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Databases · head to head

StarRocks vs Timeplus

StarRocks logo

StarRocks

Databases

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

From
Free
Rated
-
Full reviewWebsite
Timeplus logo

Timeplus

Databases

Streaming SQL engine built on ClickHouse internals, shipping as one small binary

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.; Timeplus proton, the free version, is single-node by design, so any requirement for high availability or horizontal scale forces the commercial licence; the open source edition is a trial in practical terms.
  • They diverge on capability: StarRocks covers Cost-based optimiser, Timeplus covers Streaming SQL.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which StarRocks and Timeplus actually diverge.

Attributes where StarRocks and Timeplus differ
AttributeStarRocksTimeplus
Pricing modelOpen source, no licence feePer month for cloud, quoted for self-hosted
PlatformsLinux, Docker, KubernetesLinux, macOS, Docker, Kubernetes, Web

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 StarRocks

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

Only in Timeplus

  • Streaming SQL
  • Unified streaming and historical
  • ClickHouse-based engine
  • Single binary deployment
  • External streams

Both cover

  • Materialised views

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 Timeplus
  • Querying an Iceberg lakehouse directly without copying data into a proprietary warehouse formatnot Timeplus
  • Replacing a ClickHouse deployment that has become unmanageable because every new question needs another denormalised tablenot Timeplus
  • Real-time analytics fed by change data capture where rows must be updated in place rather than appendednot Timeplus

Timeplus

  • Real-time alerting on Kafka topics where standing up a Flink cluster is more work than the use case justifiesnot StarRocks
  • Fraud or anomaly detection that must join a live event stream against recent history in one querynot StarRocks
  • Streaming ETL from Kafka or MySQL change data capture into ClickHouse without writing Javanot StarRocks
  • A small data team that needs continuous aggregation but has no platform engineers to operate JVM infrastructurenot 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.

Timeplus

  • Proton, the free version, is single-node by design, so any requirement for high availability or horizontal scale forces the commercial licence; the open source edition is a trial in practical terms.
  • It is a young project against Apache Flink’s decade of production history, so the hiring pool, the connector library and the body of known failure modes are all much smaller.
  • Inheriting ClickHouse internals also inherits ClickHouse constraints: memory-hungry queries, awkward updates and a SQL dialect that is not portable to other engines.
  • Exactly-once semantics and state recovery guarantees are less battle-tested than Flink checkpointing, which matters if the pipeline moves money.
  • Cloud pricing is by provisioned instance size rather than usage, so a bursty workload pays for peak capacity around the clock or has to be resized by hand.

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

Timeplus

Free
  • Timeplus ProtonFree
    • Apache 2.0 licence
    • Single node only
    • Full streaming SQL engine
  • Timeplus Cloud$199/month
    • One to thirty-two CPUs
    • 4 GB to 128 GB memory
    • From 250 GB SSD storage
  • Self-hosted or BYOC$undefined/year
    • Multi-node clustering
    • Kubernetes or bare metal
    • Customisable compute and storage

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 Timeplus if

  • You need streaming sql.
  • You want to start without paying.
  • You work on Linux, macOS, Docker, Kubernetes, Web.
  • You also want unified streaming and historical.
Timeplus review

Questions people ask

Is StarRocks or Timeplus better?
Neither clearly leads. StarRocks starts at Free and Timeplus at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, StarRocks or Timeplus?
StarRocks starts at Free and Timeplus at Free.
Does StarRocks or Timeplus run on more platforms?
StarRocks runs on Linux, Docker, Kubernetes. Timeplus runs on Linux, macOS, Docker, Kubernetes, Web.
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 Timeplus is typically brought in for.
What can StarRocks do that Timeplus cannot?
StarRocks covers Cost-based optimiser, Lakehouse query engine, Primary key tables, Shared-data mode. Timeplus covers Streaming SQL, Unified streaming and historical, ClickHouse-based engine, Single binary deployment. Both handle Materialised views.

Answered from the vendors’ own pages

StarRocks: Is StarRocks open source?

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

Timeplus: Is Timeplus open source?

The core engine, Timeplus Proton, is Apache 2.0. Timeplus Enterprise and Cloud are commercial.

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.

Timeplus: What is the difference from Flink?

Timeplus is one binary with SQL as the only interface; Flink is a JVM cluster with a Java and SQL API and far more operational surface.

StarRocks: Who maintains it?

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

Timeplus: Can Proton run in production?

It can, but it is single-node only, so there is no high availability without the commercial edition.

StarRocks: Can it query Iceberg tables directly?

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

Timeplus: How much is the cloud?

From 199 US dollars a month, sized by CPU and memory, with a fourteen day trial.

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