Dremio Arctic
Dremio Arctic is the only data lakehouse management service that features data as code functionality, automatic maintenance, and open standards and technology.
Engine
Freedom
Data as Code
Management
Automatic
Data Optimization
Dremio Arctic makes it easy for data teams to manage and maintain their data lakehouse while enabling high-performance analytics based on a consistent view of the data.
Arctic Demo
6 min
Dremio Arctic is a Lakehouse Catalog
Dremio Arctic is built for Apache Iceberg, provides easy management of multiple domains, and gives data teams centralized security and governance.
Iceberg-Native
Nessie (the Arctic catalog) is built into the open source Apache Iceberg project.
Use a variety of Iceberg-compatible engines including Dremio Sonar, Spark and Flink.
If you’re new to data lake table formats, start with this comparison ->
Multiple Domains
Multiple isolated domains/catalogs in an organization, each containing a folder hierarchy of tables and views.
Designed to enable data mesh (including federated ownership and data sharing)
Access Control (Coming soon!)
Table, column- and row-based access control
Custom roles and integration with existing user/group directories (AAD, Okta, etc.)
Manage your Data as Code
Dremio Arctic uses branches, tags, and commits to simplify data management, eliminate expensive data copies, and give data consumers a consistent view of the data.
Isolation
Experiment with data without impacting other users.
Version Control
Reproduce models and dashboards from historical data, and easily recover from mistakes by undoing accidental data or metadata changes.
Governance
Track all changes to the data and metadata.
Automatic Data Optimization
Dremio Arctic automates many tedious data management tasks so the data lakehouse is always efficient and performant.
Table Optimization
Dremio Arctic automatically rewrites smaller files into larger files, and groups similar rows in a table together. Table optimization accelerates query performance.
Table Cleanup
Dremio Arctic automatically removes unused manifest files, manifest lists, and data files. Table Cleanup ensures efficient use of storage resources.
