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Is Query Performance Slowing Down Your AI and Analytics Initiatives? Slow analytics and AI workloads frustrate users and delay critical insights, draining productivity. If waiting for queries to load feels like the norm, you’re not alone. But what if query performance could be accelerated—automatically, without requiring any specialized expertise or manual intervention? Enter Autonomous Reflections. […]
Several of the world’s largest data-driven organizations use Dremio to facilitate rapid analytics and achieve sub-second query response times directly on the lakehouse. Reflections are one of the primary technologies in Dremio’s query acceleration toolkit. Reflections are materializations that are aggregated, sorted, and partitioned in a variety of ways, and transparently accelerate queries irrespective of […]
We are thrilled to announce the release of an enhanced vectorized Parquet Reader in Dremio software version 24.3 and Dremio Cloud. This Dremio-exclusive reader improves query performance up to 75% for Parquet datasets encoded with the Parquet V2 encodings. Apache Parquet-MR Writer version PARQUET_2_0, which is widely adopted by engines that write Parquet data, supports […]
Dremio Reflection Recommender We are delighted to announce the release of the new Dremio Reflection Recommender. The Reflection Recommender eliminates guesswork by facilitating the creation of Reflections that will accelerate the input query workload. This capability is available now in Dremio Cloud and 24.2 release of Dremio software. Accelerate BI workloads with Reflections in seconds […]
We are delighted to announce the release of new Intelligent Reflection Refresh. Now, Dremio will automatically select the fastest and most cost-effective Reflection refresh method based on table operations performed since the last refresh. Prior to this release, Dremio would refresh a Reflection anchored on an Apache Iceberg table from scratch; with this feature, Reflections […]
Use Dremio to run select, create, insert, delete, update, and merge commands directly on your Apache Iceberg tables. Do all your work in one place!
