Apache Druid 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.
Apache Druid
Apache Druid is an open source analytics database designed for fast queries and real-time data ingestion. It excels at powering UIs, running operational queries, and handling high concurrency.
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.
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 Druid
- Apache Kafka
- Amazon Kinesis
Dremio
Leader- Apache Iceberg
- Apache Polaris
- dbt
- PostgreSQL
- MySQL
- MongoDB
- DynamoDB
- Oracle
- SQL Server
- DB2
- AWS EMR
- AWS Glue
- Apache Spark
Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.