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Head-to-head · Columnar Databases

Google BigQuery vs Firebolt

  • Updated Oct 2026
  • Both researched from official sources
  • 1 check side by side
Higher score Google BigQuery #1 in Columnar Databases 9.4/10 Free plan Free plan✓ 0 of 3 features Try Google BigQuery
Firebolt #8 in Columnar Databases 8.4/10 Free plan Free plan✓ 0 of 3 features Visit Firebolt

Google BigQuery 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 scoreGoogle BigQuery · 9.4/10
  • Free planboth

Google BigQuery scores higher on our rubric for columnar databases: 9.4 against 8.4 out of 10; our editors rank them #1 and #8.

On deployment model, Firebolt gives you Hybrid where Google BigQuery offers Cloud.

Google BigQuery is the better fit for serverless analytics and lakehouse teams. Firebolt is the better fit for lakehouse analytics with streaming and AI.

  • Google BigQuery fits best

    Serverless analytics and lakehouse teams

  • Firebolt fits best

    Lakehouse analytics with streaming and AI

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Side by side

Feature Google BigQuery 9.4/10 Visit ↗ Firebolt 8.4/10 Visit ↗
At a glance
Editor score 9.4 8.4
Ranking #1 in Columnar Databases #8 in Columnar Databases
Best for Serverless analytics and lakehouse teams Lakehouse analytics with streaming and AI
Pricing model Free Free plan + paid
Starting price Free $0.92/unit usage-based
Free plan ✓ ✓
Free trial — —
Deployment Cloud Cloud, Self-hosted, Desktop
Platforms Web Web, Linux
Support Docs, Live chat, Phone, Tickets, Community Email, Community, Docs
Compliance SOC 2, ISO 27001, HIPAA SOC 2, ISO 27001, GDPR, HIPAA, SSO/SAML, 2FA
Integrations 10 integrations 11 integrations
Built for Small business, Mid-market, Enterprise Solo, Small business, Mid-market, Enterprise
Features Google BigQuery 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 Cloud Hybrid
Supported data formats Not checked yet Not checked yet
Included storage Not checked yet Not checked yet
Our review
Pros
  • Separates storage and compute for independent scaling
  • Queries lake data and external sources through federated access
  • Combines streaming, SQL-based ML, governance, and AI features
  • 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
  • Usage-based pricing varies by data scanned, storage, region, and operation
  • Capacity-based editions require planning around query processing
  • Cloud deployment may not suit teams needing another deployment model
  • 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

Google BigQuery is a fully managed, serverless cloud data warehouse for organizations that store, query, and analyze large datasets. It is aimed at data engineering, business intelligence, data science, real-time analytics, and warehouse…

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. Google BigQueryColumnar Databases 9.4Free plan
  2. FireboltColumnar Databases 8.4Free plan

Strengths and trade-offs

  • Google BigQuery — where it wins

    • Separates storage and compute for independent scaling
    • Queries lake data and external sources through federated access
    • Combines streaming, SQL-based ML, governance, and AI features

    Where it doesn't

    • Usage-based pricing varies by data scanned, storage, region, and operation
    • Capacity-based editions require planning around query processing
    • Cloud deployment may not suit teams needing another deployment model

  • 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

All columnar databases comparisons → · Full ranking →

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update