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Databases · head to head

DataGrip vs StarRocks

DataGrip logo

DataGrip

Databases

Cross-platform database IDE from JetBrains for SQL and NoSQL databases

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: DataGrip commercial use requires a paid subscription; the free tier is non-commercial only.; 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: DataGrip covers Intelligent SQL Completion, StarRocks covers Cost-based optimiser.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which DataGrip and StarRocks actually diverge.

Attributes where DataGrip and StarRocks differ
AttributeDataGripStarRocks
Pricing modelsubscriptionOpen source, no licence fee
Platformswindows, mac, linuxLinux, Docker, Kubernetes
Founded2000Unknown

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 DataGrip

  • Intelligent SQL Completion
  • Schema Navigation
  • Data Editor
  • Version Control for Scripts
  • Multi-database 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.

DataGrip

  • Writing and running SQL queries across multiple database enginesnot StarRocks
  • Browsing and editing schema and table data visuallynot StarRocks
  • Version-controlling database migration scriptsnot StarRocks
  • Standardizing database tooling across a JetBrains-based teamnot StarRocks

StarRocks

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

Where each one falls short

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

DataGrip

  • Commercial use requires a paid subscription; the free tier is non-commercial only.
  • No built-in database administration features like backup scheduling found in dedicated DBA tools.
  • Heavier resource footprint than lightweight single-purpose SQL clients.
  • NoSQL support (e.g. MongoDB) is less mature than its relational database tooling.

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

DataGrip

Free
  • Free (non-commercial)Free
    • Personal, non-commercial use only
  • Individual - Year 1$99/year
    • Full DataGrip license
    • Free updates during subscription
  • Individual - Year 2+$79/year
    • Continuity discount from second year onward

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 DataGrip if

  • You need intelligent sql completion.
  • You want to start without paying.
  • You work on windows, mac, linux.
  • You also want schema navigation.
DataGrip 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 DataGrip or StarRocks better?
Neither clearly leads. DataGrip 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, DataGrip or StarRocks?
DataGrip starts at Free and StarRocks at Free.
Does DataGrip or StarRocks run on more platforms?
DataGrip runs on windows, mac, linux. StarRocks runs on Linux, Docker, Kubernetes.
Can I use DataGrip for free?
Both have a free tier, so you can try either at no cost before committing.
What is DataGrip best used for?
DataGrip is most often used for writing and running sql queries across multiple database engines, browsing and editing schema and table data visually, version-controlling database migration scripts, standardizing database tooling across a jetbrains-based team. Of those, writing and running sql queries across multiple database engines and browsing and editing schema and table data visually are not what StarRocks is typically brought in for.
What can DataGrip do that StarRocks cannot?
DataGrip covers Intelligent SQL Completion, Schema Navigation, Data Editor, Version Control for Scripts. StarRocks covers Cost-based optimiser, Lakehouse query engine, Primary key tables, Materialised views.

Answered from the vendors’ own pages

DataGrip: Is DataGrip free for personal use?

JetBrains introduced a free non-commercial license for DataGrip in October 2025, allowing personal use, while commercial use still requires a paid annual or monthly subscription.

Source
StarRocks: Is StarRocks open source?

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

DataGrip: Who qualifies for the free non-commercial license?

Only individuals are eligible, for uses like learning, open-source work, or content creation. Anyone paid by an employer, including at a non-profit, must use a commercial license instead.

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.

DataGrip: How long does the free non-commercial license last?

It lasts one year and auto-renews if DataGrip was used at least once in the final six months; otherwise you can simply reapply for a new license.

Source
StarRocks: Who maintains it?

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

DataGrip: Does the free license have fewer features than the paid version?

No, it is a full-featured IDE identical to the paid version, though it requires anonymized telemetry sharing that cannot be opted out of under the non-commercial agreement.

Source
StarRocks: Can it query Iceberg tables directly?

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

DataGrip: Can I use DataGrip offline with the free license?

No, activation requires logging into a JetBrains Account; offline activation codes are not available for the free non-commercial license.

Source
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