Software · head to head
ClickHouse vs Ninox
ClickHouse
Software
Fast open-source column-oriented database for real-time analytics
- From
- Free
- Rated
- -
The short version
- Only ClickHouse has a free tier, so it costs nothing to try first.
- Each has a real cost: ClickHouse limited multi-row atomic transactions and expensive UPDATE/DELETE operations unsuitable for transactional systems; 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 ClickHouse and Ninox actually diverge.
| Attribute | ClickHouse | Ninox |
|---|---|---|
| Starting price | Free | On request |
| Pricing model | Unknown | subscription |
| Free tier | Yes | No |
| Platforms | Linux, macOS, Windows (via Docker) | Web |
| Founded | 2021 | 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 ClickHouse
- Column-oriented Storage
- Real-time Analytics
- SQL Support
- Linear Scalability
- Data Compression
- Vectorized Query Execution
- Approximate Calculations
- Kafka
Only in Ninox
Nothing recorded that ClickHouse does not also cover.
What people use each for
The jobs each tool is most often brought in to do.
ClickHouse
- Business intelligencenot Ninox
- Data warehousingnot Ninox
- Real-time analyticsnot Ninox
- Reportingnot Ninox
- Machine learningnot 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.
ClickHouse
- Limited multi-row atomic transactions and expensive UPDATE/DELETE operations unsuitable for transactional systems
- Requires upfront schema design discipline with MergeTree engine choices and sort/partition keys
- Experimental vector search support, not production-ready for vector operations
- Different query syntax from standard SQL requiring migration planning
- Limited JOIN capabilities compared to traditional relational databases
- Migration complexity with 2-4 weeks estimated for data type mapping and query translation
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
ClickHouse
FreeNo published plan breakdown. See the ClickHouse review.
Ninox
On requestNo published plan breakdown. See the Ninox review.
Which should you pick?
Choose ClickHouse if
- You need column-oriented storage.
- You want to start without paying.
- You work on Linux, macOS, Windows (via Docker).
- You also want real-time analytics.
Choose Ninox if
Nothing in the data separates Ninox from ClickHouse on the points above - pick on price and on how each one feels to use.
Questions people ask
- Is ClickHouse or Ninox better?
- Neither clearly leads. ClickHouse 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, ClickHouse or Ninox?
- ClickHouse has a free tier; the other does not. Paid plans start at Free for ClickHouse and On request for Ninox.
- Does ClickHouse or Ninox run on more platforms?
- ClickHouse runs on Linux, macOS, Windows (via Docker). Ninox runs on Web.
- Can I use ClickHouse for free?
- Yes. ClickHouse has a free tier, so you can try it without paying. Ninox starts at On request.
- What is ClickHouse best used for?
- ClickHouse is most often used for business intelligence, data warehousing, real-time analytics, reporting. Of those, business intelligence and data warehousing are not what Ninox is typically brought in for.
- What can ClickHouse do that Ninox cannot?
- ClickHouse covers Column-oriented Storage, Real-time Analytics, SQL Support, Linear Scalability.
Answered from the vendors’ own pages
ClickHouse: What is ClickHouse best used for?
ClickHouse is optimized for analytical workloads on large datasets. It excels at fast aggregations and queries, being 10-100x faster than PostgreSQL on large aggregations.
SourceClickHouse: Does ClickHouse support transactions?
ClickHouse has limited transaction support and expensive UPDATE/DELETE operations. It is not suitable for transactional workloads requiring strict ACID guarantees.
SourceClickHouse: How does ClickHouse compare to PostgreSQL?
ClickHouse is 10-100x faster for analytics but PostgreSQL is better for transactional workloads. Many teams use both: PostgreSQL for writes via MaterializedPostgreSQL replication to ClickHouse for analytics.
Source