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Amazon Athena vs Starburst

Amazon Athena: Serverless AWS query service running Trino-based SQL directly over data in S3. Starburst: Commercial Trino platform: self-managed Starburst Enterprise and the Starburst Galaxy SaaS.

key differences

  • Only Starburst has materialized views, encryption at rest.

choose amazon-athena for

  • +Ad-hoc SQL over S3 logs (CloudTrail, ALB, VPC flow)
  • +Serverless lakehouse queries on Iceberg
  • +Lightweight BI on curated S3 data

best at · Lakehouse, OLAP, Warehouse

choose starburst for

  • +Enterprise lakehouse on Iceberg
  • +Data mesh and data products
  • +Federated queries across on-prem and cloud
  • +Warehouse offload from Teradata or Netezza

best at · Lakehouse, OLAP, Warehouse

Amazon AthenaServerless AWS query service running Trino-based SQL directly over data in S3.
StarburstCommercial Trino platform: self-managed Starburst Enterprise and the Starburst Galaxy SaaS.
overview
Primary model
Relational
Relational
Also supports
Columnar / OLAP
Columnar / OLAP
Type
Managed service
Database engine
Status
Active
Active
Developer
Amazon Web Services
Starburst Data
First release
2016
2017
Latest version
–
483-e (Oct 16, 2026)
License
ProprietaryProprietary
ProprietaryProprietary (on an Apache-2.0 Trino core)
Free tier
—
—
popularity
WhichDB Score
19.5
0.0
Rank
#166
#820
GitHub stars
–
–
Stack Overflow questions
3.6K
–
scale & guarantees
Comfortable data size
Massive (Multi-PB)
Massive (Multi-PB)
Horizontal scaling
Native
Native
Multi-region
None
None
ACID
Limited
Limited
Consistency
Strong
Strong
Schema
Strict
Strict
Architecture
Serverless, Distributed
Distributed, Client server, Serverless
deployment
Self-hosted
—
✓
Vendor-managed cloud
✓
✓
Serverless
✓
✓
Embedded
—
—
Edge
—
—
Clouds
AWS
AWS, Azure, Google Cloud
capabilities
Transactions
—
—
Joins
✓
✓
Secondary indexes
—
—
Full-text search
—
—
Vector search
—
—
Geospatial
✓
✓
JSON
✓
✓
Change data capture
—
—
Triggers
—
—
Stored procedures
—
—
Materialized views
—
✓
TTL / expiry
—
—
Pub/Sub
—
—
Columnar storage
—
—
In-memory
—
—
Durable persistence
—
—
Compression
—
—
Encryption at rest
—
✓
Role-based access
✓
✓
Time travel
✓
✓
Branching
—
—
Online schema changes
—
—
Streaming ingest
—
—
Offline sync
—
—
Runs in WebAssembly
—
—
interfaces
Query languages
SQL (Trino dialect), PySpark
SQL (ANSI)
Client languages
Python, Java, JavaScript, Go, .NET
Java, Python, Go, JavaScript
Best for
Lakehouse, OLAP, Warehouse
Lakehouse, OLAP, Warehouse
Add more to this comparisonNot sure either fits? Try smart match

Amazon Athena vs Starburst: FAQ

What is the difference between Amazon Athena and Starburst?

Amazon Athena: Serverless AWS query service running Trino-based SQL directly over data in S3. Starburst: Commercial Trino platform: self-managed Starburst Enterprise and the Starburst Galaxy SaaS. Only Starburst has materialized views, encryption at rest.

When should I choose Amazon Athena over Starburst?

Choose Amazon Athena for ad-hoc SQL over S3 logs (CloudTrail, ALB, VPC flow); serverless lakehouse queries on Iceberg; and lightweight BI on curated S3 data. Choose Starburst for enterprise lakehouse on Iceberg; data mesh and data products; and federated queries across on-prem and cloud.

Is Amazon Athena or Starburst more popular?

Amazon Athena ranks #166 on the WhichDB Score (19.5/100) and Starburst ranks #820 (0.0/100). Popularity is not fit: check the requirements that matter for your project.

Are Amazon Athena and Starburst open source?

No. Amazon Athena is proprietary, closed-source software. No. Starburst is proprietary, closed-source software.