We are engineering a new type of database to meet the demands of scalability and performance for a rapidly expanding world of data.
Everything is data.
Our solution is a massively parallel distributed database. The data is managed in memory to provide unbelievable performance gains.
Making Cheetahs Blush
Our solution is fast, really fast. Data is distributed across all the nodes in our system where it is stored in-memory. This design allows us to return queries (even relational queries) in seconds, even milliseconds, not days or weeks or gasp...months.
So what are we doing?
Current RDBMSs fail to deliver the scale and speed required to handle the volume of continuously streaming data being generated by today's applications and websites. While NoSQL solutions lack the ability to query complex data sets and Streaming Query solutions lose granularity of data. We set out to conquer this problem by starting fresh and rethinking how to handle massive datasets and streaming data.
Built for Developers
We are building a database that removes technical obstacles that traditional systems force developers to overcome on their own. Developers get to spend their time on actual business logic and not how to work around technical limitations like scale, load balancing or performance.
Huge is the New Big
Data collection technology and the Internet have made really big numbers part of our vocabulary. But how big is BIG? Big used to be measured in thousands or millions and today's datasets are now in hundreds or thousands of billions. We are using parallel distributed computing in conjunction with in-memory database technology to tackle the challenges of modern data.
