Amazon Athena vs Apache Impala

Amazon Athena8.9Visit AIApache Impala8.6Visit

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

vs

AI Apache Impala #7 in Query Engine Software 8.6/10 Free plan Free plan✓ 0 of 4 features Visit Apache Impala

• Amazon Athena fits best

  S3-centric serverless SQL

• Apache Impala fits best

  Interactive Hadoop-lake SQL

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Side by side

Feature	Amazon Athena 8.9/10 Visit ↗	AIApache Impala 8.6/10 Visit ↗
At a glance
Editor score	8.9	8.6
Ranking	#4 in Query Engine Software	#7 in Query Engine Software
Best for	S3-centric serverless SQL	Interactive Hadoop-lake SQL
Pricing model	Paid	Free
Starting price	$0.30/unit usage-based	Free plan
Free plan	—	✓ (best)
Free trial	—	—
Deployment	Cloud	Self-hosted
Platforms	Web	Linux
Support	Docs	Docs
Integrations	30+ integrations	9 integrations
Built for	Mid-market, Enterprise	Mid-market, Enterprise
Features Amazon Athena 0/4 · Apache Impala 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	Cloud	Self_hosted
SQL support	Not checked yet	Not checked yet
Source connectors	Not checked yet	Not checked yet
Our review
Pros	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	Interactive distributed SQL for analytic workloads Hive compatibility with shared Hive Metastore metadata Broad storage, format, JDBC, and ODBC support
Cons	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	Self-hosted deployment on Linux requires cluster management Best suited to Hadoop-centered data environments Kudu capabilities depend on the Apache Kudu integration
Our verdict	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 →	Apache Impala is an open-source distributed analytic database for interactive SQL queries over Hadoop ecosystem data. It is designed for data analysts, engineers, and organizations operating large-scale data platforms, with support for… Read the review →

Strengths and trade-offs

• 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

• Apache Impala — where it wins

  • Interactive distributed SQL for analytic workloads
  • Hive compatibility with shared Hive Metastore metadata
  • Broad storage, format, JDBC, and ODBC support

  Where it doesn't

  • Self-hosted deployment on Linux requires cluster management
  • Best suited to Hadoop-centered data environments
  • Kudu capabilities depend on the Apache Kudu integration

• Amazon Athena8.9/10 · Paid

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

  Visit Amazon AthenaFull verdict →
• AIApache Impala8.6/10 · Free plan

  A strong fit for interactive SQL on self-hosted Hadoop and lake data.

  Visit Apache ImpalaFull verdict →