Matt Sarrel

← GridGain Blog

Position:
Director of Technical Marketing at GridGain Systems
Bio:

 

Apache® Cassandra™ is a popular NoSQL database that does certain things incredibly well. It can be always available, with multi-datacenter replication. It is also scalable and lets users keep their data anywhere. However, Cassandra is lacking in speed. Cassandra is not fast enough for some of today’s extreme OLTP workloads because it stores data on disk. Cassandra also shares certain limitations of other NoSQL databases...
Financial fraud is now a multi-billion-dollar business and growing rapidly, with Juniper Research predicting that online fraud alone will climb from $10.7 billion in 2015 to 25.6 billion in 2020. Financial fraud prevention is critical as failure to detect and prevent fraud can harm the reputations of financial firms and reduce confidence in the industry as a whole. Protecting their customers from fraud and protecting...
Please join me for a webinar on January 31 at 11:00am PT / 2:00pm ET to learn how to take your eCommerce to the next level with the unrivaled performance and scale provided by in-memory computing. If your eCommerce initiatives are struggling to keep up with customer demand, then in-memory computing may be the solution you need to take performance and scale to the next...
GridGain Systems has released GridGain Professional Edition 1.8, a fully supported version of Apache® Ignite™ 1.8. GridGain and Apache Ignite are in-memory computing platforms deployed between the data and application layers that work with all popular RDBMS, NoSQL and Hadoop databases. They provide data intensive applications with the ability to scale out to petabytes of data and accelerate application performance by 1,000x or more compared...
Distributed In-Memory SQL Queries in Apache® Ignite™ Webinar Recap Apache® Ignite™, the foundation of the GridGain in-memory computing platform, contains an in-memory SQL engine that is fully ANSI-99 compliant. This means that developers don’t have to rewrite existing SQL queries to take advantage of the performance and scale offered by Ignite. There is a significant performance gain running SQL queries in Ignite because they are...