Someone one told me that good things come in 3s and, fortunately, that is all it takes to make an intelligent, well-informed decision in real time as well. The three things we need are:Access to all of the relevant data;Execution of an intelligent model on that relevant data; and finallyDoing all of it in real time.And while it is just these three things and may look to be obvious, as the…
The GridGain Systems In-Memory Computing Blog
In a previous article, I discussed redefining the challenge facing companies that want to become data-driven. The way most people think about this problem – and the most commonly proposed solution – is putting all data into a single place, such as a data lake.This strategy has challenges, the biggest of which is that while data lakes make it economical to store data, retrieval, and analysis…
I’ve created a checklist for new users of Apache® Ignite™ to help overcome common challenges I’ve seen people encounter when developing and configuring their first applications with an Ignite cluster. This checklist was put together from questions new users routinely ask the Apache Ignite community on the user and dev lists. If you are new to Apache Ignite, click here for a quick…
In this two-part series, we will look at how Apache® Ignite™ and Apache® Spark™ can be used together.Let's briefly recap what we covered in the first article.Ignite is a memory-centric distributed database, caching, and processing platform. It is designed for transactional, analytical, and streaming workloads, delivering in-memory performance at scale.Spark is a streaming and compute engine that…
In this series of Apache Ignite Tutorial articles, I will describe what Apache Ignite is and how to deploy it at a beginner's level. In this first blog post, I will cover clustering and deployment.What is Apache Ignite?Apache Ignite is an in-memory data fabric. Its main goals are to provide performance and scalability. It partitions and distributes data within a cluster. The cluster provides very…
On November 17th, one of our European GridGain Systems' consultants visited Madrid to present a paper at Big Data Spain entitled “Better Together: Fast Data with Apache Ignite & Apache Spark”. The Big Data space has been growing rapidly over the past few years, with disk-based Hadoop systems and then hybrid disk and memory systems such as Apache Spark gaining significant mindshare.…
When it comes to observing the technology industry, nothing is more exciting and satisfying than seeing an idea become a world-changing reality. It starts with a fledgling solution, then an interesting alternative worth experimenting with, then a successful and award-winning product, and finally the driver of a major shift in how things get done. That is what we are seeing with the GridGain and…
In my previous blog posts—Ignite 3 Alpha: A Sneak Peek into the Future of Apache Ignite and Just Released: Apache Ignite 3, Alpha 2—I talked about the Apache Ignite community's journey toward Ignite 3, the next generation of the Apache Ignite database.It's a tradition within the Ignite community to provide an Ignite 3 alpha release every few months. This tradition enables everyone interested in…
Great news: The Apache Ignite Community has released the fourth alpha build of Ignite 3!Ignite 3 is a project that aims to create the next generation of the Apache Ignite platform, modernize and improve the usability of the product while keeping its power and flexibility. It’s been quite a journey since the project started in late 2020 – I’ve been sharing the updates along the way in a series of…
(Be sure to sign up for the upcoming virtual Ignite Community event on July 20, 2021, at 9:00 a.m. PST. Val will share a summary of changes planned in Apache Ignite 3 at this event. Community members will have an opportunity to share their feedback and discuss the proposed changes.)Apache Ignite 3 is an ongoing, active project that focuses on creating the next generation of the Apache Ignite…