dremio platform
Dremio for Apache Iceberg
Enterprise, Apache Iceberg Solutions and Capabilities for the Lakehouse
Overview
Apache Iceberg is now the de facto open table format for the data lakehouse
Designed to natively support Apache Iceberg, Dremio enables efficient data management and high-performance queries, with unified analytics in the Cloud, on-premises, or hybrid.
Enterprise Data Catalog for Apache Iceberg
Apache Iceberg is the dominant open table format for the lakehouse. Dremio's Modern Data Catalog is built using Project Nessie, and designed natively for Iceberg. The Data Catalog lets you take full advantage of Iceberg capabilities, including DML and automated data optimization. You can also use a variety of Iceberg-compatible engines, including the Dremio SQL Query Engine, Spark, and Flink.
SQL Query Engine designed for Apache Iceberg
Dremio's Query Engine is the only engine optimized for the best price performance and efficiency on Apache Iceberg, and across all your data. Designed for the data lakehouse, Dremio delivers sub-second BI workloads directly on your data lake and across all your data sources with no data movement.
Lakehouse Management for Apache Iceberg
Dremio's data lakehouse management service for Apache Iceberg enables data teams to manage their data with Git-like version control and automatically optimize their data for high performance analytics.
Git for Data for Virtual Data Versioning
Simplify data management with Git-inspired versioning capabilities, such as branching and tagging, on Dremio's enterprise Apache Iceberg Data Catalog, eliminating expensive data copies and giving data consumers a consistent view of the data.
resources
A Content Guide to Get You Started
Apache Iceberg Basics
Apache Iceberg Features
Apache Iceberg Ecosystem
Apache Iceberg Hands-on
