Software · head to head
Apache Druid vs Grist
Apache Druid
Software
Real-time analytics database for sub-second OLAP queries
- From
- Free
- Rated
- -
The short version
- Only Apache Druid has a free tier, so it costs nothing to try first.
- Each has a real cost: Apache Druid open-source offering lacks high-availability, distributed architecture, and enterprise security features; 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 Druid and Grist actually diverge.
| Attribute | Apache Druid | Grist |
|---|---|---|
| Starting price | Free | On request |
| Pricing model | open-source | subscription |
| Free tier | Yes | No |
| Platforms | Docker, Kubernetes, Native deployment (Java-based) | Web |
| Founded | 1999 | Unknown |
Identical on both: user rating (Not yet rated), category (Unknown).
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 Druid
- Real-time Ingestion
- Sub-second Queries
- Column-oriented Storage
- Streaming Integration
- Approximate Algorithms
- Flexible Schemas
- Time-based Partitioning
- Kafka
Only in Grist
Nothing recorded that Apache Druid does not also cover.
What people use each for
The jobs each tool is most often brought in to do.
Apache Druid
- Real-time analytics platforms ingesting millions of events per second from streaming sourcesnot Grist
- Applications requiring sub-second queries over high-cardinality datasets (billions to trillions of rows)not Grist
- Time-series and event analysis at massive scale with columnar storage efficiencynot 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 Druid
- Open-source offering lacks high-availability, distributed architecture, and enterprise security features
- Requires native integration with Apache Kafka or Amazon Kinesis for real-time ingestion; custom integrations need development
- High-concurrency query support (hundreds of thousands QPS) requires significant cluster infrastructure investment
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 Druid
FreeNo published plan breakdown. See the Apache Druid review.
Grist
On requestNo published plan breakdown. See the Grist review.
Which should you pick?
Choose Apache Druid if
- You need real-time ingestion.
- You want to start without paying.
- You work on Docker, Kubernetes, Native deployment (Java-based).
- You also want sub-second queries.
Choose Grist if
Nothing in the data separates Grist from Apache Druid on the points above - pick on price and on how each one feels to use.
Questions people ask
- Is Apache Druid or Grist better?
- Neither clearly leads. Apache Druid 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 Druid or Grist?
- Apache Druid has a free tier; the other does not. Paid plans start at Free for Apache Druid and On request for Grist.
- Does Apache Druid or Grist run on more platforms?
- Apache Druid runs on Docker, Kubernetes, Native deployment (Java-based). Grist runs on Web.
- Can I use Apache Druid for free?
- Yes. Apache Druid has a free tier, so you can try it without paying. Grist starts at On request.
- What is Apache Druid best used for?
- Apache Druid is most often used for real-time analytics platforms ingesting millions of events per second from streaming sources, applications requiring sub-second queries over high-cardinality datasets (billions to trillions of rows), time-series and event analysis at massive scale with columnar storage efficiency. Of those, real-time analytics platforms ingesting millions of events per second from streaming sources and applications requiring sub-second queries over high-cardinality datasets (billions to trillions of rows) are not what Grist is typically brought in for.
- What can Apache Druid do that Grist cannot?
- Apache Druid covers Real-time Ingestion, Sub-second Queries, Column-oriented Storage, Streaming Integration.