Amazon Athena vs Starburst Enterprise Context Layer
Amazon Athena
aws.amazon.com
Starburst Enterprise Context Layer
starburst.ioSide by side
| Figure | Amazon Athena | Starburst Enterprise Context Layer |
|---|---|---|
| Price from | $0.30/mo | $0.50/mo |
| Free plan | — | Yes |
| Free trial | — | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | — | Yes |
| Plans published | 3 | 7 |
| Spec score · Query Engine Software | 7.8 (#13) | 8.5 (#5) |
| Compliance | AWS documentation says third-party auditors assess security and compliance under AWS programs including SOC, PCI, and FedRAMP; customer compliance responsibility depends on their data and obligations. | Starburst states that it has SOC 2 Type 2 compliance and ISO/IEC 27001 certification. |
| 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 platform connects to more than 50 sources, including Apache Iceberg, Delta Lake, Hive, Amazon S3, Snowflake, and PostgreSQL. |
| 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. | Enterprise security includes column- and row-level RBAC and ABAC, Apache Ranger, HashiCorp Vault, Okta, LDAP, dynamic masking, column-level encryption, and unified audit logging. |
Plans
Amazon Athena
- SQL queries with Capacity Reservations$0.30 a month
- Apache Spark$0.35 a month
- SQL queries$5 a month
Starburst Enterprise Context Layer
- FreeFree
- ProPriced on request
- Pro$0.50 a month
- EnterprisePriced on request
- Enterprise$0.75 a month
- Mission-CriticalPriced on request
- Mission-Critical$1 a month
In their own words
Amazon Athena
Amazon Athena has no write-up on Specifiction yet; its figures are above.
Starburst Enterprise Context Layer
Starburst Enterprise Context Layer turns scattered data into governed, versioned Data Products. Each product combines a dataset with business definitions, ownership, access policies, and lineage, and appears in a shared catalog. Controls include role-based access, column masking, and row-level security. Teams can define products in YAML, commit them to git, test changes before merging, and roll back; breaking changes are reviewed before rollout. Automated CI/CD lineage checks verify upstream freshness before a new version is published. A semantic layer turns raw data into business-ready metrics, dimensions, and relationships for BI tools and AI agents. Products can be consumed through JDBC or REST, and the platform connects to more than 50 sources, including Apache Iceberg, Delta Lake, Hive, Amazon S3, Snowflake, and PostgreSQL. It runs in private cloud, hybrid, or on-premises environments and is air-gap ready. The free plan is free. Pro costs what you agree with the maker, billed /credit; Enterprise costs what you agree with the maker, billed /credit; Mission-Critical costs what you agree with the maker, billed /credit.