Dremio promotes its namesake data lakehouse platform, including Dremio Cloud, as providing self-service analytics with “data warehouse functionality and data lake flexibility.” The company’s data lake query engine is built using the Apache Arrow open-source development platform for in-memory analytics.
In March the company updated its data lakehouse platform with new functionality built around the Apache Iceberg format for analytic data tables. That followed November updates in the platform for writing and updating data, enhanced support for semi-structured data, and expanded business intelligence and data ecosystem integrations.
Dremio, based in Santa Clara, Calif., raised $160 million in Series E funding in January 2022.
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About Dremio
Dremio is the easy and open data lakehouse, providing self-service analytics with data warehouse functionality and data lake flexibility across all of your data. Use Dremio's lightning-fast SQL query service and any other processing engine on the same data. Dremio increases agility with a revolutionary data-as-code approach that enables Git-like data experimentation, version control, and governance. In addition, Dremio eliminates data silos by enabling queries across data lakes, databases, and data warehouses, and by simplifying ingestion into the lakehouse. Dremio's fully managed service helps organizations get started with analytics in minutes, and automatically optimizes data for every workload. As the original creator of Apache Arrow and committed to Arrow and Iceberg’s community-driven standards, Dremio is on a mission to reinvent SQL for data lakes and meet customers where they are on their lakehouse journey.
Hundreds of global enterprises like JPMorgan Chase, Microsoft, Regeneron, and Allianz Global Investors use Dremio to deliver self-service analytics on the data lakehouse. Founded in 2015, Dremio is headquartered in Santa Clara. CNBC recognized Dremio as a Top Startup for the Enterprise and Deloitte named Dremio to its 2022 Technology Fast 500. To learn more, follow the company on GitHub, LinkedIn, Twitter, and Facebook, or visit www.dremio.com.
