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Data Warehouse · Rank #10 of 10

StarRocks

Open-source MPP analytics DB for real-time and lakehouse workloads.

By CelerData (open source: StarRocks community) · Founded 2020 · Redwood City, CA · private

StarRocks is the Apache 2.0 MPP analytics database forked from Apache Doris, with CelerData as the commercial entity providing the managed offering. Strengths: strong real-time and lakehouse query performance, native Iceberg/Hudi/Delta Lake reads, and competitive performance versus ClickHouse on certain join-heavy workloads. Trade-offs: narrower fit than ClickHouse, smaller community, fewer reference customers, more limited ecosystem. Best-fit clearly narrowed to teams who specifically need MPP-style join performance plus lakehouse query and want an open-source alternative to commercial DWs.

Visit StarRocks Vendor pricing Compare to ClickHouse
Best for

Engineering-led teams (50-2,000 employees) needing MPP-style join performance plus open-format lakehouse query and willing to operate self-hosted or use the CelerData managed offering.

Worst for

Mainstream cloud DW use cases (Snowflake, BigQuery, or ClickHouse fit better), enterprise governance-heavy orgs, or teams who want a large partner ecosystem.

Vendor Trust Score

Is StarRocks a trustworthy vendor?

7.8/10
Mixed
Pricing transparency
Published rates; no hidden fees
6.5
Contract fairness
Reasonable terms; no auto-renew traps
8.0
Incident response
How they handle outages and breaches
7.5
Post-acquisition behavior
Customer treatment after M&A or PE
8.5
Executive stability
Leadership churn over 24 months
8.0
Roadmap honesty
Public commitments held
8.0
Trust signal log
  • 2021-09-15
    StarRocks open-sourced under Apache 2.0
  • 2022-08-09
    CelerData formed as commercial entity for managed StarRocks offering
  • 2025-04-22
    Iceberg read/write parity GA in StarRocks 3.x
Vendor Trust is scored independently of product quality. A great product from an unfair vendor still earns a low trust score.
Review Intelligence

What 78 reviews actually say

Synthesized from G2, Capterra, Reddit, Trustpilot. Patterns >15% prevalence shown.

Last synthesized
2026-04-29

Praise patterns

  • Strong on join-heavy MPP workloads versus ClickHouse
    78% →
  • Native lakehouse query against Iceberg works well
    64% ↑
  • Apache 2.0 license with no rug-pull risk
    51% →

Complaint patterns

  • Smaller community than ClickHouse
    64% →
  • Fewer enterprise reference customers
    47% →
  • Ecosystem narrower for BI and ETL tools
    41% →
  • CelerData (commercial entity) less established
    31% ↓
Sentiment trend (6 months)
83/100 +2 pts
12
01
02
03
04
05
Patterns are extracted from review corpus and human-verified. We surface trends, not anecdotes.
Verified Pricing

What buyers actually pay

31 anonymized deal disclosures · last updated 2026-05-01

Contribute your deal price
Company size Median annual
50-200 employees $12,000
200-1,000 employees $72,000
Verified pricing is crowdsourced from buyers under anonymity guarantees. Vendor-listed prices are validated against actual deals quarterly.
Compliance & Security

Auto-verified certifications

Verified 2026-05-01
SOC 2 Type II
ISO 27001
HIPAA
GDPR
CCPA
PCI DSS
FedRAMP

Editorial: Strengths

  • Apache 2.0 MPP analytics engine
  • Native lakehouse query (Iceberg, Hudi, Delta Lake)
  • Strong real-time materialized view performance
  • Competitive on join-heavy workloads versus ClickHouse
  • CelerData managed offering for production deployment
  • Vectorized execution engine

Editorial: Weaknesses

  • Smaller community than ClickHouse
  • Fewer enterprise reference customers
  • Ecosystem narrower (fewer BI/ETL integrations)
  • CelerData (commercial entity) less established
  • Best-fit narrowed to specific workload mix

Key features & integrations

  • +MPP architecture with vectorized execution
  • +Native lakehouse query (Iceberg, Hudi, Delta Lake)
  • +Real-time materialized views
  • +Primary key model for upserts
  • +Tiered storage (hot/cold)
  • +CBO (cost-based optimizer)
  • +Asynchronous materialized views
60+ integrations
KafkadbtTableauSupersetAWS S3Apache Iceberg
Geography supported
Global
Best fit
50–2,000 employees · Engineering-led mid-market
Editorial deep-dive

Read our full ranking of Data Warehouse

StarRocks ranks #10 in our editorial review of 10 data warehouse platforms. The deep-dive covers methodology, comparison tables, decision matrix, migration scoring, and FAQs.

Read the full ranking

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