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Web Development · head to head

Rollup vs StarRocks

Rollup logo

Rollup

Web Development

JavaScript module bundler built for libraries

From
Free
Rated
-
Full reviewWebsite
StarRocks logo

StarRocks

Databases

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

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Rollup slower than the Go and Rust bundlers that followed it, since it is written in JavaScript; 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.
  • They diverge on capability: Rollup covers Tree shaking, StarRocks covers Cost-based optimiser.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Rollup and StarRocks actually diverge.

Attributes where Rollup and StarRocks differ
AttributeRollupStarRocks
PlatformsLinux, macOS, WindowsLinux, Docker, Kubernetes
CategoryWeb DevelopmentDatabases

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 Rollup

  • Tree shaking
  • Clean output
  • Multiple output formats
  • Plugin API

Only in StarRocks

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

What people use each for

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

Rollup

  • Publishing a JavaScript library in several module formatsnot StarRocks
  • Builds where output size and cleanliness matter more than build speednot StarRocks
  • Producing ES module output for consumers who will bundle it themselvesnot StarRocks

StarRocks

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

Where each one falls short

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

Rollup

  • Slower than the Go and Rust bundlers that followed it, since it is written in JavaScript
  • Application concerns like dev servers and hot reloading are not its job, so app builds need Vite on top
  • Configuration for non-trivial applications gets verbose compared with tools that assume more

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.

Pricing, plan by plan

Rollup

Free
  • RollupFree
    • Full functionality
    • Commercial use permitted
    • Community support

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

Which should you pick?

Choose Rollup if

  • You need tree shaking.
  • You want to start without paying.
  • You work on Linux, macOS, Windows.
  • You also want clean output.
Rollup review

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

Questions people ask

Is Rollup or StarRocks better?
Neither clearly leads. Rollup starts at Free and StarRocks at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Rollup or StarRocks?
Rollup starts at Free and StarRocks at Free.
Does Rollup or StarRocks run on more platforms?
Rollup runs on Linux, macOS, Windows. StarRocks runs on Linux, Docker, Kubernetes.
Can I use Rollup for free?
Both have a free tier, so you can try either at no cost before committing.
What is Rollup best used for?
Rollup is most often used for publishing a javascript library in several module formats, builds where output size and cleanliness matter more than build speed, producing es module output for consumers who will bundle it themselves. Of those, publishing a javascript library in several module formats and builds where output size and cleanliness matter more than build speed are not what StarRocks is typically brought in for.
What can Rollup do that StarRocks cannot?
Rollup covers Tree shaking, Clean output, Multiple output formats, Plugin API. StarRocks covers Cost-based optimiser, Lakehouse query engine, Primary key tables, Materialised views.

Answered from the vendors’ own pages

Rollup: Is Rollup free?

Yes, open source under the MIT licence.

StarRocks: Is StarRocks open source?

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

Rollup: Rollup or webpack?

Rollup is the usual choice for libraries thanks to cleaner output and better tree shaking. webpack remains stronger for complex applications with heavy asset handling.

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.

Rollup: Do I need Rollup if I use Vite?

Not directly. Vite uses Rollup for production builds, so you already benefit from it.

StarRocks: Who maintains it?

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

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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