Databases · head to head
Apache Doris vs StackBlitz

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

StackBlitz
Developer Tools
Browser-based IDE and AI app builder running full Node.js stacks via WebContainers
- From
- Free
- Free plan
- Yes
The short version
- Both are free.
- Only Apache Doris lists MySQL wire protocol; only StackBlitz lists bolt.new AI app builder.
- Where StackBlitz falls short: specific Teams and Enterprise pricing figures are not published; visitors must request a quote or infer from the pricing calculator.
- Prices and features on this page were last checked on 31 August 2026.
Where they differ
Only the attributes on which Apache Doris and StackBlitz actually diverge.
| Attribute | Apache Doris | StackBlitz |
|---|---|---|
| Pricing model | Open source, no licence fee | Freemium |
| Platforms | Linux, Self-hosted | Web |
| Category | Databases | Developer 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 StackBlitz
- WebContainers
- Bolt.new AI app builder
- Instant boot times
- GitHub project import
- Team collaboration
- Offline functionality
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 StackBlitz
- A real-time dashboard backend needing sub-second aggregation over billions of rows with hundreds of concurrent usersnot StackBlitz
- An ad or ecommerce platform that needs updates and deletes on analytical tables, which append-only OLAP engines handle badlynot StackBlitz
- A data team that wants one SQL endpoint over both internal tables and existing Hive or Iceberg tables in the lakenot StackBlitz
StackBlitz
- Editing a GitHub repository instantly in the browser without cloning itnot Apache Doris
- Generating a working web app from a text prompt with Bolt.newnot Apache Doris
- Sharing private projects across a team without individual GitHub seats for viewersnot Apache Doris
- Running lightweight Node.js projects with no local setupnot 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
StackBlitz
- Specific Teams and Enterprise pricing figures are not published; visitors must request a quote or infer from the pricing calculator
- Browser-based execution via WebContainers has limits on which native/binary dependencies can run compared to a real server-backed environment
- Heavy or resource-intensive workloads may be constrained by the end user's own browser and machine resources
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
StackBlitz
Free- PersonalFree
- Unlimited public projects, collections, and GitHub repositories
- View and edit without a GitHub account
- TeamsOn request
- Private collections and repositories for paid members
- Free and paid member roles
- Automatic permission mirroring for org-owned repositories
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.
Choose StackBlitz if
- You need webcontainers.
- You want to start without paying.
- You also want bolt.new ai app builder.
Questions people ask
- Is Apache Doris or StackBlitz better?
- Neither clearly leads. Apache Doris starts at Free and StackBlitz at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Apache Doris or StackBlitz?
- Apache Doris starts at Free and StackBlitz at Free.
- Does Apache Doris or StackBlitz run on more platforms?
- Apache Doris runs on Linux, Self-hosted. StackBlitz runs on Web.
- 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 StackBlitz is typically brought in for.
- What can Apache Doris do that StackBlitz cannot?
- Apache Doris covers MySQL wire protocol, Aggregate and unique key models, Materialised views, Multi-catalogue federation. StackBlitz covers WebContainers, Bolt.new AI app builder, Instant boot times, GitHub project import.
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.
StackBlitz: Is there a free plan, and what are its limits?
Yes, the free Personal plan includes unlimited public StackBlitz projects, collections, and GitHub repositories, and lets anyone view and edit projects without needing a GitHub account.
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.
StackBlitz: What does the Teams plan add?
Teams lets GitHub organizations add free or paid members; paid members get access to private collections and repositories, with permissions mirrored from GitHub-owned repos.
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.
StackBlitz: Is there an Enterprise option?
Yes, custom Enterprise plans are available and require contacting StackBlitz directly.
SourceApache Doris: Who maintains it?
The Apache Software Foundation project, with most committers employed by VeloDB or SelectDB.
Related pages
More on Apache Doris
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- StackBlitz vs ClickHouse
- StackBlitz vs StarRocks
- StackBlitz vs Tinybird
- StackBlitz vs DuckDB
- StackBlitz vs Firebolt
- StackBlitz vs Amazon Redshift
- StackBlitz vs TiDB
- StackBlitz vs Trino
- StackBlitz vs BigQuery
- StackBlitz vs Canary Labs
- StackBlitz vs Dragonfly
- StackBlitz vs Dremio
- StackBlitz vs Vitess
- StackBlitz vs Aiven
- StackBlitz vs CosmosDB
- StackBlitz vs DataStax
- StackBlitz vs dbt
- StackBlitz vs EMQX
- StackBlitz vs CodeSandbox
- StackBlitz vs Ona (formerly Gitpod)
- StackBlitz vs Coder
- StackBlitz vs Deep Code
- StackBlitz vs GitHub Copilot
- StackBlitz vs LaunchDarkly
- StackBlitz vs Moonrepo
- StackBlitz vs Swagger UI
- StackBlitz vs PartyKit
- StackBlitz vs Pieces for Developers
- StackBlitz vs Refact
- StackBlitz vs Depot
- StackBlitz vs ConfigCat
- StackBlitz vs Cortex
- StackBlitz vs Dagger
- StackBlitz vs Deno
- StackBlitz vs Envoy
- StackBlitz vs Fig
