Software · head to head
Apache Druid vs Ninox
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; Ninox paid plans are priced per user starting around 25 euros per month, and offline desktop and mobile access is limited to the higher Business and Enterprise tiers
Where they differ
Only the attributes on which Apache Druid and Ninox actually diverge.
| Attribute | Apache Druid | Ninox |
|---|---|---|
| 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 Ninox
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 Ninox
- Applications requiring sub-second queries over high-cardinality datasets (billions to trillions of rows)not Ninox
- Time-series and event analysis at massive scale with columnar storage efficiencynot Ninox
Ninox
No use cases recorded yet. See the Ninox 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
Ninox
- Paid plans are priced per user starting around 25 euros per month, and offline desktop and mobile access is limited to the higher Business and Enterprise tiers
Pricing, plan by plan
Apache Druid
FreeNo published plan breakdown. See the Apache Druid review.
Ninox
On requestNo published plan breakdown. See the Ninox 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 Ninox if
Nothing in the data separates Ninox 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 Ninox better?
- Neither clearly leads. Apache Druid starts at Free and Ninox at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Apache Druid or Ninox?
- Apache Druid has a free tier; the other does not. Paid plans start at Free for Apache Druid and On request for Ninox.
- Does Apache Druid or Ninox run on more platforms?
- Apache Druid runs on Docker, Kubernetes, Native deployment (Java-based). Ninox runs on Web.
- Can I use Apache Druid for free?
- Yes. Apache Druid has a free tier, so you can try it without paying. Ninox 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 Ninox is typically brought in for.
- What can Apache Druid do that Ninox cannot?
- Apache Druid covers Real-time Ingestion, Sub-second Queries, Column-oriented Storage, Streaming Integration.