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Head-to-head · Data Warehouse Software

Amazon Redshift vs Databricks SQL Warehouse

  • Updated Oct 2026
  • Both researched from official sources
  • 5 checks side by side

Amazon Redshift leads on 0 checks, Databricks SQL Warehouse 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 scoreAmazon Redshift · 9.2/10
  • Most featuresAmazon Redshift · 4 of 4

Amazon Redshift scores higher on our rubric for data warehouse software: 9.2 against 8.9 out of 10; our editors rank them #2 and #4.

On pricing model, Amazon Redshift gives you Hybrid where Databricks SQL Warehouse offers Usage_based.

Amazon Redshift is the better fit for AWS-centric analytics teams. Databricks SQL Warehouse is the better fit for lakehouse teams building governed SQL analytics.

  • Amazon Redshift fits best

    AWS-centric analytics teams

  • Databricks SQL Warehouse fits best

    Lakehouse teams building governed SQL analytics

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Side by side

Feature Amazon Redshift 9.2/10 Visit ↗ Databricks SQL Warehouse 8.9/10 Visit ↗
At a glance
Editor score 9.2 8.9
Ranking #2 in Data Warehouse Software #4 in Data Warehouse Software
Best for AWS-centric analytics teams Lakehouse teams building governed SQL analytics
Pricing model Paid Paid
Starting price $0.54/unit usage-based —
Free plan — —
Free trial — —
Deployment Cloud Cloud
Platforms Web Web
Support Email, Live chat, Phone, Tickets, Docs Community, Docs
Compliance SOC 2, ISO 27001, HIPAA, PCI DSS, SSO/SAML, 2FA SOC 2, ISO 27001, GDPR, HIPAA, PCI DSS, SSO/SAML
Integrations 15 integrations 15 integrations
Built for Small business, Mid-market, Enterprise Mid-market, Enterprise
Features Amazon Redshift 4/4 · Databricks SQL Warehouse 3/4
Separate storage and compute ✓ ✓
Data lake support ✓ ✓
Streaming ingestion ✓ ✓
In-database machine learning ✓ (best) Not checked yet
Specs
Deployment model Cloud Cloud
Pricing model Hybrid Usage_based
Our review
Pros
  • Provisioned and serverless deployment options
  • Queries Amazon S3 data lakes and supports streaming ingestion
  • Native SQL-based machine learning with Redshift ML
  • Elastic serverless compute with per-second usage billing
  • AI-assisted SQL, dashboards, alerts, and scheduled jobs
  • Governance, federation, streaming tables, and broad BI connectivity
Cons
  • No free plan
  • Serverless is priced at $1.50 per hour
  • Managed storage is billed separately for some provisioned nodes
  • No free plan for low-commitment evaluation
  • Usage-based billing can make costs harder to forecast
  • Feature availability may vary by cloud, region, contract, and tier
Our verdict

Amazon Redshift is a fully managed cloud data warehouse for analyzing large datasets with SQL. It supports data teams, analysts, developers, and organizations running business intelligence, data lake, real-time analytics, and predictive…

Read the review →

Databricks SQL Warehouse is a cloud data warehousing service for analysts and data teams querying data in cloud data lakes with SQL. It combines managed, elastic serverless compute with SQL authoring, interactive AI/BI dashboards,…

Read the review →
  1. Amazon RedshiftData Warehouse Software 9.2Paid
  2. Databricks SQL WarehouseData Warehouse Software 8.9Paid

Strengths and trade-offs

  • Amazon Redshift — where it wins

    • Provisioned and serverless deployment options
    • Queries Amazon S3 data lakes and supports streaming ingestion
    • Native SQL-based machine learning with Redshift ML

    Where it doesn't

    • No free plan
    • Serverless is priced at $1.50 per hour
    • Managed storage is billed separately for some provisioned nodes
  • Databricks SQL Warehouse — where it wins

    • Elastic serverless compute with per-second usage billing
    • AI-assisted SQL, dashboards, alerts, and scheduled jobs
    • Governance, federation, streaming tables, and broad BI connectivity

    Where it doesn't

    • No free plan for low-commitment evaluation
    • Usage-based billing can make costs harder to forecast
    • Feature availability may vary by cloud, region, contract, and tier

More comparisons

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update