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Dremio vs e6data

Dremio: Iceberg-native lakehouse query engine with reflections for acceleration, owned by SAP since 2026. e6data: Lakehouse compute engine that runs SQL on Iceberg, Delta and Hudi in your own cloud account.

key differences

  • Transactions: Dremio offers limited ACID; e6data offers none.
  • Only Dremio has materialized views, durable persistence, compression, encryption at rest, time travel.
  • e6data has a serverless option; Dremio does not.

choose dremio for

  • +Iceberg lakehouse BI acceleration
  • +Semantic layer over a data lake
  • +SAP-centric data platforms
  • +Warehouse offload

best at · Lakehouse, OLAP, Warehouse

choose e6data for

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

best at · Lakehouse, OLAP, Warehouse

DremioIceberg-native lakehouse query engine with reflections for acceleration, owned by SAP since 2026.
e6dataLakehouse compute engine that runs SQL on Iceberg, Delta and Hudi in your own cloud account.
overview
Primary model
Relational
Relational
Also supports
Columnar / OLAP
Columnar / OLAP
Type
Database engine
Managed service
Status
Active
Active
Developer
Dremio (SAP)
e6data
First release
2017
2023
Latest version
–
–
License
ProprietaryProprietary (legacy Community Edition under Apache-2.0)
ProprietaryProprietary
Free tier
—
—
popularity
WhichDB Score
12.7
7.4
Rank
#262
#344
GitHub stars
1.5K
–
Stack Overflow questions
74
–
scale & guarantees
Comfortable data size
Large (≤ 1 PB)
Large (≤ 1 PB)
Horizontal scaling
Native
Native
Multi-region
None
None
ACID
Limited
None
Consistency
Strong
Strong
Schema
Strict
Strict
Architecture
Distributed, Shared storage, Client server
Distributed, Serverless
deployment
Self-hosted
✓
—
Vendor-managed cloud
✓
✓
Serverless
—
✓
Embedded
—
—
Edge
—
—
Clouds
AWS, Azure
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
SQL (ANSI, Trino/Spark-compatible dialects)
Client languages
Python, Java, Go, JavaScript
Python, Java
Best for
Lakehouse, OLAP, Warehouse
Lakehouse, OLAP, Warehouse
Add more to this comparisonNot sure either fits? Try smart match

Dremio vs e6data: FAQ

What is the difference between Dremio and e6data?

Dremio: Iceberg-native lakehouse query engine with reflections for acceleration, owned by SAP since 2026. e6data: Lakehouse compute engine that runs SQL on Iceberg, Delta and Hudi in your own cloud account. Transactions: Dremio offers limited ACID; e6data offers none. Only Dremio has materialized views, durable persistence, compression, encryption at rest, time travel. e6data has a serverless option; Dremio does not.

When should I choose Dremio over e6data?

Choose Dremio for iceberg lakehouse BI acceleration, semantic layer over a data lake and SAP-centric data platforms. Choose e6data for cutting lakehouse compute cost, high-concurrency BI on Iceberg/Delta and offloading queries from Spark or warehouses.

Is Dremio or e6data more popular?

Dremio ranks #262 on the WhichDB Score (12.7/100) and e6data ranks #344 (7.4/100). Popularity is not fit: check the requirements that matter for your project.

Are Dremio and e6data open source?

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