Database & Data Management · head to head
Apache Pinot vs FaunaDB

Apache Pinot
Database & Data Management
Real-time distributed OLAP datastore for analytics
- From
- Free
- Rated
- -

FaunaDB
Database & Data Management
The distributed serverless database for modern applications
- 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; FaunaDB the Internet Archive's capture of FaunaDB's homepage on 5 January 2019 confirmed a free 'Try Cloud' tier alongside a self-hosted download, with a separate Pricing page linked but not itself retrievable from the archive within two attempts.
- They diverge on capability: Apache Pinot covers Real-time Analytics, FaunaDB covers ACID Transactions.
Where they differ
Only the attributes on which Apache Pinot and FaunaDB actually diverge.
| Attribute | Apache Pinot | FaunaDB |
|---|---|---|
| Pricing model | open-source | freemium |
| Platforms | Linux, Docker, Kubernetes | Web |
| Founded | 1999 | 2012 |
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Database & Data Management).
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 FaunaDB
- ACID Transactions
- Document-relational Model
- GraphQL API
- Global Distribution
- Temporal Queries
- Multi-tenancy
- Serverless
- GraphQL
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 FaunaDB
- User-facing dashboards inside a productnot FaunaDB
- Real-time metrics at high ingest ratesnot FaunaDB
- Petabyte-scale analytics as run at LinkedIn and Ubernot FaunaDB
FaunaDB
- Serverless applicationsnot Apache Pinot
- Rapid prototypingnot Apache Pinot
- Mobile backendsnot Apache Pinot
- JAMstacknot Apache Pinot
- Microservicesnot 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
FaunaDB
- The Internet Archive's capture of FaunaDB's homepage on 5 January 2019 confirmed a free 'Try Cloud' tier alongside a self-hosted download, with a separate Pricing page linked but not itself retrievable from the archive within two attempts.
Pricing, plan by plan
Apache Pinot
Free- Open SourceFree
- Real-time analytics
- SQL queries
- Horizontal scaling
FaunaDB
Free- FreeFree
- 100K read ops
- 50K write ops
- 1GB storage
- Pro$25/month
- Pay per use
- Priority support
- Advanced features
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 FaunaDB if
- You need acid transactions.
- You want to start without paying.
- You also want document-relational model.
Questions people ask
- Is Apache Pinot or FaunaDB better?
- Neither clearly leads. Apache Pinot starts at Free and FaunaDB at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Apache Pinot or FaunaDB?
- Apache Pinot starts at Free and FaunaDB at Free.
- Does Apache Pinot or FaunaDB run on more platforms?
- Apache Pinot runs on Linux, Docker, Kubernetes. FaunaDB runs on Web.
- 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 FaunaDB is typically brought in for.
- What can Apache Pinot do that FaunaDB cannot?
- Apache Pinot covers Real-time Analytics, Column-oriented, Distributed Processing, SQL Support. FaunaDB covers ACID Transactions, Document-relational Model, GraphQL API, Global Distribution.
Related pages
More on Apache Pinot
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