StarRocks

A fast, open-source analytical database engine delivering sub-second query performance at scale

Also known as
starrocks

What is StarRocks?

An open-source analytical database optimized for real-time analytics with sub-second latency on complex queries. It queries directly from open lakehouse formats like Iceberg and Delta Lake without data copying, and handles high-concurrency workloads for AI agents and analytics.

Independently observed

StarRocks pricing

We don't have StarRocks's full plan breakdown yet (its pricing page resisted automated reading). Here's what we could confirm. Always check live pricing for exact numbers.

Pricing as of verify at live pricing ↗Independently observed
Open sourceFree tier

Free and open source

What StarRocks does

The capabilities that matter for data warehouse software, normalised so it lines up with every alternative. “-” means we haven't confirmed it, not that it's missing.

Deployment
Deployment
Hybrid
Architecture
Architecture
Separated storage/compute
Compute model
Clusters
Query
SQL dialect
ANSI SQL
Federation / lakehouse query-in-place
Interoperability
Table-format support
Apache Iceberg, Apache Hudi, Apache Hive, Delta Lake
Scale
Concurrency scaling
Manual
Ingestion
Streaming ingest
Data model
Semi-structured (JSON/VARIANT)
-
Analytics
ML / in-DB functions
Sharing
Data sharing / marketplace
Licensing
Licence class
Source-available
Independently observed

Platform & deployment

Independently observed
Platforms
  • CLI
  • Linux
Deployment
  • Cloud / SaaS
  • Hybrid
  • Self-hosted

Integrations (14)

Independently observed
  • Apache Iceberg
  • Apache Hudi
  • Apache Hive
  • Delta Lake
  • Apache Kafka
  • Airbyte
  • Apache Superset
  • Min.IO
  • dbt Labs
  • Alibaba Cloud EMR
  • AWS
  • ByteDance Volcano Engine
  • CelerData
  • Mirrorship

StarRocks alternatives

Other data warehouse software we track, ranked by the same independent score.

All StarRocks alternatives, ranked →

Independent · unbought · dated

The Vioscale score: one lens on the evidence

Not user reviews and not a paid placement: a confidence-weighted blend of the independent signals below (adoption, activity, security posture, and more), which you can sort and re-weight yourself. Vendors can correct their listing but can never move their rank, and stars are weighted low as a vanity metric. It is one way to read the evidence for StarRocks, not the verdict.

Balanced composite 39 / 100
low · 14%updating
Signal contributions to the composite score
SignalScoreWeightContributionEvidence
Capabilities460.062.9
Integrations340.072.5
Stars00.030.0-
Dependent projects00.060.0-
Development activity00.090.0-
Release cadence00.050.0-
Security posture00.120.0-
Package downloads00.140.0-
Security score00.040.0-
Developer Q&A activity00.060.0-

Computed . Re-weight it by intent, or see the full method.

All data & sourcesshow ↓

Every value we hold, with its source, retrieval date, and confidence. This is the evidence behind the score: don't trust it, verify it.

Features

AttributeValueEvidence
CapabilitiesIn db ml: No · Deployment: hybrid · Sql dialect: ansi · Architecture: separated · Data sharing: No · Compute model: clustersmediumsource · 2026-08-16 · 60%

Integrations

AttributeValueEvidence
Count14mediumsource · 2026-08-16 · 60%

Pricing

AttributeValueEvidence
Free tierYesmediumsource · 2026-08-16 · 60%
Modelopen_sourcemediumsource · 2026-08-16 · 60%
Price levelfreemediumsource · 2026-08-16 · 60%