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ClickHouse vs Ubersuggest

ClickHouse logo

ClickHouse

Software

Fast open-source column-oriented database for real-time analytics

From
Free
Rated
-
Full reviewWebsite
Ubersuggest logo

Ubersuggest

Software

Win at the game of SEO and AEO

From
On request
Rated
-
Full reviewWebsite

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; Ubersuggest entry plan limits tracking to 1 domain project and 125 tracked keywords, with reports capped at 150 per day

Where they differ

Only the attributes on which ClickHouse and Ubersuggest actually diverge.

Attributes where ClickHouse and Ubersuggest differ
AttributeClickHouseUbersuggest
Starting priceFreeOn request
Pricing modelUnknownsubscription
Free tierYesNo
PlatformsLinux, macOS, Windows (via Docker)Web
Founded2021Unknown

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 Ubersuggest

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 Ubersuggest
  • Data warehousingnot Ubersuggest
  • Real-time analyticsnot Ubersuggest
  • Reportingnot Ubersuggest
  • Machine learningnot Ubersuggest

Ubersuggest

No use cases recorded yet. See the Ubersuggest 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

Ubersuggest

  • Entry plan limits tracking to 1 domain project and 125 tracked keywords, with reports capped at 150 per day
  • Report volume and tracked keywords scale by tier, with the mid tier capped at 7 domain projects and 150 keywords and the premium tier capped at 15 domain projects and 300 keywords

Pricing, plan by plan

ClickHouse

Free

No published plan breakdown. See the ClickHouse review.

Ubersuggest

On request

No published plan breakdown. See the Ubersuggest 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.
ClickHouse review

Choose Ubersuggest if

Nothing in the data separates Ubersuggest from ClickHouse on the points above - pick on price and on how each one feels to use.

Ubersuggest review

Questions people ask

Is ClickHouse or Ubersuggest better?
Neither clearly leads. ClickHouse starts at Free and Ubersuggest at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, ClickHouse or Ubersuggest?
ClickHouse has a free tier; the other does not. Paid plans start at Free for ClickHouse and On request for Ubersuggest.
Does ClickHouse or Ubersuggest run on more platforms?
ClickHouse runs on Linux, macOS, Windows (via Docker). Ubersuggest runs on Web.
Can I use ClickHouse for free?
Yes. ClickHouse has a free tier, so you can try it without paying. Ubersuggest 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 Ubersuggest is typically brought in for.
What can ClickHouse do that Ubersuggest 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.

Source
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.

Source
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.

Source
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Related pages

More on ClickHouse

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