Apache Superset vs Data Studio (Looker Studio)

Updated November 2026 · AppBreakup editorial

Apache Superset

Open-source data exploration and dashboard platform from the Apache Software Foundation.

Open sourceSelf-hostable

Visit Apache Superset Apache Superset profile

Data Studio (Looker Studio)

Google's free browser-based tool for building and sharing reports and dashboards.

Free plan + paid

Visit Data Studio (Looker Studio) Data Studio (Looker Studio) profile

The short answer

Apache Superset suits data teams that write SQL and want a free, self-hosted dashboard platform connected to their own databases. Data Studio (Looker Studio) suits marketers and small teams who want free, browser-based reports on Google Analytics, Ads, Sheets and BigQuery that share like a Google Doc. The biggest difference is setup: Superset must be deployed and maintained, while Data Studio runs as a hosted Google service with nothing to install.

Apache Superset or Data Studio (Looker Studio): our take

Both tools are free to start with, but in different ways. Superset is open source under the Apache-2.0 licence with no paid tier; you run it yourself with Docker or Kubernetes or pay a third-party host. Data Studio's self-service tier costs nothing and runs in the browser, with a Pro tier at $9 per user per project/month that adds team content management, admin controls and support through Google Cloud.

The audiences differ. Superset assumes comfort with SQL and data modelling: alongside a no-code chart builder with 40+ built-in visualizations, it includes SQL Lab for writing queries and browsing database metadata, and it connects to any SQL-based database. Dashboards support cross-filtering, caching and CSS theming. Data Studio is built for quick reporting. It has native connectors for Google Analytics, Ads, Sheets and BigQuery and 1,300+ community connectors, though many of those are run by outside companies that charge their own fees. Reports can be edited together in real time, shared like a Google Doc and embedded on any web page, which is why agencies use it for client reporting.

The trade-offs follow from that. Data Studio can get slow with large or blended datasets, and its data modelling is basic. Superset handles serious analytical work against your own databases and keeps everything on your infrastructure, but you take on setup, upgrades and support yourself, with no official vendor support from the project.

Choose Data Studio for marketing dashboards, client reports and small teams whose data already lives in Google products. Choose Superset when a data team needs SQL-driven exploration over its own warehouse, wants data to stay self-hosted, or has outgrown what Data Studio can handle at speed.

Choose Apache Superset if…

Data teams comfortable with SQL who want a free, self-hosted Tableau-style platform
You want open-source software
You need to host it on your own servers
You need Self-hosted, which Data Studio (Looker Studio) doesn't list
Completely free under the Apache 2.0 licence

Choose Data Studio (Looker Studio) if…

Marketers and small teams reporting on Google Analytics, Ads and Sheets data
Free self-service tier
Native connectors for Google Analytics, Ads, Sheets and BigQuery

What is Apache Superset?

Apache Superset is a free, open-source business intelligence platform maintained under the Apache Software Foundation. It began at Airbnb and is now used by many companies as a self-hosted alternative to Tableau or Looker. Superset connects to almost any SQL database or query engine, and offers two ways to work: a no-code chart builder with dozens of visualization types, from simple line charts to geospatial maps, and SQL Lab, a full SQL editor for writing queries and browsing database metadata. Charts are combined into interactive dashboards with cross-filtering, caching and CSS theming. It has no paid tier of its own; you run it yourself with Docker or Kubernetes, or buy hosting from third-party vendors. That freedom comes with setup and maintenance work, and the interface assumes some comfort with SQL and data modelling, so it suits data teams more than non-technical business users.

What is Data Studio (Looker Studio)?

Data Studio, which Google called Looker Studio for several years, is a free web app for building reports and dashboards. You connect it to Google sources such as Analytics, Ads, Sheets and BigQuery, or to databases and hundreds of other services through community connectors, then drag charts, tables and filters onto a canvas. Reports can be shared like a Google Doc, edited together in real time and embedded on web pages, so it is popular with marketers and agencies for client reporting. The self-service version costs nothing. A paid Pro tier, billed per user and project, adds team content management, admin controls and support through Google Cloud. It is quick to learn and easy to share, but large datasets can make reports slow, data modelling is basic compared with Power BI, and many third-party connectors are run by outside companies that charge their own fees.

Side by side

Attribute	Apache Superset	Data Studio (Looker Studio)
Pricing	Open source	Free plan + paid
Open source	Yes	No
Self-hostable	Yes	No
Platforms	Web, Self-hosted	Web
Best for	Data teams comfortable with SQL who want a free, self-hosted Tableau-style platform	Marketers and small teams reporting on Google Analytics, Ads and Sheets data
Status	Active	Active