Database & Data Management · head to head
Apache Pinot vs Grist
Apache Pinot
Database & Data Management
Real-time distributed OLAP datastore for analytics
- From
- Free
- Rated
- -
The short version
- Only Apache Pinot has a free tier, so it costs nothing to try first.
- Each has a real cost: Apache Pinot self-hosted and distributed, so running it means operating a cluster rather than consuming a service; Grist hosted plans run $10 to $29 per month per workspace, and the free self-hosted option requires running the software yourself to avoid that cost
Where they differ
Only the attributes on which Apache Pinot and Grist actually diverge.
| Attribute | Apache Pinot | Grist |
|---|---|---|
| Starting price | Free | On request |
| Pricing model | open-source | subscription |
| Free tier | Yes | No |
| Platforms | Linux, Docker, Kubernetes | Web |
| Founded | 1999 | Unknown |
Identical on both: 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 Grist
Nothing recorded that Apache Pinot does not also cover.
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 Grist
- User-facing dashboards inside a productnot Grist
- Real-time metrics at high ingest ratesnot Grist
- Petabyte-scale analytics as run at LinkedIn and Ubernot Grist
Grist
No use cases recorded yet. See the Grist review.
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
Grist
- Hosted plans run $10 to $29 per month per workspace, and the free self-hosted option requires running the software yourself to avoid that cost
Pricing, plan by plan
Apache Pinot
Free- Open SourceFree
- Real-time analytics
- SQL queries
- Horizontal scaling
Grist
On requestNo published plan breakdown. See the Grist 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 Grist if
Nothing in the data separates Grist from Apache Pinot on the points above - pick on price and on how each one feels to use.
Questions people ask
- Is Apache Pinot or Grist better?
- Neither clearly leads. Apache Pinot starts at Free and Grist at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Apache Pinot or Grist?
- Apache Pinot has a free tier; the other does not. Paid plans start at Free for Apache Pinot and On request for Grist.
- Does Apache Pinot or Grist run on more platforms?
- Apache Pinot runs on Linux, Docker, Kubernetes. Grist runs on Web.
- Can I use Apache Pinot for free?
- Yes. Apache Pinot has a free tier, so you can try it without paying. Grist starts at On request.
- 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 Grist is typically brought in for.
- What can Apache Pinot do that Grist cannot?
- Apache Pinot covers Real-time Analytics, Column-oriented, Distributed Processing, SQL Support.