Amazon Athena
5.9#16 in query engine software$0.30 usage-basedWebAPI
VisitAmazon Athena vs Apache Hive
Apache Hive
7.4#3 in query engine softwareFree planFree planAPILinuxmacOSSelf-hosted
VisitWhat both publish
| Fact | Amazon Athena | Apache Hive |
|---|---|---|
| Integrations | Athena integrates with AWS Glue and offers built-in connectors to 30 data stores, including Amazon Redshift, Amazon DynamoDB, Google BigQuery, Azure Synapse, Snowflake, and SAP Hana. | The project site names Spark, Presto, and Impala as integrations; it also describes Apache Ranger for authorization and Apache Atlas for lineage and governance. |
| Purpose | Amazon Athena is a serverless interactive query service for analyzing data in Amazon S3 with standard SQL. | Apache Hive is a distributed, fault-tolerant data warehouse system for reading, writing, and managing large datasets with SQL. |
| Security | Access to data can be controlled with IAM policies, access control lists, and S3 bucket policies, and Athena supports querying encrypted S3 data and writing encrypted results. | The site describes Kerberos authentication, fine-grained access control, and audit logging; HiveServer2 documentation also lists LDAP, PAM, and custom authentication options. |
Amazon Athena plans
- SQL queries with Capacity Reservations$0.30 a month
- Apache Spark$0.35 a month
- SQL queries$5 a month
Apache Hive plans
- Apache HiveFree
Pick Amazon Athena if…
Athena suits users exploring or querying data in S3 and other cloud or on-premises sources with SQL. It may also fit teams that need workload separation and cost tracking through workgroups.
Pick Apache Hive if…
Hive suits teams managing large datasets with SQL that need a data warehouse with distributed storage and integrations. Its documentation lists Linux for production use and Mac for development, with Windows also among the listed platforms.