Database & Data Management · head to head
Apache Pinot vs Cockroach Labs

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

Cockroach Labs
Database & Data Management
The cloud-native distributed SQL database
- 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; Cockroach Labs basic and Standard tiers limited to AWS and GCP (select regions only)
- They diverge on capability: Apache Pinot covers Real-time Analytics, Cockroach Labs covers Distributed SQL.
Where they differ
Only the attributes on which Apache Pinot and Cockroach Labs actually diverge.
| Attribute | Apache Pinot | Cockroach Labs |
|---|---|---|
| Pricing model | open-source | freemium |
| Platforms | Linux, Docker, Kubernetes | AWS, GCP, Azure |
| Founded | 1999 | 2015 |
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 Cockroach Labs
- Distributed SQL
- Automatic Sharding
- Multi-region Replication
- Geo-partitioning
- ACID Transactions
- Horizontal Scaling
- Survivability
- PostgreSQL Compatibility
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 Cockroach Labs
- User-facing dashboards inside a productnot Cockroach Labs
- Real-time metrics at high ingest ratesnot Cockroach Labs
- Petabyte-scale analytics as run at LinkedIn and Ubernot Cockroach Labs
Cockroach Labs
- Distributed SQL database for scalable applicationsnot Apache Pinot
- Multi-region deployment and failovernot 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
Cockroach Labs
- Basic and Standard tiers limited to AWS and GCP (select regions only)
- Azure support restricted to Advanced tier only
- Basic tier limited to 50 million RUs and 10 GiB storage per month
- Advanced tier starts at $0.60/hour for 4 vCPUs minimum
- 3 TiB maximum storage on Basic and Standard tiers, 10 TiB per node on Advanced
Pricing, plan by plan
Apache Pinot
Free- Open SourceFree
- Real-time analytics
- SQL queries
- Horizontal scaling
Cockroach Labs
FreeNo published plan breakdown. See the Cockroach Labs review.
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 Cockroach Labs if
- You need distributed sql.
- You want to start without paying.
- You work on AWS, GCP, Azure.
- You also want automatic sharding.
Questions people ask
- Is Apache Pinot or Cockroach Labs better?
- Neither clearly leads. Apache Pinot starts at Free and Cockroach Labs at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Apache Pinot or Cockroach Labs?
- Apache Pinot starts at Free and Cockroach Labs at Free.
- Does Apache Pinot or Cockroach Labs run on more platforms?
- Apache Pinot runs on Linux, Docker, Kubernetes. Cockroach Labs runs on AWS, GCP, Azure.
- 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 Cockroach Labs is typically brought in for.
- What can Apache Pinot do that Cockroach Labs cannot?
- Apache Pinot covers Real-time Analytics, Column-oriented, Distributed Processing, SQL Support. Cockroach Labs covers Distributed SQL, Automatic Sharding, Multi-region Replication, Geo-partitioning.
Related pages
More on Apache Pinot
More on Cockroach Labs
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