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Head-to-head · Columnar Databases

StarRocks vs Firebolt

  • Updated Oct 2026
  • Both researched from official sources
  • 1 check side by side
Higher score StarRocks #5 in Columnar Databases 8.8/10 Free plan Free plan✓ 0 of 3 features Visit StarRocks
Firebolt #8 in Columnar Databases 8.4/10 Free plan Free plan✓ 0 of 3 features Visit Firebolt

StarRocks leads on 0 checks, Firebolt on 0, and 1 is even. Who comes out ahead on the 1 yes/no, price and count check where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreStarRocks · 8.8/10
  • Free planboth

StarRocks scores higher on our rubric for columnar databases: 8.8 against 8.4 out of 10; our editors rank them #5 and #8.

StarRocks is the better fit for open-source lakehouse SQL analytics. Firebolt is the better fit for lakehouse analytics with streaming and AI.

  • StarRocks fits best

    Open-source lakehouse SQL analytics

  • Firebolt fits best

    Lakehouse analytics with streaming and AI

Advertiser disclosure: iTechGuides is reader-supported. Vendors can pay for top positions in our rankings and for a place on other products' pages, and we may earn a commission when you click some links. Bought places stand at the number bought; this page and our disclosure say so. Paying vendors may get a fuller, more detailed review from our editors, and that review can change their score. How we rank.

Side by side

Feature StarRocks 8.8/10 Visit ↗ Firebolt 8.4/10 Visit ↗
At a glance
Editor score 8.8 8.4
Ranking #5 in Columnar Databases #8 in Columnar Databases
Best for Open-source lakehouse SQL analytics Lakehouse analytics with streaming and AI
Pricing model Free Free plan + paid
Starting price Free plan $0.92/unit usage-based
Free plan ✓ ✓
Free trial — —
Deployment Self-hosted Cloud, Self-hosted, Desktop
Platforms Linux Web, Linux
Support Community, Docs Email, Community, Docs
Integrations 20 integrations 11 integrations
Built for Small business, Mid-market, Enterprise Solo, Small business, Mid-market, Enterprise
Features StarRocks 0/3 · Firebolt 0/3
Managed service Not checked yet Not checked yet
Object storage support Not checked yet Not checked yet
Streaming ingestion Not checked yet Not checked yet
Specs
Deployment model Not checked yet Hybrid
Supported data formats Not checked yet Not checked yet
Included storage Not checked yet Not checked yet
Our review
Pros
  • Vectorized MPP execution with cost-based query optimization
  • Real-time upserts, deletes, and streaming or batch loading
  • Queries data lakes through external catalogs without migration
  • Queries Apache Iceberg and other data-lake files directly
  • Exactly-once Kafka ingestion supports streaming workloads
  • Vector search and SQL-based AI functions support AI applications
Cons
  • Self-hosted deployment places infrastructure work on your team
  • Primarily designed for analytical rather than general transactional workloads
  • Managed SaaS users may prefer a hosted database alternative
  • Managed pricing is usage-based rather than a flat monthly tier
  • The displayed $0.92/hour compute rate excludes storage
  • Self-hosted deployment requires managing the deployment environment
Our verdict

StarRocks is an open-source massively parallel processing database for OLAP, real-time analytics, high-concurrency workloads, ad-hoc queries, and unified analytics. It is aimed at engineering and data teams building analytical warehouses,…

Read the review →

Firebolt is an open-source analytical database for engineers building real-time analytics, AI applications, and ELT workflows. It supports PostgreSQL-compatible SQL and can run as a single binary on a laptop or as a distributed cloud…

Read the review →
  1. StarRocksColumnar Databases 8.8Free plan
  2. FireboltColumnar Databases 8.4Free plan

Strengths and trade-offs

  • StarRocks — where it wins

    • Vectorized MPP execution with cost-based query optimization
    • Real-time upserts, deletes, and streaming or batch loading
    • Queries data lakes through external catalogs without migration

    Where it doesn't

    • Self-hosted deployment places infrastructure work on your team
    • Primarily designed for analytical rather than general transactional workloads
    • Managed SaaS users may prefer a hosted database alternative
  • Firebolt — where it wins

    • Queries Apache Iceberg and other data-lake files directly
    • Exactly-once Kafka ingestion supports streaming workloads
    • Vector search and SQL-based AI functions support AI applications

    Where it doesn't

    • Managed pricing is usage-based rather than a flat monthly tier
    • The displayed $0.92/hour compute rate excludes storage
    • Self-hosted deployment requires managing the deployment environment

More comparisons

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update