GPU-Accelerated Analytics on your Data Lake

We help you run fast, simple, scalable SQL on massive data sets.


The next generation of SQL data warehousing

Have you invested in these data lake technologies?

Distributed file systems are a great way to build cost effective and highly scalable storage solutions for enterprise, but their operational value is limited. Either analysts have to adopt complicated distributed systems with massive learning curves, or data engineering teams need to build out complex data staging processes in order to parse the data into digestible chunks.

Have you built a data lake on top of any of these technologies?

Distributed file systems are a great way to build cost effective and highly scalable storage solutions for enterprise, but their operational value is limited. Either analysts have to adopt complicated distributed systems with massive learning curves, or data engineering teams need to build out complex data staging processes in order to parse the data into digestible chunks.

Architecture

A state of the art database management system.

Architecture

A state of the art database management system.


Benefits

Blazing Fast

BlazingDB delivers unprecedented SQL speeds for data warehouse workloads. The SQL engine is built to run on a cluster of distributed GPU servers. SQL operations are vectorized to run over thousands of processing cores for each server in a cluster.

Highly Elastic Scalability

Run a handful, dozens, or ever hundreds of GPU servers in a single cluster. BlazingDB has GPU-accelerated data skipping, which enables our engine to bring over only what is necessary from the data lake, and manage our cache, which leverages multi-tiered storage media (RAM, SSD, HDD) on the compute servers.

Agile

Stand up a cluster in minutes, and start running real time SQL on the Parquet files in your data lake. No partition columns, no indexing, join a column to any other column without a care in the world (well, make sure the data types match).

Secure

BlazingDB supports low level database permissions with existing industry security standards. Enterprise grade security with LDAP integration.

Made for Concurrency

BlazingDB is built to support hundreds of concurrent queries coming in from thousands of analysts at a time. Need even more than that? Create separate GPU clusters for different workloads on top of the same data lake, and scale even further.

Data Sharing

Share a singular data source across multiple, unique data warehouse clusters. Have a production cluster running mission critical analyses and dashboards, while analysts and customers have their own BlazingDB cluster. All running off the same original data source in the data lake, but no one impacting the workloads of the other.

Benefits

Blazing Fast

BlazingDB delivers unprecedented SQL speeds for data warehouse workloads. The SQL engine is built to run on a cluster of distributed GPU servers. SQL operations are vectorized to run over thousands of processing cores for each server in a cluster.

Highly Elastic Scalability

Run a handful, dozens, or ever hundreds of GPU servers in a single cluster. BlazingDB has GPU-accelerated data skipping, which enables our engine to bring over only what is necessary from the data lake, and manage our cache, which leverages multi-tiered storage media (RAM, SSD, HDD) on the compute servers.

Agile

Stand up a cluster in minutes, and start running real time SQL on the Parquet files in your data lake. No partition columns, no indexing, join a column to any other column without a care in the world (well, make sure the data types match).

Secure

BlazingDB supports low level database permissions with existing industry security standards. Enterprise grade security with LDAP integration.

Made for Concurrency

BlazingDB is built to support hundreds of concurrent queries coming in from thousands of analysts at a time. Need even more than that? Create separate GPU clusters for different workloads on top of the same data lake, and scale even further.

Data Sharing

Share a singular data source across multiple, unique data warehouse clusters. Have a production cluster running mission critical analyses and dashboards, while analysts and customers have their own BlazingDB cluster. All running off the same original data source in the data lake, but no one impacting the workloads of the other.

Let's Get Started!

We are here to help and we would love to chat with you.

CHECK OUT OUR COMMUNITY EDITION

Free for life community edition. Test it out, use in small production use cases, or just let us know what would make it even better.

Download

SCHEDULE A DEMO

We would love to show you how the engine works. Hop on a video conference with us and check out BlazingDB in action.

Demo

OUR 1-CLICK ENTERPRISE EDITION

Launch a full enterprise cluster in minutes.
Get all.

Aws Marketplace
Let's Get Started!

We are here to help and we would love to chat with you.

CHECK OUT OUR COMMUNITY EDITION

Free for life community edition. Test it out, use in small production use cases, or just let us know what would make it even better.

Download

SCHEDULE A DEMO

We would love to show you how the engine works. Hop on a video conference with us and check out BlazingDB in action.

Demo

OUR 1-CLICK ENTERPRISE EDITION

Launch a full enterprise cluster in minutes.
Get all.

Aws Marketplace