Databases · head to head
ClickHouse vs Preset

ClickHouse
Databases
Fast open-source column-oriented database for real-time analytics
- 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.
| Attribute | ClickHouse | Preset |
|---|---|---|
| Platforms | Linux, macOS, Windows (via Docker) | Web, Cloud |
| Category | Databases | Business Intelligence |
| Founded | 2021 | 2019 |
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
FreeNo published plan breakdown. See the ClickHouse review.
Preset
FreeNo 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.
SourcePreset: 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.
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.
SourcePreset: 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.
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.
SourcePreset: 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.
SourcePreset: What is the enterprise pricing for Preset?
Enterprise plans are custom quoted. The median buyer pays $35,495 per year.
SourcePreset: 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.
SourceRelated pages
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- Preset vs Apache Solr
- Preset vs Power BI
- Preset vs Amazon QuickSight
- Preset vs Domo
- Preset vs Oracle Analytics Cloud
- Preset vs Chartio
- Preset vs Reportz
- Preset vs Snowplow
- Preset vs Yellowfin
- Preset vs Zebra BI
- Preset vs Sisense
- Preset vs MicroStrategy
- Preset vs Qlik Sense
- Preset vs ThoughtSpot
- Preset vs Cube
- Preset vs Pigment
- Preset vs Cyfe
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