Softwr

Databases · head to head

Apache Doris vs Daytona

Apache Doris logo

Apache Doris

Databases

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

From
Free
Free plan
Yes
Visit Apache DorisFull review
Daytona logo

Daytona

Developer Tools

Infrastructure for spinning up secure, sub-second sandboxes to run AI-generated code

From
Free
Free plan
Yes
Visit DaytonaFull review

The short version

  • Apache Doris is free; Daytona starts at $0.0504/mo.
  • Only Apache Doris lists MySQL wire protocol; only Daytona lists sub-second sandbox creation.
  • Where Daytona falls short: pricing is purely usage-based with no flat monthly plan, which can make costs harder to predict for steady workloads.
  • Prices and features on this page were last checked on 31 August 2026.

Where they differ

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

Attributes where Apache Doris and Daytona differ
AttributeApache DorisDaytona
Pricing modelOpen source, no licence feeUsage-based
PlatformsLinux, Self-hostedWeb, Linux, Windows, API
CategoryDatabasesDeveloper Tools

Identical on both: starting price (Free), free tier (Yes).

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 Daytona

  • Sub-second sandbox creation
  • Per-second billing
  • GPU instances
  • Windows OS support
  • Enterprise BYOC

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

Daytona

  • Running AI agent-generated code in a disposable, isolated sandboxnot Apache Doris
  • Executing untrusted user code for a coding platformnot Apache Doris
  • Running GPU workloads on demand without provisioning dedicated serversnot Apache Doris
  • Testing Windows-specific code paths in a sandboxnot 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

Daytona

  • Pricing is purely usage-based with no flat monthly plan, which can make costs harder to predict for steady workloads
  • GPU instances are priced separately and can be significantly more expensive than standard compute for AI-heavy use cases
  • Enterprise features like SSO, audit logs, and BYOC are only available by contacting sales rather than self-serve

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

Daytona

Free
  • Pay-as-you-goOn request
    • $0.0504 per vCPU/hour
    • $0.0162 per GiB memory/hour
    • $0.000108 per GiB storage/hour after 5 free GiB
  • Startup ProgramOn request
    • Up to $50,000 in free credits for qualifying startups
  • EnterpriseOn request
    • Custom usage limits
    • SSO
    • Audit logs

Which should you pick?

Choose Apache Doris if

  • You need mysql wire protocol.
  • You want to start without paying.
  • You work on Linux, Self-hosted.
  • You also want aggregate and unique key models.
Apache Doris review

Choose Daytona if

  • You need sub-second sandbox creation.
  • You want to start without paying.
  • You work on Web, Linux, Windows, API.
  • You also want per-second billing.
Daytona review

Questions people ask

Is Apache Doris or Daytona better?
Neither clearly leads. Apache Doris starts at Free and Daytona at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Apache Doris or Daytona?
Apache Doris starts at Free and Daytona at Free.
Does Apache Doris or Daytona run on more platforms?
Apache Doris runs on Linux, Self-hosted. Daytona runs on Web, Linux, Windows, API.
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 Daytona is typically brought in for.
What can Apache Doris do that Daytona cannot?
Apache Doris covers MySQL wire protocol, Aggregate and unique key models, Materialised views, Multi-catalogue federation. Daytona covers Sub-second sandbox creation, Per-second billing, GPU instances, Windows OS support.

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.

Daytona: How is Daytona usage metered?

Usage is billed per second across vCPU, memory, and storage consumed, with separate per-hour rates for GPU and Windows instances.

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.

Daytona: Is there a free plan, and what are its limits?

There is no flat free plan, but new signups receive $200 in free compute credit with no credit card required to start.

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.

Daytona: Are discounts available for startups?

Yes, the Startup Program offers up to $50,000 in free credits for qualifying companies.

Source
Apache Doris: Who maintains it?

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

Share

Related pages

More on Apache Doris

More on Daytona

Keep looking

Other head to heads