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Databases · head to head

Apache Doris vs YugabyteDB

Apache Doris logo

Apache Doris

Databases

MPP analytical database with a MySQL wire protocol and sub-second aggregation on wide tables

From
Free
Rated
-
Full reviewWebsite
YugabyteDB logo

YugabyteDB

Databases

Open source distributed SQL database for cloud native apps

From
Free
Rated
-
Full reviewWebsite

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.; YugabyteDB missing PostgreSQL functions and extensions despite claiming compatibility
  • They diverge on capability: Apache Doris covers MySQL wire protocol, YugabyteDB covers PostgreSQL Compatible.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Apache Doris and YugabyteDB actually diverge.

Attributes where Apache Doris and YugabyteDB differ
AttributeApache DorisYugabyteDB
Pricing modelOpen source, no licence feeUnknown
PlatformsLinux, Docker, KubernetesCloud, On-premises, Kubernetes
FoundedUnknown2016

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 YugabyteDB

  • PostgreSQL Compatible
  • Distributed SQL
  • Geo-distribution
  • Linear Scalability
  • High Availability
  • ACID Transactions
  • CDC Support
  • PostgreSQL

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 YugabyteDB
  • A real-time dashboard backend needing sub-second aggregation over billions of rows with hundreds of concurrent usersnot YugabyteDB
  • An ad or ecommerce platform that needs updates and deletes on analytical tables, which append-only OLAP engines handle badlynot YugabyteDB
  • A data team that wants one SQL endpoint over both internal tables and existing Hive or Iceberg tables in the lakenot YugabyteDB

YugabyteDB

  • Transaction processingnot Apache Doris
  • Data storagenot Apache Doris
  • Application backendnot Apache Doris
  • Reportingnot Apache Doris
  • Data analyticsnot 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.

YugabyteDB

  • Missing PostgreSQL functions and extensions despite claiming compatibility
  • Not a true PostgreSQL replacement requiring schema and query compatibility testing before migration
  • Requires careful isolation level management or risk data corruption in production
  • Lacks built-in OLAP capabilities, requiring external systems for analytics
  • Coupled compute and storage scaling reduces optimization flexibility

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

YugabyteDB

Free

No published plan breakdown. See the YugabyteDB review.

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.
Apache Doris review

Choose YugabyteDB if

  • You need postgresql compatible.
  • You want to start without paying.
  • You work on Cloud, On-premises, Kubernetes.
  • You also want distributed sql.
YugabyteDB review

Questions people ask

Is Apache Doris or YugabyteDB better?
Neither clearly leads. Apache Doris starts at Free and YugabyteDB at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Apache Doris or YugabyteDB?
Apache Doris starts at Free and YugabyteDB at Free.
Does Apache Doris or YugabyteDB run on more platforms?
Apache Doris runs on Linux, Docker, Kubernetes. YugabyteDB runs on Cloud, On-premises, Kubernetes.
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 YugabyteDB is typically brought in for.
What can Apache Doris do that YugabyteDB cannot?
Apache Doris covers MySQL wire protocol, Aggregate and unique key models, Materialised views, Multi-catalogue federation. YugabyteDB covers PostgreSQL Compatible, Distributed SQL, Geo-distribution, Linear Scalability.

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.

YugabyteDB: Is YugabyteDB a true drop-in replacement for PostgreSQL?

No, YugabyteDB is PostgreSQL-compatible but not a zero-change drop-in replacement. It requires compatibility testing with queries, stored procedures, and ORM configurations before migration.

Source
Apache 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.

YugabyteDB: What isolation levels does YugabyteDB support?

YugabyteDB allows per-query selection between serializable isolation for critical operations and read-committed for analytics. However, this flexibility requires careful management to avoid accidental data corruption.

Source
Apache 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.

YugabyteDB: Does YugabyteDB support both SQL and NoSQL workloads?

Yes, YugabyteDB offers YSQL for PostgreSQL-compatible SQL and YCQL for Cassandra-like NoSQL workloads, using the same DocDB storage engine to support both simultaneously.

Source
Apache Doris: Who maintains it?

The Apache Software Foundation project, with most committers employed by VeloDB or SelectDB.

YugabyteDB: Can YugabyteDB scale compute and storage independently?

No, YugabyteDB couples compute and storage scaling, unlike TiDB which separates them. This means scaling decisions are less flexible and optimization is more complex.

Source
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