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Head-to-head · Data Warehouse Software

Google BigQuery vs Databend

  • Updated Oct 2026
  • Both researched from official sources
  • 5 checks side by side
Higher score Google BigQuery #1 in Data Warehouse Software 9.4/10 Free plan Free plan✓ 4 of 4 features Try Google BigQuery
Databend #22 in Data Warehouse Software 6.8/10 Free plan · 30-day trial Free planFree trial✓ 3 of 4 features Visit Databend

Google BigQuery leads on 0 checks, Databend on 0, and 5 are even. Who comes out ahead on the 5 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreGoogle BigQuery · 9.4/10
  • Free planboth
  • Free trialonly Databend
  • Most featuresGoogle BigQuery · 4 of 4

Google BigQuery scores higher on our rubric for data warehouse software: 9.4 against 6.8 out of 10; our editors rank them #1 and #22.

On deployment model, Databend gives you Hybrid where Google BigQuery offers Cloud. On pricing model, Google BigQuery gives you Hybrid where Databend offers Usage_based.

Google BigQuery is the better fit for teams wanting a broad serverless warehouse. Databend is the better fit for budget-conscious teams wanting open-source flexibility.

  • Google BigQuery fits best

    Teams wanting a broad serverless warehouse

  • Databend fits best

    Budget-conscious teams wanting open-source flexibility

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 Google BigQuery 9.4/10 Visit ↗ Databend 6.8/10 Visit ↗
At a glance
Editor score 9.4 6.8
Ranking #1 in Data Warehouse Software #22 in Data Warehouse Software
Best for Teams wanting a broad serverless warehouse Budget-conscious teams wanting open-source flexibility
Pricing model Free Free plan + paid
Starting price Free $23/GB/mo
Free plan ✓ ✓
Free trial — 30 days
Deployment Cloud Cloud, Self-hosted
Platforms Web Web, macOS, Linux
Support Docs, Live chat, Phone, Tickets, Community Community, Docs · 24/7
Compliance SOC 2, ISO 27001, HIPAA SOC 2, GDPR
Integrations 10 integrations 50+ integrations
Built for Small business, Mid-market, Enterprise Solo, Small business, Mid-market, Enterprise
Features Google BigQuery 4/4 · Databend 3/4
Separate storage and compute ✓ ✓
Data lake support ✓ ✓
Streaming ingestion ✓ ✓
In-database machine learning ✓ (best) Not checked yet
Specs
Deployment model Cloud Hybrid
Pricing model Hybrid Usage_based
Our review
Pros
  • Serverless SQL with storage and compute that scale independently
  • Supports lake queries, streaming ingestion, CDC, and federated sources
  • Includes BigQuery ML, governance controls, and broad integrations
  • Free self-hosted Community plan with open-source flexibility
  • Vectorized SQL, search, vector workloads, and streaming transformations
  • Supports S3, Azure, GCS, MinIO, HDFS, and Kafka Connect
Cons
  • Usage-based pricing can vary by region and operation
  • Additional storage, ingestion, and extraction charges can apply
  • Broad feature coverage may exceed the needs of narrow warehouse use cases
  • Integration descriptions are broader and less specific than some alternatives
  • Cloud storage and compute charges are billed separately
  • Dedicated deployments use custom pricing
Our verdict

Google BigQuery is a fully managed, serverless cloud data warehouse for organizations that need to store, query, and analyze large datasets. Its audience spans data engineering, business intelligence, data science, real-time analytics, and…

Read the review →

Databend is an open-source data warehouse built in Rust for data teams, developers, and enterprises running analytical, search, and AI workloads. Its scope covers SQL analytics with vectorized execution, full-text and JSON search, vector…

Read the review →
  1. Google BigQueryData Warehouse Software 9.4Free plan
  2. DatabendData Warehouse Software 6.8Free plan · 30-day trial

Strengths and trade-offs

  • Google BigQuery — where it wins

    • Serverless SQL with storage and compute that scale independently
    • Supports lake queries, streaming ingestion, CDC, and federated sources
    • Includes BigQuery ML, governance controls, and broad integrations

    Where it doesn't

    • Usage-based pricing can vary by region and operation
    • Additional storage, ingestion, and extraction charges can apply
    • Broad feature coverage may exceed the needs of narrow warehouse use cases
  • Databend — where it wins

    • Free self-hosted Community plan with open-source flexibility
    • Vectorized SQL, search, vector workloads, and streaming transformations
    • Supports S3, Azure, GCS, MinIO, HDFS, and Kafka Connect

    Where it doesn't

    • Integration descriptions are broader and less specific than some alternatives
    • Cloud storage and compute charges are billed separately
    • Dedicated deployments use custom pricing
  • Google BigQuery9.4/10 · Free plan

    A broad serverless warehouse with flexible analytics, lake, streaming, governance, and ML capabilities.

    Try Google BigQueryFull verdict →
  • Databend6.8/10 · Free plan · 30-day trial

    A flexible warehouse for teams that want open-source control and usage-based cloud pricing.

    Visit DatabendFull verdict →

More comparisons

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update