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Databases · head to head

StarRocks vs Zipkin

StarRocks logo

StarRocks

Databases

Apache 2.0 MPP analytical database built for joins on open table formats

From
Free
Rated
-
Full reviewWebsite
Zipkin logo

Zipkin

Cloud

Distributed tracing system for microservice latency

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: StarRocks self-hosting is a genuine operations job: frontend and backend node roles, tablet distribution, compaction and materialised view refresh all need an owner, and there is no small-team-friendly single-binary mode.; Zipkin less active development and smaller community momentum than Jaeger
  • They diverge on capability: StarRocks covers Cost-based optimiser, Zipkin covers Trace collection and search.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which StarRocks and Zipkin actually diverge.

Attributes where StarRocks and Zipkin differ
AttributeStarRocksZipkin
PlatformsLinux, Docker, KubernetesLinux, Docker, Kubernetes, Self-hosted
CategoryDatabasesCloud

Identical on both: starting price (Free), pricing model (Open source, no licence fee), free tier (Yes), user rating (Not yet rated).

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 StarRocks

  • Cost-based optimiser
  • Lakehouse query engine
  • Primary key tables
  • Materialised views
  • Shared-data mode
  • MySQL wire protocol

Only in Zipkin

  • Trace collection and search
  • Dependency diagram
  • Simple deployment
  • Pluggable storage

What people use each for

The jobs each tool is most often brought in to do.

StarRocks

  • Customer-facing analytics where queries join a fact table to several dimensions and must return in well under a secondnot Zipkin
  • Querying an Iceberg lakehouse directly without copying data into a proprietary warehouse formatnot Zipkin
  • Replacing a ClickHouse deployment that has become unmanageable because every new question needs another denormalised tablenot Zipkin
  • Real-time analytics fed by change data capture where rows must be updated in place rather than appendednot Zipkin

Zipkin

  • Adding distributed tracing quickly without standing up heavy infrastructurenot StarRocks
  • Java and Spring Boot estates, where instrumentation support is long-establishednot StarRocks
  • Small deployments where Jaeger is more than the problem requiresnot StarRocks

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

StarRocks

  • Self-hosting is a genuine operations job: frontend and backend node roles, tablet distribution, compaction and materialised view refresh all need an owner, and there is no small-team-friendly single-binary mode.
  • CelerData is by far the dominant contributor despite Linux Foundation stewardship, so the practical roadmap risk is the same as any single-vendor open source project.
  • It inherits a MySQL-flavoured SQL dialect from its Doris ancestry, so queries written for PostgreSQL, Snowflake or Trino need rewriting rather than porting.
  • Ecosystem support is thinner than ClickHouse or Trino: fewer client libraries, fewer managed hosting options and a much smaller pool of engineers who have run it in production.
  • Memory pressure under concurrent large joins is a common production failure, and the tuning knobs for query memory limits are unforgiving compared with a cloud warehouse that just scales.

Zipkin

  • Less active development and smaller community momentum than Jaeger
  • Fewer features: sampling, storage options and UI are all more limited
  • The interface is dated and slower to work with on large trace volumes
  • Tracing alone still leaves metrics and logs in separate tools during an incident

Pricing, plan by plan

StarRocks

Free
  • StarRocksFree
    • Apache 2.0 licence
    • Linux Foundation governance
    • No usage or node limits
  • CelerData Cloud$undefined/year
    • Managed StarRocks from the primary contributor
    • BYOC and serverless deployment options
    • Enterprise support and SLAs

Zipkin

Free
  • ZipkinFree
    • Full functionality
    • No usage limits
    • Community support

Which should you pick?

Choose StarRocks if

  • You need cost-based optimiser.
  • You want to start without paying.
  • You work on Linux, Docker, Kubernetes.
  • You also want lakehouse query engine.
StarRocks review

Choose Zipkin if

  • You need trace collection and search.
  • You want to start without paying.
  • You work on Linux, Docker, Kubernetes, Self-hosted.
  • You also want dependency diagram.
Zipkin review

Questions people ask

Is StarRocks or Zipkin better?
Neither clearly leads. StarRocks starts at Free and Zipkin at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, StarRocks or Zipkin?
StarRocks starts at Free and Zipkin at Free.
Does StarRocks or Zipkin run on more platforms?
StarRocks runs on Linux, Docker, Kubernetes. Zipkin runs on Linux, Docker, Kubernetes, Self-hosted.
Can I use StarRocks for free?
Both have a free tier, so you can try either at no cost before committing.
What is StarRocks best used for?
StarRocks is most often used for customer-facing analytics where queries join a fact table to several dimensions and must return in well under a second, querying an iceberg lakehouse directly without copying data into a proprietary warehouse format, replacing a clickhouse deployment that has become unmanageable because every new question needs another denormalised table, real-time analytics fed by change data capture where rows must be updated in place rather than appended. Of those, customer-facing analytics where queries join a fact table to several dimensions and must return in well under a second and querying an iceberg lakehouse directly without copying data into a proprietary warehouse format are not what Zipkin is typically brought in for.
What can StarRocks do that Zipkin cannot?
StarRocks covers Cost-based optimiser, Lakehouse query engine, Primary key tables, Materialised views. Zipkin covers Trace collection and search, Dependency diagram, Simple deployment, Pluggable storage.

Answered from the vendors’ own pages

StarRocks: Is StarRocks open source?

Yes, Apache 2.0, governed under the Linux Foundation since 2023.

Zipkin: Is Zipkin free?

Yes, open source with no licence fee.

StarRocks: How does it differ from ClickHouse?

StarRocks is built for joins across a star schema with a cost-based optimiser; ClickHouse is fastest on denormalised single tables.

Zipkin: Zipkin or Jaeger?

Jaeger has more momentum, more features and CNCF backing. Zipkin is lighter and quicker to stand up, and remains well supported in the Java and Spring ecosystem.

StarRocks: Who maintains it?

CelerData, formerly StarRocks Inc, is the dominant contributor and sells the managed service.

Zipkin: Does Zipkin work with OpenTelemetry?

Yes. OpenTelemetry can export to Zipkin, which is now the usual way to instrument for it.

StarRocks: Can it query Iceberg tables directly?

Yes, along with Hudi, Delta Lake, Hive and Paimon, with a local cache for repeat queries.

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