Databases · head to head
Apache Doris vs DataStax

Apache Doris
Databases
MPP analytical database with a MySQL wire protocol and sub-second aggregation on wide tables
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Apache Doris two competing commercial vendors, VeloDB and SelectDB, were founded by overlapping core contributors, which makes the long-term governance and roadmap of the project harder to predict than a single-sponsor project.; DataStax dataStax's own Astra DB documentation states the Enterprise plan is an annual, contract-based plan with negotiated pricing, meaning list prices are not published for that tier
- They diverge on capability: Apache Doris covers MySQL wire protocol, DataStax covers Cassandra Compatible.
- Prices and features above were last checked on 31 August 2026.
Where they differ
Only the attributes on which Apache Doris and DataStax actually diverge.
| Attribute | Apache Doris | DataStax |
|---|---|---|
| Pricing model | Open source, no licence fee | freemium |
| Platforms | Linux, Docker, Kubernetes | Web, Aws, Azure, Gcp |
| Founded | Unknown | 2010 |
Identical on both: starting price (Free), free tier (Yes), 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 Apache Doris
- MySQL wire protocol
- Aggregate and unique key models
- Materialised views
- Multi-catalogue federation
- Routine load from Kafka
- Compute storage separation
- Inverted indexes
- Workload groups
Only in DataStax
- Cassandra Compatible
- Vector Search
- Serverless
- Multi-cloud
- Streaming
- CDC
- GraphQL API
- LangChain
What people use each for
The jobs each tool is most often brought in to do.
Apache Doris
- A team whose MySQL read replica can no longer serve reporting queries and wants an OLAP engine its existing drivers already speaknot DataStax
- A real-time dashboard backend needing sub-second aggregation over billions of rows with hundreds of concurrent usersnot DataStax
- An ad or ecommerce platform that needs updates and deletes on analytical tables, which append-only OLAP engines handle badlynot DataStax
- A data team that wants one SQL endpoint over both internal tables and existing Hive or Iceberg tables in the lakenot DataStax
DataStax
- Real-time applicationsnot Apache Doris
- Content managementnot Apache Doris
- User profilesnot Apache Doris
- Mobile backendsnot Apache Doris
- Cachingnot Apache Doris
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Apache Doris
- Two competing commercial vendors, VeloDB and SelectDB, were founded by overlapping core contributors, which makes the long-term governance and roadmap of the project harder to predict than a single-sponsor project.
- A large share of design discussion, issue reports and documentation detail originates in Chinese, so teams that do not read it get a thinner picture of known problems and workarounds.
- Operating a cluster means managing frontend and backend node roles, tablet balancing and compaction tuning, and compaction backlogs under heavy upsert load are a recurring production complaint.
- The MySQL protocol compatibility is at the wire level, not full MySQL semantics, so queries and functions still need porting and the familiarity can mislead.
- Managed cloud availability outside China and major clouds is limited compared with ClickHouse or Snowflake, so many Western adopters end up self-hosting whether they wanted to or not.
DataStax
- DataStax's own Astra DB documentation states the Enterprise plan is an annual, contract-based plan with negotiated pricing, meaning list prices are not published for that tier
- DataStax's Astra DB documentation directs Standard plan customers to IBM's watsonx.data pricing for exact consumption-based rates following the DataStax/IBM deal, rather than publishing them on DataStax's own site
Pricing, plan by plan
Apache Doris
Free- Apache DorisFree
- Apache 2.0 licence with no usage restrictions
- All engine features included
- Community support via mailing list and Slack
DataStax
Free- FreeFree
- 5GB storage
- 40M read/write ops
- Vector search
- Pay As You GoFree
- Usage-based pricing
- Multi-region
- Enterprise support
Which should you pick?
Choose Apache Doris if
- You need mysql wire protocol.
- You want to start without paying.
- You work on Linux, Docker, Kubernetes.
- You also want aggregate and unique key models.
Choose DataStax if
- You need cassandra compatible.
- You want to start without paying.
- You work on Web, Aws, Azure, Gcp.
- You also want vector search.
Questions people ask
- Is Apache Doris or DataStax better?
- Neither clearly leads. Apache Doris starts at Free and DataStax at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Apache Doris or DataStax?
- Apache Doris starts at Free and DataStax at Free.
- Does Apache Doris or DataStax run on more platforms?
- Apache Doris runs on Linux, Docker, Kubernetes. DataStax runs on Web, Aws, Azure, Gcp.
- Can I use Apache Doris for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Apache Doris best used for?
- Apache Doris is most often used for a team whose mysql read replica can no longer serve reporting queries and wants an olap engine its existing drivers already speak, a real-time dashboard backend needing sub-second aggregation over billions of rows with hundreds of concurrent users, an ad or ecommerce platform that needs updates and deletes on analytical tables, which append-only olap engines handle badly, a data team that wants one sql endpoint over both internal tables and existing hive or iceberg tables in the lake. Of those, a team whose mysql read replica can no longer serve reporting queries and wants an olap engine its existing drivers already speak and a real-time dashboard backend needing sub-second aggregation over billions of rows with hundreds of concurrent users are not what DataStax is typically brought in for.
- What can Apache Doris do that DataStax cannot?
- Apache Doris covers MySQL wire protocol, Aggregate and unique key models, Materialised views, Multi-catalogue federation. DataStax covers Cassandra Compatible, Vector Search, Serverless, Multi-cloud.
Answered from the vendors’ own pages
Apache Doris: Is Apache Doris really free?
Yes, it is Apache 2.0 with no usage restrictions. The commercial products are managed services from VeloDB and SelectDB.
DataStax: Is DataStax available as a managed service?
Yes, DataStax is available as Astra DB, a managed database service. Users can sign up for Astra DB directly to create accounts and access the platform.
SourceApache Doris: Can I use my MySQL tools with it?
Yes, it implements the MySQL wire protocol, so clients and BI connectors attach without a new driver, though SQL semantics differ.
DataStax: How is DataStax priced?
DataStax (now part of IBM) does not publish pricing on its documentation homepage. Pricing information would need to be obtained through the Astra DB signup page or by contacting IBM directly.
SourceApache Doris: How does it compare with ClickHouse?
Doris handles updates and high concurrency more comfortably; ClickHouse is generally faster on raw single-query scan throughput and has far wider Western support.
DataStax: Is there an enterprise licensing option?
DataStax is now part of IBM. Enterprise customers should contact IBM directly for licensing agreements and enterprise-specific pricing.
SourceApache Doris: Who maintains it?
The Apache Software Foundation project, with most committers employed by VeloDB or SelectDB.
DataStax: Can I try DataStax without an account?
To use DataStax Astra DB, account creation is required. The documentation does not mention a free trial or demonstration environment that does not require signup.
SourceRelated pages
More on Apache Doris
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- DataStax vs ClickHouse
- DataStax vs StarRocks
- DataStax vs Tinybird
- DataStax vs DuckDB
- DataStax vs Firebolt
- DataStax vs Amazon Redshift
- DataStax vs TiDB
- DataStax vs BigQuery
- DataStax vs Canary Labs
- DataStax vs Dragonfly
- DataStax vs Dremio
- DataStax vs Readyset
- DataStax vs Fivetran HVR
- DataStax vs Grist
- DataStax vs IBM Db2
- DataStax vs Instaclustr
- DataStax vs Knack
- DataStax vs LanceDB
- DataStax vs Amazon Aurora
- DataStax vs Cockroach Labs
- DataStax vs Airtable
- DataStax vs PostgreSQL
- DataStax vs Materialize
- DataStax vs ScyllaDB
- DataStax vs Zilliz
- DataStax vs Google Cloud SQL
- DataStax vs CosmosDB
- DataStax vs turbopuffer
- DataStax vs VerneMQ
- DataStax vs Vespa
- DataStax vs Xata
- DataStax vs YugabyteDB
- DataStax vs Amazon RDS

