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December 2-5, 2024
Las Vegas, NV
Booth #1638

The cloud data analytics event of the year

Amazon S3 represents the first destination for greater volumes and variety of customer and operational data. Meet Dremio at re:Invent in Las Vegas to learn how our Hybrid Lakehouse for the Business can help you get the most out of your cloud data lake. Learn more about Dremio in the Amazon Marketplace.

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Join us at booth #1638 to be entered into our daily raffle. You will have a chance of winning some amazing prizes!


Hear what others are saying in the Marketplace

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Dream big with Dremio for analytic data processing

“Dremio is a game changing tools that enhance our consultation service company to provide client with all the forecast, data management, and data transformation that client require. Easy tools to operate is the main attraction and visualized analytics report tools help client understand data that we present. Running K8 deployment/setup is easy with the help from detailed documentation. Apache Hadoop integration simplifies data distribution workflows.”

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Modern Data Platform Analytics engine

“Very fast. Supports Apache Iceberg as well as regular parquet file based tables. Supports large workload - we are running 500,000 queries reading 2PB of data daily. Arrow Flight is another great technology utilized by Dremio that increases end to end data pipeline performance.”

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Dremio as a next-generation lakehouse engine

  • Dremio allows business users to access data easily on multiple platform (HDFS, Oracle RDBMS, SQL Server, Json, etc.)
  • Standardized semantic layer: Eliminate the need for copying and moving data—no more cubes, aggregation tables or extracts—and recurring instances of data drift.
  • Accelerate dashboards and reports: Integrate BI tools such as Tableau, PowerBI directly with Dremio and accelerate dashboard/reporting queries
  • Accelerate ad-hoc queries: Driving lightning-fast queries directly on your data lake storage. Dremio’s combination of technologies—including an Apache Arrow-based engine.

Make data engineers and analysts 10x more productive

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