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Databases · head to head

ClickHouse vs Preset

ClickHouse logo

ClickHouse

Databases

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

From
Free
Rated
-
Preset logo

Preset

Business Intelligence

Managed Apache Superset

From
Free
Rated
-

The short version

  • Each has a real cost: ClickHouse limited multi-row atomic transactions and expensive UPDATE/DELETE operations unsuitable for transactional systems; Preset limited SQL IDE advanced features compared to specialized query tools
  • They diverge on capability: ClickHouse covers Column-oriented Storage, Preset covers Managed Superset.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which ClickHouse and Preset actually diverge.

Attributes where ClickHouse and Preset differ
AttributeClickHousePreset
PlatformsLinux, macOS, Windows (via Docker)Web, Cloud
CategoryDatabasesBusiness Intelligence
Founded20212019

Identical on both: starting price (Free), pricing model (Unknown), free tier (Yes), user rating (Not yet rated).

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 Preset

  • Managed Superset
  • Auto-scaling
  • Enterprise Security
  • Custom Branding
  • API Access
  • Snowflake
  • BigQuery
  • Redshift

Both cover

  • PostgreSQL
  • Web support

What people use each for

The jobs each tool is most often brought in to do.

ClickHouse

  • Business intelligencenot Preset
  • Data warehousingnot Preset
  • Real-time analyticsnot Preset
  • Reportingnot Preset
  • Machine learningnot Preset

Preset

  • Self-service analyticsnot ClickHouse
  • Data explorationnot ClickHouse
  • Ad-hoc reportingnot ClickHouse
  • Collaborative analysisnot ClickHouse
  • Embedded analyticsnot 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

Preset

  • Limited SQL IDE advanced features compared to specialized query tools
  • Viewer licenses add substantial cost for embedded analytics deployments
  • Dataset-centric approach requires preprocessing by data teams for some use cases

Pricing, plan by plan

ClickHouse

Free

No published plan breakdown. See the ClickHouse review.

Preset

Free

No published plan breakdown. See the Preset 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 Preset if

  • You need managed superset.
  • You want to start without paying.
  • You work on Web, Cloud.
  • You also want auto-scaling.

Questions people ask

Is ClickHouse or Preset better?
Neither clearly leads. ClickHouse starts at Free and Preset at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, ClickHouse or Preset?
ClickHouse starts at Free and Preset at Free.
Does ClickHouse or Preset run on more platforms?
ClickHouse runs on Linux, macOS, Windows (via Docker). Preset runs on Web, Cloud.
Can I use ClickHouse for free?
Both have a free tier, so you can try either at no cost before committing.
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 Preset is typically brought in for.
What can ClickHouse do that Preset cannot?
ClickHouse covers Column-oriented Storage, Real-time Analytics, SQL Support, Linear Scalability. Preset covers Managed Superset, Auto-scaling, Enterprise Security, Custom Branding. Both handle PostgreSQL, Web support.

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
Preset: Is Preset free?

Preset offers a free tier for small teams called Starter with 5 users and no credit card required. Paid plans start at $25 per user per month.

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
Preset: Can I export my data from Preset?

Yes. Preset uses Apache Superset and the founders contribute over 75% of commits to the open-source project, enabling migration to Superset without vendor lock-in.

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
Preset: Does Preset include embedded analytics?

Yes. Embedded dashboards are available on Professional and Enterprise plans, with viewer licenses starting at $500 per month for 50 licenses.

Source
Preset: What is the enterprise pricing for Preset?

Enterprise plans are custom quoted. The median buyer pays $35,495 per year.

Source
Preset: Does Preset support AI-powered analytics?

Yes. As of 2026, Preset includes an AI Chatbot and MCP (Model Context Protocol) integration for building charts and dashboards via natural language.

Source
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