Learn how to use Dremio with Amazon S3 and Tableau
Deploy Dremio on AWS
Dremio’s Data Lake Engine delivers lightning fast query speed and a self-service semantic layer operating directly against S3.
Lightning-fast queries directly on S3
Apache Arrow, Data Reflections, and other Dremio technologies work together to speed up queries by up to 1,000x.
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Arrow Flight
Parallel zero-copy RPC between client & Dremio
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Columnar Execution
Elastic Apache Arrow-based vectorized execution
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Data Reflections
Patent-pending indexing & aggregation technology
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Columnar Cloud Cache (C3)
Real-time, distributed NVMe caching & prefetching
Self-service semantic layer
Analysts and data scientists can discover, explore and curate data using Dremio’s intuitive UI, while IT maintains governance and security.
Live joins between S3 & other AWS data sources
Join S3 with Redshift, RDS, EMR, MongoDB, and more – Dremio ships with over a dozen connectors, and Dremio Hub includes many more. You can even join across clouds.
Flexible and open
Dremio accesses your existing data in S3. You don't have to send your data to Dremio, or have it stored in proprietary formats that lock you in.
Strong security for AWS
Dremio has native support for multiple AWS security utilities for enterprise users, including configurable IAM roles, storage of credentials in AWS Secrets Manager, and server-side encryption for S3 objects.
