GridGain Systems Conferences

GridGain Systems product manager Denis Magda will be speaking at the Big Data and Cloud Meetup September 9 from 10 a.m. to noon. His talk is titled: "Apache Spark and Apache® Ignite™: Where Fast Data Meets the IoT." Location: Hacker Dojo, 3350 Thomas Road, Santa Clara, CA

If downtime is not an option for you, and your application needs to be extremely low-latency, Kubernetes® and Apache® Ignite™ are open source frameworks that work exceedingly well together to achieve these goals.

It’s well known that there is a tradeoff between data consistency and high availability. But at the same time, there are lots of applications that still require very strong consistency guarantees, and making such applications highly available can be quite a challenge.

It’s well known that there is a tradeoff between data consistency and high availability. But at the same time, there are lots of applications that still require very strong consistency guarantees, and making such applications highly available can be quite a challenge.

It’s well known that there is a tradeoff between data consistency and high availability. But at the same time, there are lots of applications that still require very strong consistency guarantees, and making such applications highly available can be quite a challenge.

It’s well known that there is a tradeoff between data consistency and high availability. But at the same time, there are lots of applications that still require very strong consistency guarantees, and making such applications highly available can be quite a challenge.

Please join Denis Magda, GridGain Systems product manager and Apache® Ignite™ PMC Chair, for his talk about the internals of Apache Ignite’s memory architecture. His talk is titled: "Apache Ignite Memory Architecture - A Memory-Centric Approach to Durable Distributed Systems." 

Join GridGain Technology Evangelist Akmal Chaudhri as he introduces the many components of the open-source Apache® Ignite™. You, as a Java professional, will learn how to solve some of the most demanding scalability and performance challenges. We will also cover a few typical use cases and work through some code examples.

Telecommunications is no longer as simple as connecting a bunch of wires and physically maintaining them in order to deliver a dial tone. Today’s telecommunications providers face myriad challenges around big data and analytics. Data, and unlimited data plans, is stretched telco networks to provide capacity and services that no one had dreamed of even 15 years ago.

Telecommunications is no longer as simple as connecting a bunch of wires and physically maintaining them in order to deliver a dial tone. Today’s telecommunications providers face myriad challenges around big data and analytics. Data, and unlimited data plans, is stretched telco networks to provide capacity and services that no one had dreamed of even 15 years ago.

There is a myth that online financial operations need to be delegated to relational databases due to their ACID transaction support. But today, most of these disk-based relational databases cannot keep pace with the rapidly growing volumes of data that are becoming a bottleneck in the overall transactional system.

Ever-changing financial regulatory compliance policy is causing unprecedented and growing technical challenges. Banks and other financial institutions must continuously monitor, collect, and analyze vast amounts of data from multiple, disparate sources in real-time.

GridGain 8.1 is a turnkey release which makes GridGain and Apache® Ignite™ the only platforms on the market that combine a distributed SQL database with an in-memory key-value data grid.

GridGain 8.1 is a turnkey release which makes GridGain and Apache® Ignite™ the only platforms on the market that combine a distributed SQL database with an in-memory key-value data grid.

Harnessing the 21st century with a Distributed Memory-Optimized SQL Database