Database & Data Management · head to head
ClickHouse vs Knack
ClickHouse
Database & Data Management
Fast open-source column-oriented database for real-time analytics
- From
- Free
- Rated
- -
Knack
Database & Data Management
Build online databases and apps without code
- From
- On request
- 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; Knack plans are priced by number of records and objects rather than users, ranging from $110 to $300 per month as data volume grows
Where they differ
Only the attributes on which ClickHouse and Knack actually diverge.
| Attribute | ClickHouse | Knack |
|---|---|---|
| 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 (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 ClickHouse
- Column-oriented Storage
- Real-time Analytics
- SQL Support
- Linear Scalability
- Data Compression
- Vectorized Query Execution
- Approximate Calculations
- Kafka
Only in Knack
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 Knack
- Data warehousingnot Knack
- Real-time analyticsnot Knack
- Reportingnot Knack
- Machine learningnot Knack
Knack
No use cases recorded yet. See the Knack 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
Knack
- Plans are priced by number of records and objects rather than users, ranging from $110 to $300 per month as data volume grows
Pricing, plan by plan
ClickHouse
FreeNo published plan breakdown. See the ClickHouse review.
Knack
On requestNo published plan breakdown. See the Knack 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 Knack if
Nothing in the data separates Knack from ClickHouse on the points above - pick on price and on how each one feels to use.
Questions people ask
- Is ClickHouse or Knack better?
- Neither clearly leads. ClickHouse starts at Free and Knack at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, ClickHouse or Knack?
- ClickHouse has a free tier; the other does not. Paid plans start at Free for ClickHouse and On request for Knack.
- Does ClickHouse or Knack run on more platforms?
- ClickHouse runs on Linux, macOS, Windows (via Docker). Knack runs on Web.
- Can I use ClickHouse for free?
- Yes. ClickHouse has a free tier, so you can try it without paying. Knack 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 Knack is typically brought in for.
- What can ClickHouse do that Knack 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