The GridGain Systems In-Memory Computing Blog
This blog post is the second one in the series of articles that provides a step-by-step guide on how to build a fault-tolerant and scalable microservices-based solution with Apache Ignite Service APIs.
In the first post one of the possible architectures was presented and explained as a system consisted of the following layers:
Apache Ignite Cluster Layer
Persistent Storage Layer
Layer…
Misys, a Leading FinTech Firm, Uses the GridGain In-Memory Computing Platform
Misys, a London-based financial services software (fintech) company, is relying on the GridGain Enterprise Edition to enable high performance, real-time data processing of massive amounts of trade and transaction date. Misys solutions are used by 48 of the world's largest 50 banks.
The Misys financial technology (…
Bitcoin and Blockchain technology has driven a lot of discussions around its possible use within the banking and financial services industries. According to analysts, 80% of top banks have launched experimental Blockchain projects. While an estimated 15% of these banks will likely launch new Blockchain-based services into the mass market in the next 12-24 months, an enormous investment in new…
The number of smart devices making up the Internet of Things (IoT) has soared. From traditional printers and scanners to refrigerators, from smart watches and clothing to self-driving cars and drones, Gartner expects the IoT to include over 20 billion connected things by 2020. With all these connected devices transmitting information that needs to be analyzed, companies will need to deploy data…
On Wednesday December 7, 2016, I hosted a webinar with Peter Zaitsev, CEO and cofounder of Percona, in which we discussed how you can supplement MySQL with Apache® Ignite™.
MySQL® is an extremely popular and widely used RDBMS. Apache Ignite is the leading open source in-memory computing platform which can provide speed and scale to RDBMS-based applications. Apache Ignite is inserted…
This informative webinar provided an overview of different potential performance problems and bottlenecks that could occur when using Apache® Ignite™ and techniques for tuning Apache® Ignite™. This included tips on basic cache operations, data loading, affinity collocation, SQL query tuning and JVM tuning. For additional information, including code examples, please see the complete recording of…
Those who're keeping an eye on the realm of distributed systems should have mentioned that Apache Ignite community announced an absolutely new grid component as a part of the latest 1.8.0 release - In-Memory SQL Grid. The ability to query data with ANSI-99 SQL queries existed a long time ago in Apache Ignite. But that wasn't a finish line and now Apache Ignite users can both query and modify…
Nowadays, there are tons of applications, services and use cases when it's needed to gather, store and process spatial data constantly. Generally speaking, when we talk about geospatial data, we imply location or dimension of an object like a building, mountain, car or group of people. Applications and services like Foursquare and Google Maps or solutions built for logistics and…
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…
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.…