Business Intelligence · head to head
Chartio vs ClickHouse

Chartio
Business Intelligence
Cloud-based data exploration (discontinued)
- From
- On request
- Rated
- -

ClickHouse
Databases
Fast open-source column-oriented database for real-time analytics
- From
- Free
- Rated
- -
The short version
- Only ClickHouse has a free tier, so it costs nothing to try first.
- Each has a real cost: Chartio product was discontinued and sunset on March 1, 2022 after company acquisition by Atlassian; ClickHouse limited multi-row atomic transactions and expensive UPDATE/DELETE operations unsuitable for transactional systems
- They diverge on capability: Chartio covers Visual Query Builder, ClickHouse covers Column-oriented Storage.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Chartio and ClickHouse actually diverge.
| Attribute | Chartio | ClickHouse |
|---|---|---|
| Starting price | On request | Free |
| Free tier | No | Yes |
| Platforms | Web | Linux, macOS, Windows (via Docker) |
| Category | Business Intelligence | Databases |
| Founded | 2010 | 2021 |
Identical on both: pricing model (Unknown), 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 Chartio
- Visual Query Builder
- Interactive Dashboards
- Data Blending
- Collaboration
- Embedding
- Redshift
- BigQuery
- Snowflake
Only in ClickHouse
- Column-oriented Storage
- Real-time Analytics
- SQL Support
- Linear Scalability
- Data Compression
- Vectorized Query Execution
- Approximate Calculations
- Kafka
Both cover
- PostgreSQL
- MySQL
- Web support
What people use each for
The jobs each tool is most often brought in to do.
Chartio
- Drag and drop chart building over SQL databasesnot ClickHouse
- Shared business dashboards for non-technical teamsnot ClickHouse
- Exploring warehouse data without writing SQLnot ClickHouse
ClickHouse
- Business intelligencenot Chartio
- Data warehousingnot Chartio
- Real-time analyticsnot Chartio
- Reportingnot Chartio
- Machine learningnot Chartio
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Chartio
- Product was discontinued and sunset on March 1, 2022 after company acquisition by Atlassian
- No current pricing available as service no longer operates
- Users were migrated to alternative Atlassian solutions
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
Pricing, plan by plan
Chartio
On request- DiscontinuedFree
- Service ended March 2022
ClickHouse
FreeNo published plan breakdown. See the ClickHouse 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.
Questions people ask
- Is Chartio or ClickHouse better?
- Neither clearly leads. Chartio starts at On request and ClickHouse at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Chartio or ClickHouse?
- ClickHouse has a free tier; the other does not. Paid plans start at On request for Chartio and Free for ClickHouse.
- Does Chartio or ClickHouse run on more platforms?
- Chartio runs on Web. ClickHouse runs on Linux, macOS, Windows (via Docker).
- Can I use ClickHouse for free?
- Yes. ClickHouse has a free tier, so you can try it without paying. Chartio starts at On request.
- What is Chartio best used for?
- Chartio is most often used for drag and drop chart building over sql databases, shared business dashboards for non-technical teams, exploring warehouse data without writing sql. Of those, drag and drop chart building over sql databases and shared business dashboards for non-technical teams are not what ClickHouse is typically brought in for.
- What can Chartio do that ClickHouse cannot?
- Chartio covers Visual Query Builder, Interactive Dashboards, Data Blending, Collaboration. ClickHouse covers Column-oriented Storage, Real-time Analytics, SQL Support, Linear Scalability. Both handle PostgreSQL, MySQL, Web support.
Answered from the vendors’ own pages
Chartio: Is Chartio still available?
No, Chartio was discontinued on March 1, 2022. The product was acquired by Atlassian and the service was shut down. Users were offered migration to alternative solutions.
SourceClickHouse: 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.
SourceChartio: What should I use instead of Chartio after its discontinuation?
Atlassian, which acquired Chartio, recommends users migrate to other data visualization and business intelligence tools within the Atlassian ecosystem or compatible alternatives.
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.
SourceChartio: Can I still access Chartio's pricing information?
No, historical pricing is not relevant as Chartio ceased operations in March 2022. Any archived pricing information would not reflect current market options.
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.
SourceRelated pages
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