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e6data vs Starburst

e6data: Lakehouse compute engine that runs SQL on Iceberg, Delta and Hudi in your own cloud account. Starburst: Commercial Trino platform: self-managed Starburst Enterprise and the Starburst Galaxy SaaS.

key differences

  • Starburst is built for larger datasets (Multi-PB) than e6data (≤ 1 PB).
  • Transactions: e6data offers none ACID; Starburst offers limited.
  • Only Starburst has geospatial, materialized views, encryption at rest, time travel.

choose e6data for

  • +Cutting lakehouse compute cost
  • +High-concurrency BI on Iceberg/Delta
  • +Offloading queries from Spark or warehouses

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

e6dataLakehouse compute engine that runs SQL on Iceberg, Delta and Hudi in your own cloud account.
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
e6data
Starburst Data
First release
2023
2017
Latest version
–
483-e (Oct 16, 2026)
License
ProprietaryProprietary
ProprietaryProprietary (on an Apache-2.0 Trino core)
Free tier
—
—
popularity
WhichDB Score
7.4
0.0
Rank
#344
#820
GitHub stars
–
–
Stack Overflow questions
–
–
scale & guarantees
Comfortable data size
Large (≤ 1 PB)
Massive (Multi-PB)
Horizontal scaling
Native
Native
Multi-region
None
None
ACID
None
Limited
Consistency
Strong
Strong
Schema
Strict
Strict
Architecture
Distributed, Serverless
Distributed, Client server, Serverless
deployment
Self-hosted
—
✓
Vendor-managed cloud
✓
✓
Serverless
✓
✓
Embedded
—
—
Edge
—
—
Clouds
AWS, Azure, Google Cloud
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 (ANSI, Trino/Spark-compatible dialects)
SQL (ANSI)
Client languages
Python, Java
Java, Python, Go, JavaScript
Best for
Lakehouse, OLAP, Warehouse
Lakehouse, OLAP, Warehouse
Add more to this comparisonNot sure either fits? Try smart match

e6data vs Starburst: FAQ

What is the difference between e6data and Starburst?

e6data: Lakehouse compute engine that runs SQL on Iceberg, Delta and Hudi in your own cloud account. Starburst: Commercial Trino platform: self-managed Starburst Enterprise and the Starburst Galaxy SaaS. Starburst is built for larger datasets (Multi-PB) than e6data (≤ 1 PB). Transactions: e6data offers none ACID; Starburst offers limited. Only Starburst has geospatial, materialized views, encryption at rest, time travel.

When should I choose e6data over Starburst?

Choose e6data for cutting lakehouse compute cost, high-concurrency BI on Iceberg/Delta and offloading queries from Spark or warehouses. Choose Starburst for enterprise lakehouse on Iceberg; data mesh and data products; and federated queries across on-prem and cloud.

Is e6data or Starburst more popular?

e6data ranks #344 on the WhichDB Score (7.4/100) and Starburst ranks #820 (0.0/100). Popularity is not fit: check the requirements that matter for your project.

Are e6data and Starburst open source?

No. e6data is proprietary, closed-source software. No. Starburst is proprietary, closed-source software.