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Databases · head to head

Apache Doris vs Dragonfly

Apache Doris logo

Apache Doris

Databases

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

From
Free
Rated
-
Dragonfly logo

Dragonfly

Databases

High-performance Redis-compatible in-memory datastore with 25x better throughput

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.; Dragonfly flex tier starting at $36/month may be underpriced, requiring careful usage monitoring
  • They diverge on capability: Apache Doris covers MySQL wire protocol, Dragonfly covers Redis API compatibility.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

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

Attributes where Apache Doris and Dragonfly differ
AttributeApache DorisDragonfly
Pricing modelOpen source, no licence feeUsage-based cloud pricing with flexible tiers
PlatformsLinux, Docker, KubernetesCloud, AWS, GCP, Azure

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 Dragonfly

  • Redis API compatibility
  • Thread-per-core architecture
  • High-performance caching
  • Memory efficiency
  • Real-time leaderboards
  • Message queue support
  • ML feature serving
  • Cloud deployment

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

Dragonfly

  • High-throughput caching for web applicationsnot Apache Doris
  • Real-time leaderboards and rankingsnot Apache Doris
  • Message queue and event processingnot Apache Doris
  • ML model feature serving at millisecond latenciesnot Apache Doris
  • Gaming session state and player data storagenot 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.

Dragonfly

  • Flex tier starting at $36/month may be underpriced, requiring careful usage monitoring
  • Business tier $2,000/month represents significant jump in cost
  • Limited to in-memory storage, not suitable for cold data or archival
  • Bring-your-own-cloud requirement on Business tier adds operational complexity
  • Cloud availability dependent on AWS/GCP/Azure uptime

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

Dragonfly

Free
  • Free TierFree
    • 100 cloud credits for new signups
    • Equivalent to free trial
  • Business$2000/month
    • Starting price for enterprise offering
    • Bring-your-own-cloud deployment
    • Auto-scaling with custom SLAs
  • Enterprise$undefined/custom
    • Custom pricing
    • Any-cloud deployment
    • Custom instances and sizing

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 Dragonfly if

  • You need redis api compatibility.
  • You want to start without paying.
  • You work on Cloud, AWS, GCP, Azure.
  • You also want thread-per-core architecture.

Questions people ask

Is Apache Doris or Dragonfly better?
Neither clearly leads. Apache Doris starts at Free and Dragonfly at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Apache Doris or Dragonfly?
Apache Doris starts at Free and Dragonfly at Free.
Does Apache Doris or Dragonfly run on more platforms?
Apache Doris runs on Linux, Docker, Kubernetes. Dragonfly runs on Cloud, AWS, GCP, Azure.
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 Dragonfly is typically brought in for.
What can Apache Doris do that Dragonfly cannot?
Apache Doris covers MySQL wire protocol, Aggregate and unique key models, Materialised views, Multi-catalogue federation. Dragonfly covers Redis API compatibility, Thread-per-core architecture, High-performance caching, Memory efficiency.

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.

Dragonfly: How much faster is Dragonfly than Redis?

Dragonfly achieves 3.97M queries per second compared to Redis's 718K QPS, representing a 25x improvement. Memory efficiency is also 30% better.

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.

Dragonfly: Can I migrate from Redis to Dragonfly without code changes?

Yes. Dragonfly maintains full API compatibility with Redis and Memcached, allowing drop-in replacement with minimal to no code modifications.

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.

Apache Doris: Who maintains it?

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

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