The team at Dremio was ecstatic to have a presence at AWS Re:Invent for the first time this year! We were thrilled to share the capabilities of Dremio’s Data Lake Engine with the adopters, creators, and evangelists of Amazon S3.
Starting at the opening reception, we were able to share our story with the massive number of companies across the world that are moving their data to the cloud. Dremio’s Data Lake Engine delivers lightning fast query performance and a self-service semantic layer that operates directly against your data lake storage, like S3!
There were a record number of attendees who took our survey on Cloud Data Lakes - thanks to everyone who participated! We’ll be doing some exciting things with the insights from this survey - be sure to follow us on LinkedIn or Twitter so you don’t miss the announcement!
Additionally, Dremio had our own meeting space at Re:Invent where our executive team was able to meet face to face with companies already using Dremio! Across the board, we heard excitement from these teams all thrilled with the flexibility and performance that Dremio provides. In addition to these meetings, our CEO, Tomer Shiran, and VP of Sales, Collin Weitzman, were able to spend some time on the expo hall floor speaking with attendees!
The full team enjoyed a night out on the town (how can you not when you’re in Vegas?!). As always, thank you to the team that spent a week away from the office to help make this event a success! It’s always great to spend time with the remote team - looking forward to seeing you all at the exciting events we have coming up in 2020!
Explore this interactive demo and see how Dremio's Intelligent Lakehouse enables Agentic AI
Deploy agentic analytics directly on Apache Iceberg data with no pipelines and no added overhead.
Hadoop modernization on AWS with Dremio represents a significant leap forward for organizations looking to leverage their data more effectively. By migrating to a cloud-native architecture, decoupling storage and compute, and enabling self-service data access, businesses can unlock the full potential of their data while minimizing costs and operational complexity.
With lakeFS, you version everything: Iceberg tables, images, models, logs. With Dremio, you query and analyze it all, structured or not, at scale. Together, they bring Git-style control and interactive querying to your data lake, so you can build more intelligent, version-aware workflows without sacrificing flexibility or performance.
Described by Microsoft as a “no-compromise data lake”, ADLS Gen 2 extends the capabilities of Azure Blob Storage and is optimized for large scale analytics workloads.
