Databases · head to head
Apache Pinot vs Apache Superset

Apache Pinot
Databases
Real-time distributed OLAP datastore for analytics
- From
- Free
- Rated
- -

Apache Superset
Spreadsheets
Modern data exploration and visualization platform
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Apache Pinot self-hosted and distributed, so running it means operating a cluster rather than consuming a service; Apache Superset no commercial pricing; open-source project
- They diverge on capability: Apache Pinot covers Real-time Analytics, Apache Superset covers 40+ Visualizations.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Apache Pinot and Apache Superset actually diverge.
| Attribute | Apache Pinot | Apache Superset |
|---|---|---|
| Platforms | Linux, Docker, Kubernetes | Web, Self-hosted, Docker |
| Category | Databases | Spreadsheets |
Identical on both: starting price (Free), pricing model (open-source), free tier (Yes), user rating (Not yet rated), founded (1999).
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in Apache Pinot
- Real-time Analytics
- Column-oriented
- Distributed Processing
- SQL Support
- Pluggable Indexing
- Star-tree Index
- Upsert Support
- Kafka
Only in Apache Superset
- 40+ Visualizations
- SQL IDE
- Semantic Layer
- Caching
- Security
- PostgreSQL
- MySQL
- Druid
Both cover
- Presto
- Docker support
What people use each for
The jobs each tool is most often brought in to do.
Apache Pinot
- Sub-second analytics queries on freshly ingested datanot Apache Superset
- User-facing dashboards inside a productnot Apache Superset
- Real-time metrics at high ingest ratesnot Apache Superset
- Petabyte-scale analytics as run at LinkedIn and Ubernot Apache Superset
Apache Superset
- Self-service analyticsnot Apache Pinot
- Data explorationnot Apache Pinot
- Ad-hoc reportingnot Apache Pinot
- Collaborative analysisnot Apache Pinot
- Embedded analyticsnot Apache Pinot
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Apache Pinot
- Self-hosted and distributed, so running it means operating a cluster rather than consuming a service
- Managed hosting comes from third parties such as StarTree rather than from the project
- Built for user-facing real-time OLAP, so it is not a general purpose database
Apache Superset
- No commercial pricing; open-source project
- Commercial hosting available via Preset.io (separate vendor)
Pricing, plan by plan
Apache Pinot
Free- Open SourceFree
- Real-time analytics
- SQL queries
- Horizontal scaling
Apache Superset
Free- Open SourceFree
- Full Features
- Self-hosted
- Community Support
Which should you pick?
Choose Apache Pinot if
- You need real-time analytics.
- You want to start without paying.
- You work on Linux, Docker, Kubernetes.
- You also want column-oriented.
Choose Apache Superset if
- You need 40+ visualizations.
- You want to start without paying.
- You work on Web, Self-hosted, Docker.
- You also want sql ide.
Questions people ask
- Is Apache Pinot or Apache Superset better?
- Neither clearly leads. Apache Pinot starts at Free and Apache Superset at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Apache Pinot or Apache Superset?
- Apache Pinot starts at Free and Apache Superset at Free.
- Does Apache Pinot or Apache Superset run on more platforms?
- Apache Pinot runs on Linux, Docker, Kubernetes. Apache Superset runs on Web, Self-hosted, Docker.
- Can I use Apache Pinot for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Apache Pinot best used for?
- Apache Pinot is most often used for sub-second analytics queries on freshly ingested data, user-facing dashboards inside a product, real-time metrics at high ingest rates, petabyte-scale analytics as run at linkedin and uber. Of those, sub-second analytics queries on freshly ingested data and user-facing dashboards inside a product are not what Apache Superset is typically brought in for.
- What can Apache Pinot do that Apache Superset cannot?
- Apache Pinot covers Real-time Analytics, Column-oriented, Distributed Processing, SQL Support. Apache Superset covers 40+ Visualizations, SQL IDE, Semantic Layer, Caching. Both handle Presto, Docker support.
Answered from the vendors’ own pages
Apache Pinot: How much does Apache Pinot cost?
Apache Pinot is free and open-source. It is provided under the Apache License, which allows free use, modification, and distribution.
SourceApache Superset: What does Apache Superset cost?
Apache Superset is open-source software available free under the Apache 2.0 license. There are no licensing costs, subscription fees, or per-seat charges for using Superset itself.
SourceApache Pinot: Is Apache Pinot free for commercial use?
Yes. Apache Pinot is licensed under the Apache License, which explicitly permits commercial use at no cost.
SourceApache Superset: Is there a paid version of Apache Superset?
Apache Superset itself is free and open-source. Preset.io offers commercial Superset hosting with premium support, but this is a separate vendor service, not an official paid tier of Superset.
SourceApache Pinot: Can I run Apache Pinot locally or with Docker?
Yes. Apache Pinot offers a Docker quickstart and free downloads of the latest version (1.5.1 at the time of the page). You are responsible for hosting and infrastructure.
SourceApache Pinot: Are there restrictions on how I can use Apache Pinot?
The Apache License permits unrestricted use, but requires retention of license notices and statements. No usage limits or feature restrictions are enforced.
SourceRelated pages
More on Apache Pinot
More on Apache Superset
Other head to heads
- Apache Pinot vs ClickHouse
- Apache Pinot vs Tinybird
- Apache Pinot vs Airtable
- Apache Pinot vs Cockroach Labs
- Apache Pinot vs PostgreSQL
- Apache Pinot vs Amazon Aurora
- Apache Pinot vs SingleStore
- Apache Pinot vs DuckDB
- Apache Pinot vs Firebolt
- Apache Pinot vs Estuary
- Apache Pinot vs TimescaleDB
- Apache Pinot vs Materialize
- Apache Pinot vs DataGrip
- Apache Pinot vs Google Cloud SQL
- Apache Pinot vs Microsoft SQL Server
- Apache Pinot vs QuestDB
- Apache Pinot vs Metabase
- Apache Pinot vs Tableau
- Apache Pinot vs Looker
- Apache Pinot vs Redash
- Apache Pinot vs Equals
- Apache Pinot vs Sigma Computing
- Apache Pinot vs Fibery
- Apache Pinot vs Baserow
- Apache Pinot vs NocoDB
- Apache Pinot vs Budibase
- Apache Pinot vs Google Sheets
- Apache Pinot vs Numbers
- Apache Pinot vs SeaTable
- Apache Pinot vs Teable
- Apache Pinot vs APITable
- Apache Pinot vs Coefficient
- Apache Pinot vs Cube Software
- Apache Superset vs ClickHouse
- Apache Superset vs Tinybird
- Apache Superset vs Airtable
- Apache Superset vs Cockroach Labs
- Apache Superset vs PostgreSQL
- Apache Superset vs Amazon Aurora
- Apache Superset vs SingleStore
- Apache Superset vs DuckDB
- Apache Superset vs Firebolt
- Apache Superset vs Estuary
- Apache Superset vs TimescaleDB
- Apache Superset vs Materialize
- Apache Superset vs DataGrip
- Apache Superset vs Google Cloud SQL
- Apache Superset vs Microsoft SQL Server
- Apache Superset vs QuestDB
- Apache Superset vs Metabase
- Apache Superset vs Tableau
- Apache Superset vs Looker
- Apache Superset vs Redash
- Apache Superset vs Equals
- Apache Superset vs Sigma Computing
- Apache Superset vs Fibery
- Apache Superset vs Baserow
- Apache Superset vs NocoDB
- Apache Superset vs Budibase
- Apache Superset vs Google Sheets
- Apache Superset vs Numbers
- Apache Superset vs SeaTable
- Apache Superset vs Teable
- Apache Superset vs APITable
- Apache Superset vs Coefficient
- Apache Superset vs Cube Software
