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SQL on Distributed GPUs now available on AWS Marketplace

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SQL rocks, until it doesn’t.

If you have ever worked with SQL you know what I’m referring to. You loaded up too much data into your database, and now every query you type comes back with the speed of what could only appear to be a software program written in the Cretaceous Period.

That’s why we’re excited to announce you can now spin up small and large BlazingDB servers on Amazon Web Service’s (AWS) Marketplace in a matter of minutes.

We are a distributed SQL database built to take advantage of cutting edge graphics processors.

So if you are used to using other high performance databases, such as AWS’ Redshift, you’ll immediately see the 5x, 10x, even 20x performance gains with BlazingDB. No need to configure or optimize, BlazingDB analyzes the data stored in the database and self optimizes over time.

Getting started has never been easier. First off you’ll need to go to the AWS Marketplace page for BlazingDB.

Find us in the AWS Marketplace

From there choose to startup a new server, and enter the characteristics of your server.

Launch a BlazingDB Instance with 1-Click

At this point you’ll need to wait a few minutes while AWS provisions the servers and BlazingDB fully installs.

Once your servers ready to go you will want to login to the BlazingDB Workbench. The “1-click Launch” will have created a new AWS Security Group with port 8443 opened. So open a new tab in your browser and enter the url:

https://[IP Address assigned to your EC2]:8443

The main admin login credentials are simply “admin” with your AWS assigned Instance-ID as the password.

Login to the Workbench

From there you just need to write your “Create Table” statements, and then with that we’ll just quickly load up some files that we have stored on AWS S3.

And just like that we’re now able to run queries on millions of rows.

Loading Data and Running Queries

And there you go. Just like that, and in a matter of minutes we were able to spin up a GPU cluster with BlazingDB, load up a CSV file, and then start running queries.


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