The Dremio Blog

How copy-on-write and merge-on-read work in Apache Iceberg.

This blog post features the history behind Apache Arrow and how it addresses modern challenges in today’s data landscape.

Learn about the differences in partitioning with Apache Iceberg, Apache Hudi, and Delta Lake.

Learn how to migrate your existing Hive tables into Apache Iceberg tables to take full advantage of features like Version Rollback, Partition Evolution and more.

Learn about the differences in the governance and communities behind open source table formats like Apache Iceberg, Apache Hudi, and Delta Lake.

Learn about hidden partitioning and why it is such a valuable feature of Apache Iceberg tables.

Apache Iceberg, Apache Hudi, and Delta Lake: A Comparison of Data Lake Table Formats

Learn how to architect a migration from your existing Hive tables into Apache Iceberg tables to take full advantage of features like Version Rollback, Partition Evolution and more.

Learn about the strategies and best practices for maintaining Apache Iceberg tables.

Apache Iceberg 0.13.0 released several new features and integrations with different platforms.

About the newly announced Apache Arrow Flight SQL and why it matters.

Apache Arrow Flight SQL brings data access into the modern age.

Nessie does this with its branching functionality to track changes to multiple copies of the same data, and version control to track these changes over time so they can be merged back into production safely, consistent and atomically.

Arrow Flight SQL JDBC driver increases performance, and reduces the technical installation burden on applications and users

Over the past few decades, databases and data analysis have changed dramatically. With these trends in mind, a clear opportunity emerged for a standard in-memory representation that every engine can use—one that’s modern, takes advantage of all the new performance strategies that are available, and makes sharing of data across platforms seamless and efficient. This […]