hosted, Web	Android, api, iOS, Linux, macOS, self-hosted, Web, Windows
Free plan	Yes	Yes
Paid from	—	$21/user/mo

Apache Superset vs Datawrapper

Apache Superset

Datawrapper