Dremio’s Next-Generation Reflections Technology Revolutionizes SQL Query Acceleration
2 min read
Santa Clara, CA – Dremio, the leading data lakehouse provider known for its user-friendly and open platform, has unveiled its groundbreaking Reflections technology, poised to reshape the world of SQL query acceleration. This innovative release promises sub-second analytics performance across an organization’s entire data ecosystem, regardless of data location, all at a fraction of the cost typically associated with cloud data warehouses.
Dremio’s Reflections technology is poised to unlock swift and efficient data access and analysis, redefining how insights are derived and making data analytics more accessible and cost-effective.
Andy Kenna, Senior Vice President and Head of Data at RenaissanceRe, shared his enthusiasm for Dremio Reflections, noting, “Dremio slashed our query times by over 99%, massively reducing our analytics costs. We had a production query that took 70 minutes to return. We deployed Dremio on top of Amazon S3, and query time dropped to 33 seconds. With Dremio Reflections, the query time was accelerated even further to just three seconds. We’re all blown away by the shocking performance we get from Dremio and Reflections.”
In addition to introducing Reflections, Dremio has optimized the way they are refreshed to further enhance query performance and drive cost efficiencies. Dremio now intelligently refreshes Reflections on Apache Iceberg tables, capturing incremental data changes instantly. This approach eliminates the need for full data refreshes, resulting in faster updates and lower compute costs.
Furthermore, Dremio Reflections are set to eliminate performance challenges for Business Intelligence (BI) dashboards and reports. They also remove the need for data teams to export data from the data lakehouse into BI extracts or imports for analytics. With Reflections, organizations can achieve sub-second performance for BI workloads without creating precomputed tables in the data lake or data warehouse, reducing work and complexity for data teams.
Tomer Shiran, Founder of Dremio, commented on the significance of Dremio Reflections, saying, “Dremio Reflections accelerate SQL queries by orders of magnitude, eliminating the need for BI extracts/imports and enabling companies to run their most mission-critical BI workloads directly on a lakehouse. With automatic recommendations and next-generation incremental updates, we’ve made it even easier for organizations to take advantage of this innovative technology.”
Dremio is a leading player in the data analytics space, providing an easy and open data lakehouse that combines self-service analytics with data warehouse functionality and data lake flexibility. Users can harness Dremio’s lightning-fast SQL query service alongside other processing engines on the same data, increasing agility with a revolutionary data-as-code approach. Dremio eliminates data silos, enabling queries across data lakes, databases, and data warehouses, all while simplifying data ingestion into the lakehouse.
Dremio’s fully managed service streamlines analytics, optimizing data for every workload. Committed to community-driven standards like Apache Arrow and Iceberg, Dremio is on a mission to reinvent SQL for data lakes, meeting customers where they are on their lakehouse journey.
