Simplify your data engineering and get results–in seconds
Dremio, the SQL Lakehouse company, is shattering a 30-year-old paradigm that holds virtually every company back — the belief that, in order to query and analyze data, data teams need to extract and load it into costly and proprietary data warehouses.
Dremio simplifies data engineering and eliminates the need to copy and move data, providing flexibility and control for data architects and data engineers, and self-service for data consumers.
Dremio enables high-performing BI dashboards and interactive analytics directly on S3, all from your AWS account. And, Dremio is not only easy to use, it is easy to scale.
For a limited time, Dremio is offering AWS For a limited time, Dremio is offering 30 days of Dremio AWSE + AWS Consumption Credits for FREE.*
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* Offer only valid for qualified AWS Activate program participants who are not current Dremio customers. AWS Consumption credits are limited to $1,000 for the 30 day period.
Dremio Benefits
As a Dremio customer, you’ll have access to the resources you need to successfully grow your business
Dremio Enterprise
The full-feature version of Dremio available through the AWS Marketplace
Dedicated Success Manager
Enterprise-class support from our data lake experts who are committed to your success
Free Technical Training
Free online courses designed to optimize your data lake and accelerate time to results
A Built-In Community
Join the community of data professionals to learn, engage and innovate together
The SQL Lakehouse Platform
Open
Separate data, not just storage, from compute so you can future-proof your analytics architecture to leverage best-of-breed applications and engines today — and tomorrow.
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Lightning-fast
Accelerate ad hoc queries 4x and BI queries 100x versus other SQL engines, eliminating the need for cubes, extracts or aggregation tables, and even to ETL your data into a data warehouse.
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Productive
Provision new datasets with consistent KPIs and business logic in minutes, not days or weeks. Empower analysts to create their own derivative datasets without making copies of data.
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Efficient
Easily size the minimum compute required for each workload, and only consume compute when running queries. Reduce compute infrastructure and associated costs by up to 90%.
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