Softwr

APIs · head to head

Hoppscotch vs StarRocks

Hoppscotch logo

Hoppscotch

APIs

Open-source API development ecosystem with web-based REST client

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: Hoppscotch open-source project with no published commercial support plans or pricing; 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: Hoppscotch covers REST Client, StarRocks covers Cost-based optimiser.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Hoppscotch and StarRocks actually diverge.

Attributes where Hoppscotch and StarRocks differ
AttributeHoppscotchStarRocks
Pricing modelfreemiumOpen source, no licence fee
PlatformsWeb, Desktop, Self-hostedLinux, Docker, Kubernetes
CategoryAPIsDatabases
Founded2019Unknown

Identical on both: starting price (Free), 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 Hoppscotch

  • REST Client
  • WebSocket
  • gRPC Client
  • GitHub
  • Documentation tools
  • CI/CD
  • Web support
  • Desktop support

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.

Hoppscotch

  • API Developmentnot StarRocks
  • API Gatewaynot StarRocks
  • API Testingnot StarRocks
  • API Documentationnot StarRocks
  • Microservicesnot StarRocks

StarRocks

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

Where each one falls short

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

Hoppscotch

  • Open-source project with no published commercial support plans or pricing
  • No official enterprise tier or SLA information disclosed

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

Hoppscotch

Free
  • Open SourceFree
    • Full REST client
    • WebSocket support
    • Community
  • Teams$8/monthly
    • Team collaboration
    • Cloud sync
    • Priority 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 Hoppscotch if

  • You need rest client.
  • You want to start without paying.
  • You work on Web, Desktop, Self-hosted.
  • You also want websocket.
Hoppscotch 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 Hoppscotch or StarRocks better?
Neither clearly leads. Hoppscotch 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, Hoppscotch or StarRocks?
Hoppscotch starts at Free and StarRocks at Free.
Does Hoppscotch or StarRocks run on more platforms?
Hoppscotch runs on Web, Desktop, Self-hosted. StarRocks runs on Linux, Docker, Kubernetes.
Can I use Hoppscotch for free?
Both have a free tier, so you can try either at no cost before committing.
What is Hoppscotch best used for?
Hoppscotch is most often used for api development, api gateway, api testing, api documentation. Of those, api development and api gateway are not what StarRocks is typically brought in for.
What can Hoppscotch do that StarRocks cannot?
Hoppscotch covers REST Client, WebSocket, gRPC Client, GitHub. StarRocks covers Cost-based optimiser, Lakehouse query engine, Primary key tables, Materialised views.

Answered from the vendors’ own pages

Hoppscotch: Is Hoppscotch free to use for API development?

Yes, Hoppscotch is a completely free, open-source API development ecosystem. There are no subscription fees, license costs, or registration requirements to access the core platform.

Source
StarRocks: Is StarRocks open source?

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

Hoppscotch: Can I deploy Hoppscotch on my own infrastructure?

As an open-source project, Hoppscotch can be self-hosted and deployed on your own infrastructure. The source code is available for customization and deployment in private environments.

Source
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.

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.

Share

Related pages

More on Hoppscotch

More on StarRocks

Keep looking

Other head to heads