COMPARISON

Full Feature Comparison

Everything you need to know about what's included in each plan.

Criteria
Dremio Cloud Fully managed
Dremio Enterprise Self-hosted
AI Agent
AI Semantic Layer
Intelligent Query Engine
Open Catalog
Infrastructure Management
Dremio-managed
Self-managed
Supported Infrastructure
AWS (Azure Coming Soon)
K8S (On prem) or Cloud (AWS, Azure, GCP)
Upgrades
Automatic
Manual
Scalability
Automatic
Manual
Pricing Model
Consumption based
Consumption based
Free Trial
$400 credit for 30 days
Talk to Sales
Security
Enterprise Ready
Enterprise Ready
Best For
Teams wanting a zero-maintenance, cloud-native experience and fast time to value.
Organizations needing full control, on-prem requirements, or strict compliance constraints.
Dremio Cloud Fully managed

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RESOURCES

Running Snowflake, Redshift, or Databricks?

Everything you need to know about what's included in each plan.

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Slash Amazon Redshift Costs by 40–60% with Dremio’s Agentic Lakehouse
Product Insights

Slash Amazon Redshift Costs by 40–60% with Dremio’s Agentic Lakehouse

Dremio provides an alternative: keep Redshift for the workloads that need it, but offload the repetitive, expensive dashboard and reporting queries to Dremio's engine. Dremio's Autonomous Reflections serve those queries from Apache Iceberg tables on your own S3 storage, bypassing Redshift compute entirely. The result is a 40-60% reduction in Redshift compute costs in the first month, without migrating a single table.

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How to Cut Your Snowflake Bill by 40-60% with Dremio’s Agentic Lakehouse
Product Insights

How to Cut Your Snowflake Bill by 40-60% with Dremio’s Agentic Lakehouse

Dremio provides a different approach. Instead of replacing Snowflake entirely, you can layer Dremio on top of it, offloading the expensive, repetitive queries to Dremio's engine while keeping Snowflake for the workloads it handles best. Dremio's Autonomous Reflections, AI-powered analytics, and federated query engine reduce the compute Snowflake needs to process, often cutting the bill by 40-60% in the first month.

Alex Merced Alex Merced
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Reduce Databricks Compute Costs by 40–60% with Dremio’s Agentic Lakehouse
Product Insights

Reduce Databricks Compute Costs by 40–60% with Dremio’s Agentic Lakehouse

Dremio's Agentic Lakehouse provides an alternative for the workloads that drive the highest Databricks spend: interactive analytics, BI dashboards, and ad-hoc queries. By offloading these queries to Dremio's engine with Autonomous Reflections, you eliminate the DBU consumption and the underlying cloud compute for 60-80% of your analytical workload. Meanwhile, Databricks stays in place for the heavy processing it does well: ETL pipelines, ML training, and Spark-based transformations.

Alex Merced Alex Merced
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FAQs

Frequently Asked Questions

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A Dremio Compute Unit (DCU) measures engine runtime — including query execution, Reflections, background processing, and platform overhead. DCU pricing is time-based, not per query, calculated as engine size × minutes running (e.g. a 20-DCU engine running for 10 hours consumes 200 DCUs). Infrastructure costs are fully included in DCU pricing.

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