Databases · head to head
Apache Doris vs Tinybird

Apache Doris
Databases
MPP analytical database with a MySQL wire protocol and sub-second aggregation on wide tables
- From
- Free
- Rated
- -

Tinybird
Databases
Managed ClickHouse with a workflow that turns SQL queries into hosted HTTP APIs
- 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.; Tinybird it is ClickHouse underneath, so it inherits ClickHouse limits: multi-table joins degrade badly at scale, updates and deletes are expensive mutations rather than cheap operations, and a poorly chosen sorting key at table creation cannot be fixed without rebuilding the data.
- They diverge on capability: Apache Doris covers MySQL wire protocol, Tinybird covers Managed ClickHouse.
- Prices and features above were last checked on 31 August 2026.
Where they differ
Only the attributes on which Apache Doris and Tinybird actually diverge.
| Attribute | Apache Doris | Tinybird |
|---|---|---|
| Pricing model | Open source, no licence fee | Per month by compute and storage |
| Platforms | Linux, Docker, Kubernetes | Web, Cloud, Linux, macOS |
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 Tinybird
- Managed ClickHouse
- Pipes as APIs
- Events HTTP endpoint
- Streaming connectors
- Materialized views
- Git-based workflow
- Token-scoped auth
- Observability
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 Tinybird
- A real-time dashboard backend needing sub-second aggregation over billions of rows with hundreds of concurrent usersnot Tinybird
- An ad or ecommerce platform that needs updates and deletes on analytical tables, which append-only OLAP engines handle badlynot Tinybird
- A data team that wants one SQL endpoint over both internal tables and existing Hive or Iceberg tables in the lakenot Tinybird
Tinybird
- A SaaS product adding a per-customer usage dashboard that must render in under a second across billions of eventsnot Apache Doris
- A team building rate limiting or fraud checks that need an aggregate over the last few minutes returned inside a request cyclenot Apache Doris
- A data team offloading interactive operational dashboards from Snowflake, where per-query warehouse cost makes constant refresh untenablenot Apache Doris
- A game or ad-tech company ingesting a high-volume event stream and exposing live counters back to customers through an APInot 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.
Tinybird
- It is ClickHouse underneath, so it inherits ClickHouse limits: multi-table joins degrade badly at scale, updates and deletes are expensive mutations rather than cheap operations, and a poorly chosen sorting key at table creation cannot be fixed without rebuilding the data.
- Compute is metered per vCPU-second with overage at 0.0002 USD per second, so an inefficient query shipped to production shows up directly on the invoice rather than merely running slowly.
- Only the Enterprise tier gets horizontal scaling and dedicated infrastructure; Free, Developer and SaaS all run on shared infrastructure with vertical scaling only, which caps both isolation and headroom for anyone not on a custom contract.
- Storage is billed at 0.058 USD per gigabyte on top of compute, and egress is charged separately at 0.01 USD per gigabyte intra-cloud and 0.10 USD inter-cloud, so a high-fanout API serving many small responses accrues costs in three places at once.
- You are building on a proprietary workflow around an open database: the pipes, tokens and API layer are Tinybird specific, so leaving means keeping your data but rewriting the entire serving layer you adopted Tinybird to avoid writing.
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
Tinybird
Free- FreeFree
- 0.25 vCPU on shared infrastructure
- 10 GB storage included
- 1,000 requests per day
- Developer$25/month
- 0.5 vCPU scaling to 8 vCPU
- 25 GB storage included
- Two replicas
- SaaS$undefined/month
- Up to 32 vCPU
- 500 GB storage included
- Four to sixteen threads per request
- Enterprise$undefined/year
- Unlimited vCPU and bottomless storage
- Dedicated infrastructure and private regions
- Vertical and horizontal scaling
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 Tinybird if
- You need managed clickhouse.
- You want to start without paying.
- You work on Web, Cloud, Linux, macOS.
- You also want pipes as apis.
Questions people ask
- Is Apache Doris or Tinybird better?
- Neither clearly leads. Apache Doris starts at Free and Tinybird at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Apache Doris or Tinybird?
- Apache Doris starts at Free and Tinybird at Free.
- Does Apache Doris or Tinybird run on more platforms?
- Apache Doris runs on Linux, Docker, Kubernetes. Tinybird runs on Web, Cloud, Linux, macOS.
- 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 Tinybird is typically brought in for.
- What can Apache Doris do that Tinybird cannot?
- Apache Doris covers MySQL wire protocol, Aggregate and unique key models, Materialised views, Multi-catalogue federation. Tinybird covers Managed ClickHouse, Pipes as APIs, Events HTTP endpoint, Streaming connectors.
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.
Tinybird: Is Tinybird just hosted ClickHouse?
No. The database is ClickHouse, but the product is the layer above it: publishing parameterised SQL as authenticated, rate-limited REST endpoints without writing an API server.
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.
Tinybird: What does it actually cost?
Free tier at 1,000 requests a day, Developer from 25 USD a month, then compute at 0.0002 USD per vCPU-second and storage at 0.058 USD per gigabyte. Higher tiers are quoted.
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.
Tinybird: Can I run it on my own infrastructure?
Only on Enterprise, which offers dedicated infrastructure and private regions. Lower tiers are shared multi-tenant cloud.
Apache Doris: Who maintains it?
The Apache Software Foundation project, with most committers employed by VeloDB or SelectDB.
Tinybird: Does it handle updates and deletes?
Poorly, as ClickHouse does. Design for append-only event data; frequent mutation is the wrong workload for this engine.
Related pages
More on Apache Doris
Other head to heads
- Apache Doris vs ClickHouse
- Apache Doris vs StarRocks
- Apache Doris vs DuckDB
- Apache Doris vs Firebolt
- Apache Doris vs Amazon Redshift
- Apache Doris vs TiDB
- Apache Doris vs BigQuery
- Apache Doris vs Canary Labs
- Apache Doris vs Dragonfly
- Apache Doris vs Dremio
- Apache Doris vs Readyset
- Apache Doris vs Fivetran HVR
- Apache Doris vs Grist
- Apache Doris vs IBM Db2
- Apache Doris vs Instaclustr
- Apache Doris vs Knack
- Apache Doris vs LanceDB
- Apache Doris vs Apache Pinot
- Apache Doris vs Materialize
- Apache Doris vs RisingWave
- Apache Doris vs Estuary
- Apache Doris vs Typesense
- Apache Doris vs Timeplus
- Apache Doris vs Meilisearch
- Apache Doris vs SingleStore
- Apache Doris vs SurrealDB
- Apache Doris vs Teradata
- Apache Doris vs TIBCO Enterprise Message Service
- Apache Doris vs turbopuffer
- Apache Doris vs VerneMQ
- Apache Doris vs Apache Druid
- Tinybird vs ClickHouse
- Tinybird vs StarRocks
- Tinybird vs DuckDB
- Tinybird vs Firebolt
- Tinybird vs Amazon Redshift
- Tinybird vs TiDB
- Tinybird vs BigQuery
- Tinybird vs Canary Labs
- Tinybird vs Dragonfly
- Tinybird vs Dremio
- Tinybird vs Readyset
- Tinybird vs Fivetran HVR
- Tinybird vs Grist
- Tinybird vs IBM Db2
- Tinybird vs Instaclustr
- Tinybird vs Knack
- Tinybird vs LanceDB
- Tinybird vs Apache Pinot
- Tinybird vs Materialize
- Tinybird vs RisingWave
- Tinybird vs Estuary
- Tinybird vs Typesense
- Tinybird vs Timeplus
- Tinybird vs Meilisearch
- Tinybird vs SingleStore
- Tinybird vs SurrealDB
- Tinybird vs Teradata
- Tinybird vs TIBCO Enterprise Message Service
- Tinybird vs turbopuffer
- Tinybird vs VerneMQ
- Tinybird vs Apache Druid
