Dremio
Open data lakehouse platform (SQL engine + Apache Iceberg + Project Nessie) for unified analytics and AI directly on object storage.
Our Verdict
Strong open lakehouse play for Iceberg shops, but Snowflake still wins easy-button scenarios.
Pros
- Lakehouse SQL engine on object storage
- Native Apache Iceberg plus Nessie integration
- Query federation across sources in one view
- Reflections drastically cut query times
Cons
- Complex to tune reflections for best performance
- Competes with Snowflake on fuzzy value prop
- Cloud and self-hosted UX diverge somewhat
- Community smaller than Trino's
Best for: Teams going all-in on Iceberg and wanting unified BI on S3
Not for: Orgs wanting a single warehouse without lakehouse complexity
When to Use Dremio
Good fit if you need
- SQL analytics directly on S3/Parquet data lakes without ETL
- Unified lakehouse platform with Apache Iceberg and Nessie catalog
- Replacing Redshift with open-format data lake queries via SQL
- Branching and versioning Iceberg tables with Nessie for data CI
- Federated queries across S3, Snowflake, and Postgres in one UI
Lock-in Assessment
Low 5/5
Lock-in Score 5/5
Pricing
Price wrong?Dremio Pricing
- Pricing Model
- freemium
- Free Tier
- Yes
- Entry Price
- —
- Enterprise Available
- No
- Transparency Score
- —
Beta — estimates may differ from actual pricing
1,000
1001K10K100K1M
Estimated Monthly Cost
$25
Estimated Annual Cost
$300
Estimates are approximate and may not reflect current pricing. Always check the official pricing page.
Project Health
F
Health Score
1.5k 463
Bus Factor
2
Last Commit
7 months
Release Freq
N/A
Open Issues
54
Issue Response
N/A
License
Apache-2.0
Last checked: 2026-04-21
Community Discussion
Comments powered by Giscus (GitHub Discussions). You need a GitHub account to comment.