Databricks vs Dremio
On the evidence we track, Dremio leads this comparison with a composite score of 72/100. Scores are only directly comparable because these tools share a category; the full breakdown and every source is below.
Capabilities
Feature-by-feature on the axes that matter for data warehouse software. “-” means undocumented, not absent.
What each one is
The product in its own terms, so the numbers below have context.
Databricks
An integrated data and AI platform built on open formats that merges transactional reliability with analytics and machine learning capabilities, enabling organizations to manage data, models, and AI applications together without vendor lock-in.
Dremio
LeaderAn open-source lakehouse platform built on Apache Iceberg that enables data analytics and AI workloads with support for CDC, multi-source ingestion, and SQL-based querying.
Pricing
List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.
Databricks
Pay-as-you-go usage-based pricing from $0.069 / DBU or CU per second. Committed Use Contracts available for volume discounts. Free tier available.
- Data EngineeringFrom $0.15 / DBU per second
- Orchestrate data processing
- Build streaming and batch pipelines
- Ingest data from multiple sources
- Data WarehousingFrom $0.22 / DBU per second
- SQL analytics
- BI reporting
- Available in Classic and Serverless compute
- Interactive WorkloadsFrom $0.40 / DBU per second
- Data science workloads
- Build custom applications
- Security and governance
- Operational DatabaseFrom $0.069 / CU per second
- Postgres database
- Data and feature serving
- Artificial IntelligenceFrom $0.07 / DBU per second
- GenAI applications
- Model Serving
- AI Functions
- Model Training
- GenieFree
- Natural language Q&A
- AI Coding Assistant
- Enterprise Knowledge access
Dremio
LeaderFrom $0.20 per DCU. Free Community Edition. 30-day free trial.
- Dremio Cloud$0.20 per DCU. $400 credit free trial for 30 days.
- Fully managed infrastructure (AWS, Azure coming soon)
- Automatic scaling and optimization
- Automatic feature releases
- Zero infrastructure management
- AI Agent
- +4 more
- Dremio EnterpriseContact sales
- Self-managed on Kubernetes, on-premises, or cloud (AWS, Azure, GCP)
- Full control over infrastructure, security, compliance
- Flexible deployment options
- AI Agent
- AI Semantic Layer
- +4 more
- Dremio Community EditionFree
- Query engine
Platform & deployment
Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.
Integrations
What each product connects to. Counts come from the vendor's own integration directory where one exists.
- Apache Spark
- Apache Iceberg
- dbt
Databricks
- Teams
- Slack
- Confluence
- Power Platform
- Copilot Studio
- Zerobus
- Microsoft Power Platform
- Microsoft Teams
- MLflow
- Delta Lake
- Unity Catalog
- Lakeflow
- Databricks SQL
- Databricks Genie
- Lakebase
- Trino
- LangChain
- PyTorch
- DSPy
Dremio
Leader- Apache Polaris
- PostgreSQL
- MySQL
- MongoDB
- DynamoDB
- Oracle
- SQL Server
- DB2
- AWS EMR
- AWS Glue
- Postgres
- Kafka
Databricks or Dremio: which one depends on you
A composite score cannot know your constraints. Describe them and both get re-weighted against what you actually need, with the evidence behind every position.
Free to run, no account needed to start. How the evaluation works
Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.