Amazon Athena

Name: Amazon Athena
Brand: Amazon Web Services (AWS)
Rating: 4.3 (298 reviews)

Leader

Official Global LinkedIn page for Amazon Web Services (AWS).

Est 2006|Valuation $2560B|63 Ref Customers

LinkedIn 10.9M|Website|Web traffic 1.1M|FTEs 148,001|HQ Seattle, Washington, US

MarketsData Warehouses & Lakehouses

Platform CoversData Virtualization Self-Service Analytics Cloud Data Platform

01Competitive Landscape

| Aspect | Amazon Athena | Google BigQuery | Starburst (Trino-based managed) | |--------|---------------|----------------|----------------| | Starting Price | Usage-based (billed on data scanned and query compute) | Usage-based; on-demand scanned-data billing available | Vendor-specific subscription/usage; positioned as managed multi-cloud Trino | | Best For | Ad hoc SQL on S3 data lakes, log analytics, AWS-native workflows | Large-scale analytics and integrated warehouse features in GCP, including external tables | Multi-source federation and Trino governance across clouds | | Key Strength | No cluster provisioning required; integration with AWS services; suitable for sporadic queries on S3 | Integrated data warehouse features and GCP ecosystem | Managed Trino with multi-cloud connectors and governance features | | Key Weakness | Cost and performance are sensitive to data organization; documented engine limitations and unsupported cases | Scan-cost sensitivity for on-demand models; cost can be high without optimization | Additional platform complexity and cost compared with raw OSS Trino; requires vendor engagement | - Direct competitors and differentiators - Athena vs BigQuery - Both can be used with usage-based scanned-data billing for serverless queries. Differentiation often reflects ecosystem preferences: AWS lake-first patterns versus GCP warehouse-first approaches. - Athena vs Starburst/Trino - Athena is based on Presto/Trino engine lineage and provides managed engine versions; Starburst offers a managed Trino distribution with additional governance and multi-cloud features, often selected when teams require deeper engine control. - Athena vs Redshift - Redshift is a managed data warehouse with different performance and cost characteristics; community discussions indicate overlap and some confusion between S3-external querying options in Redshift and Athena. - Pricing comparison (high-level) - Athena: billed primarily on data scanned and query-related compute, so optimization is important for predictable spend. - BigQuery: offers on-demand scanned-data billing; both systems reward partitioning and columnar formats for cost and performance efficiency. - Market share and adoption trends - Athena is commonly cited as an example of Trino-derived engines in production. Precise market share figures are not established in the reviewed public sources.

01Competitive Landscape

Aspect	Amazon Athena	Google BigQuery	Starburst (Trino-based managed)
Starting Price	Usage-based (billed on data scanned and query compute)	Usage-based; on-demand scanned-data billing available	Vendor-specific subscription/usage; positioned as managed multi-cloud Trino
Best For	Ad hoc SQL on S3 data lakes, log analytics, AWS-native workflows	Large-scale analytics and integrated warehouse features in GCP, including external tables	Multi-source federation and Trino governance across clouds
Key Strength	No cluster provisioning required; integration with AWS services; suitable for sporadic queries on S3	Integrated data warehouse features and GCP ecosystem	Managed Trino with multi-cloud connectors and governance features
Key Weakness	Cost and performance are sensitive to data organization; documented engine limitations and unsupported cases	Scan-cost sensitivity for on-demand models; cost can be high without optimization	Additional platform complexity and cost compared with raw OSS Trino; requires vendor engagement

Direct competitors and differentiators
- Athena vs BigQuery
  - Both can be used with usage-based scanned-data billing for serverless queries. Differentiation often reflects ecosystem preferences: AWS lake-first patterns versus GCP warehouse-first approaches.
- Athena vs Starburst/Trino
  - Athena is based on Presto/Trino engine lineage and provides managed engine versions; Starburst offers a managed Trino distribution with additional governance and multi-cloud features, often selected when teams require deeper engine control.
- Athena vs Redshift
  - Redshift is a managed data warehouse with different performance and cost characteristics; community discussions indicate overlap and some confusion between S3-external querying options in Redshift and Athena.
Pricing comparison (high-level)
- Athena: billed primarily on data scanned and query-related compute, so optimization is important for predictable spend.
- BigQuery: offers on-demand scanned-data billing; both systems reward partitioning and columnar formats for cost and performance efficiency.
Market share and adoption trends
- Athena is commonly cited as an example of Trino-derived engines in production. Precise market share figures are not established in the reviewed public sources.

Aspect

Amazon Athena

Google BigQuery

Starburst (Trino-based managed)

Starting Price

Usage-based (billed on data scanned and query compute)

Usage-based; on-demand scanned-data billing available

Vendor-specific subscription/usage; positioned as managed multi-cloud Trino

Best For

Ad hoc SQL on S3 data lakes, log analytics, AWS-native workflows

Large-scale analytics and integrated warehouse features in GCP, including external tables

Multi-source federation and Trino governance across clouds

Key Strength

No cluster provisioning required; integration with AWS services; suitable for sporadic queries on S3

Integrated data warehouse features and GCP ecosystem

Managed Trino with multi-cloud connectors and governance features

Key Weakness

Cost and performance are sensitive to data organization; documented engine limitations and unsupported cases

Scan-cost sensitivity for on-demand models; cost can be high without optimization

Additional platform complexity and cost compared with raw OSS Trino; requires vendor engagement