Dremio, the unified lakehouse platform for self-service analytics and AI, is offering a “breakthrough” in data lake analytics performance capabilities, extending its position as the premier company in self-optimizing, autonomous Iceberg data management.
By accelerating outcomes and eliminating complexity with new market-leading features, Dremio enables organizations to reduce total cost of ownership (TCO) and time-to-business-insight, according to the company.
With these latest enhancements and continued support for Iceberg, Dremio delivers market-leading SQL query and write performance, improved federated query security, and streamlined data ingestion.
Now generally available, new features and latest advancements to the Platform provide valuable tools for enterprises looking to enhance their data analytics capabilities and include:
- Live Reflections, which ensures that the materialized views and aggregations are automatically updated. Whenever changes are made to base Iceberg Tables, Dremio automatically triggers updates to the views and aggregations that are used for acceleration.
- Result Set Caching, which accelerates query responses up to 28x across all data sources by storing frequently accessed query results, allowing businesses to make data-driven decisions with unparalleled speed and precision.
- Dremio’s Reflections, an innovative query acceleration technology that delivers sub-second performance for analytical workloads, is now smarter and more streamlined, eliminating management and maintenance tasks.
- Dremio’s Reflection Recommendations analyzes query patterns and recommends both materialized views and aggregations.
- Automatic Iceberg Data Ingestion simplifies and automates the development and management of Apache Iceberg data pipelines, making it easier to adopt the industry’s dominant open table format. New Auto Ingest Pipes for Iceberg tables in AWS enable seamless data loading from S3, making data loading easier and reducing the maintenance associated with data ingestion pipelines. Notification-based auto ingest ensures continuous updates with fresh data, driving faster insights and better performance.
“We continue to deliver market-leading performance and manageability for Iceberg lakehouses to our customers,” said Tomer Shiran, founder of Dremio. “With Live Reflections, result set caching, and merge-on-read, Dremio pushes the boundaries of high-performance analytics in lakehouse environments. In addition, by utilizing our new Auto Ingest Pipelines as well as improved query federation capabilities, companies can now reduce the complexity of data movement and the set up and management of data pipelines.”
To learn more or for more information, visit www.dremio.com.
