Pricing Overview
Dremio is a lakehouse analytics platform that lets teams run SQL queries directly against data lake storage (S3, ADLS, GCS) without copying data into a separate warehouse. The pricing model is freemium: a free tier for individuals, a Pro tier at $29 per month, and custom Enterprise pricing for larger deployments.
Plan Comparison
| Plan | Monthly Price | Users | Key Capabilities |
|---|---|---|---|
| Free | $0 | 1 | SQL query engine on data lakes, Apache Iceberg table management, basic data catalog, community support |
| Pro | $29 | Unlimited | Everything in Free plus query acceleration (reflections), role-based access, job prioritization, enhanced concurrency, email support |
| Enterprise | Custom | Unlimited | Everything in Pro plus dedicated compute clusters, SSO/SAML, audit logging, dedicated support engineer, SLA guarantees |
The free tier works well for solo exploration against an existing data lake. The Pro tier's main additions — query reflections and multi-user access — are essential once a team is involved.
Hidden Costs and Considerations
Dremio's subscription covers the query engine, but underlying infrastructure costs remain the user's responsibility:
- Cloud storage costs: Dremio reads from S3, ADLS, or GCS. Frequent full-table scans on large Parquet/Iceberg datasets generate significant cloud storage API call charges. Partition pruning and reflection materialization reduce this.
- Compute infrastructure: Self-hosted Dremio runs on your Kubernetes cluster or VMs. A production-grade coordinator plus 3 executor nodes on AWS typically costs $400 to $1,200 per month in EC2 alone. Dremio Cloud manages this but rolls it into consumption pricing.
- Reflection storage: Dremio's reflections (materialized query accelerators) consume additional storage. A typical production deployment with 20 to 50 reflections may use 100 GB to 500 GB of extra storage.
- Catalog and governance integrations: Connecting Dremio to external catalogs like AWS Glue or Hive Metastore requires configuration but no extra Dremio fee. However, Glue catalog API calls are billed by AWS.
Cost Estimates by Team Size
- Solo data engineer: $0 on the free tier. If using Dremio Cloud, compute is consumption-based. Self-hosted on a single-node setup costs roughly $50 to $100 per month in cloud infrastructure.
- Small analytics team (3 to 10 members): $29 per month for Pro. Self-hosted infrastructure for a 3-node cluster runs $400 to $800 per month. Dremio Cloud consumption varies by query volume.
- Enterprise data platform (20+ members): Custom pricing. Self-hosted clusters with 8 to 16 executor nodes, HA coordinators, and dedicated reflection storage typically cost $2,000 to $5,000 per month in infrastructure, plus the Dremio Enterprise license.
How Dremio Pricing Compares
- Trino / Presto: Open-source and free, but require full self-management of clusters, security, and catalog integration. Dremio adds a managed experience, reflections for query acceleration, and a built-in semantic layer on top of the same federated query concept.
- Snowflake: A fully managed warehouse with consumption-based pricing (credit model). Snowflake eliminates infrastructure management entirely but requires data to be loaded (ETL/ELT), whereas Dremio queries data in place. For teams already committed to a data lake architecture, Dremio avoids the data duplication cost.
- Databricks SQL Warehouse: Runs on the same lake storage as Dremio. Pricing is per-DBU (Databricks Unit). Databricks offers a broader platform (notebooks, ML, pipelines) but at higher cost for pure SQL analytics workloads compared to Dremio's focused query engine.