Databases · head to head
ClickHouse vs Knack

ClickHouse
Databases
Fast open-source column-oriented database for real-time analytics
- From
- Free
- Rated
- -

Knack
Databases
Hosted no-code database and web app builder priced by stored records and storage, with unlimited user accounts on every plan.
- From
- $59/month
- 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 capped by stored records, so an application that logs events or keeps history rather than current state climbs tiers on data volume alone, and archiving old records becomes a permanent maintenance chore rather than a one-off.
- They diverge on capability: ClickHouse covers Column-oriented Storage, Knack covers Visual database builder.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which ClickHouse and Knack actually diverge.
| Attribute | ClickHouse | Knack |
|---|---|---|
| Starting price | Free | $59/month |
| 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 (Databases).
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
- Visual database builder
- User logins and roles
- Page builder
- Unlimited users
- E-commerce
- Automation flows
- Scheduled tasks
- REST API and webhooks
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
- A member or client portal where thousands of external people need their own login and see only their own recordsnot ClickHouse
- Replacing a shared spreadsheet used by a team that has outgrown it but cannot justify a developer to build a bespoke internal toolnot ClickHouse
- Inventory, asset or case tracking for a small operations team that needs roles, forms and a record of who changed whatnot ClickHouse
- A registration or booking application for an association, school or non-profit where the user count is large and the record count stays modestnot ClickHouse
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 capped by stored records, so an application that logs events or keeps history rather than current state climbs tiers on data volume alone, and archiving old records becomes a permanent maintenance chore rather than a one-off.
- API access is capped per day, at 1,000 calls on the entry plan and 10,000 at the Corporate tier, so a scheduled sync or a busy automation can exhaust the day's quota before the working day ends and integrations then fail silently.
- The application itself cannot be exported or self-hosted; records can be downloaded but the pages, roles, flows and business logic exist only inside Knack, so outgrowing the platform means rebuilding the app rather than moving it.
- Customisation beyond the builder is limited to injected CSS and JavaScript that Knack's support does not cover, so any non-standard interface behaviour becomes yours to maintain against a DOM the vendor can change without warning.
- Compliance capabilities that regulated buyers assume are baseline, HIPAA and GovCloud options, advanced SSO, IP restrictions and private environments, are gated to the Corporate and Enterprise tiers, so a small regulated pilot cannot legitimately start on an entry plan.
Pricing, plan by plan
ClickHouse
FreeNo published plan breakdown. See the ClickHouse review.
Knack
$59/month- Starter$59/month
- 20,000 database records
- Unlimited users, tables, fields
- 25 AI credits
- Pro$130/month
- 50,000 database records
- Remove Knack branding
- E-commerce payments
- Corporate$300/month
- 125,000-2.5M database records
- App restore functionality
- Advanced SSO
- Enterprise$null/month
- Dedicated account manager
- HIPAA/GovCloud-based options
- Custom pricing
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.
Questions people ask
- Is ClickHouse or Knack better?
- Neither clearly leads. ClickHouse starts at Free and Knack at $59/month, 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 $59/month 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 $59/month.
- 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. Knack covers Visual database builder, User logins and roles, Page builder, Unlimited users.
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.
SourceKnack: Is Knack charged per user?
No. User accounts are unlimited on all plans. Plans are bounded by stored record count, file storage, API calls per day and automation transactions.
ClickHouse: 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.
SourceKnack: What happens when I exceed the record limit?
You move to a higher tier or reduce stored records. Because the limit is on data rather than people, apps that accumulate history hit it while apps that track a fixed set of entities generally do not.
ClickHouse: 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.
SourceKnack: Can I export my application or self-host it?
You can export record data. The application itself, its pages, roles, permissions and flows, is not exportable and cannot be self-hosted, so leaving means rebuilding elsewhere.
Knack: Is it suitable for public-facing portals?
That is its strongest case, because logins are unlimited and role-based permissions are built in. The constraint is record volume and API throughput, not audience size.
Knack: Can I use it for regulated data?
HIPAA-aligned and government cloud options exist but only on the Enterprise tier, along with private server environments. Lower tiers should not be used for regulated workloads.
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