Databricks SQL Warehouse vs Amazon Athena

Databricks SQL Warehouse9.1Visit Amazon Athena8.9Visit

Higher score Databricks SQL Warehouse #2 in Query Engine Software 9.1/10 Paid ✓ 0 of 4 features Visit Databricks

vs

Amazon Athena #4 in Query Engine Software 8.9/10 Paid ✓ 0 of 4 features Visit Amazon Athena

• Databricks SQL Warehouse fits best

  Enterprise lakehouse SQL and BI

• Amazon Athena fits best

  S3-centric serverless SQL

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Side by side

Feature	Databricks SQL Warehouse 9.1/10 Visit ↗	Amazon Athena 8.9/10 Visit ↗
At a glance
Editor score	9.1	8.9
Ranking	#2 in Query Engine Software	#4 in Query Engine Software
Best for	Enterprise lakehouse SQL and BI	S3-centric serverless SQL
Pricing model	Paid	Paid
Starting price	—	$0.30/unit usage-based
Free plan	—	—
Free trial	—	—
Deployment	Cloud	Cloud
Platforms	Web	Web
Support	Community, Docs	Docs
Integrations	15 integrations	30+ integrations
Built for	Mid-market, Enterprise	Mid-market, Enterprise
Features Databricks SQL Warehouse 0/4 · Amazon Athena 0/4
Federated queries	Not checked yet	Not checked yet
Heterogeneous sources	Not checked yet	Not checked yet
Result caching	Not checked yet	Not checked yet
Streaming sources	Not checked yet	Not checked yet
Specs
Deployment	Not checked yet	Cloud
SQL support	Not checked yet	Not checked yet
Source connectors	Not checked yet	Not checked yet
Our review
Pros	Elastic serverless SQL warehouses with usage-based compute AI-assisted SQL, dashboards, alerts, and scheduled jobs Broad BI, database, ETL, and federation integrations	Queries Amazon S3 data with standard SQL without managing infrastructure Supports federated queries across relational, non-relational, and custom sources Includes Glue Catalog, JDBC/ODBC, Spark, and workgroup cost controls
Cons	No free plan for lightweight or occasional experimentation Usage-based billing can make spend vary with workloads Cloud deployment may not suit teams needing self-hosted software	SQL queries are billed by data scanned rather than fixed user plans Advanced governance depends on AWS services such as Lake Formation Its broad AWS ecosystem may be more than narrow SQL use cases need
Our verdict	Databricks SQL Warehouse is a cloud data warehousing service built on the Databricks lakehouse. It lets analysts and data teams query cloud data lakes with SQL while adding AI-assisted authoring, interactive AI/BI dashboards, scheduled… Read the review →	Amazon Athena is a cloud-based, serverless query service for analysts, data engineers, developers, and organizations that need interactive analytics without managing query infrastructure. It uses standard SQL to query data stored in Amazon… Read the review →

Strengths and trade-offs

• Databricks SQL Warehouse — where it wins

  • Elastic serverless SQL warehouses with usage-based compute
  • AI-assisted SQL, dashboards, alerts, and scheduled jobs
  • Broad BI, database, ETL, and federation integrations

  Where it doesn't

  • No free plan for lightweight or occasional experimentation
  • Usage-based billing can make spend vary with workloads
  • Cloud deployment may not suit teams needing self-hosted software

• Amazon Athena — where it wins

  • Queries Amazon S3 data with standard SQL without managing infrastructure
  • Supports federated queries across relational, non-relational, and custom sources
  • Includes Glue Catalog, JDBC/ODBC, Spark, and workgroup cost controls

  Where it doesn't

  • SQL queries are billed by data scanned rather than fixed user plans
  • Advanced governance depends on AWS services such as Lake Formation
  • Its broad AWS ecosystem may be more than narrow SQL use cases need

• Databricks SQL Warehouse9.1/10 · Paid

  A flexible SQL warehouse for enterprise lakehouse analytics, BI, and governed data access.

  Visit DatabricksFull verdict →
• Amazon Athena8.9/10 · Paid

  A usage-priced serverless SQL engine for querying S3 and connected data sources.

  Visit Amazon AthenaFull verdict →