The GridGain Systems In-Memory Computing Blog

The virtual Ignite Summit on June 14 attracted hundreds of Igniters from around the globe excited to learn and share their experiences. (Video of all sessions is available on-demand here.) The event, organized by GridGain and the Apache Ignite community, was preceded the day before by free technical training sessions on Apache Ignite essentials, compute grid, and Apache Ignite with Spring Boot and Spring Data...
To improve application and query performance, developers frequently use summary tables. The summary table pattern is where we feed data into an Apache Ignite or GridGain cluster into two tables: the original data; and a summary, or rollup, of that data. With GridGain’s SQL engine, it’s not always necessary to have a summary table! For many, perhaps most, use cases, the fact that the data...
GridGain is a USA-based company that has always prided itself on being a global corporation, with employees and customers around the world. A proponent of open-source software and the original authors of the highly popular Apache Ignite in-memory platform, our company has always embraced the diversity of thought and contribution that can only come from a worldwide community. The brutal war and hostilities in Ukraine,...
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...
Customer 360 View is a significant aspect of digital transformation, enabling organizations to gain insights into customer behavior. Armed with this understanding, companies can make data-driven decisions to serve their customers with personalized experiences and promote growth through targeted marketing. Yet, gaining this 360 view is data-intensive and requires quick access to up-to-date information. Digital enterprises turn to Apache Ignite and GridGain’s powerful in-memory computing...
Updated on January 7, 2021 with additional information on the evolving vulnerability. Protecting our customers, prospects and community members and their data from malicious activity is a top priority for GridGain. Here’s what we currently know about Apache Log4j Remote Code Execution Vulnerability CVE-2021-44228 commonly known as “Log4Shell” and the additional remote code execution vulnerabilities CVE-2021-45046 and CVE-2021-45105. GridGain's Consolidated Response Upon discovery of each...
TIBCO DataSynapse GridServer and Apache Ignite are both distributed computing solutions that provide high-performance capabilities. The TIBCO DataSynapse GridServer deployment consists of Managers and multiple Engine hosts to scale any application at any time. TIBCO designed this highly scalable software infrastructure for enterprise organizations. It enables users to submit multiple requests parallel to one another, virtually operate application services, and create multiple service instances that...
As technology rapidly progresses, we need increased computational speed and efficiency to drive digital transformation. Achieving this while working with big data requires a powerful and trustworthy solution. Apache Ignite is a popular distributed database that supports growing speed and scalability demands while maintaining the distributed architecture. It achieves fast processing speeds by leveraging in-memory computing — the quickest way to compute data, as there’s...
A year in the cloud For cloud enablement of GridGain and Apache Ignite tools and services, 2021 has been a busy year. Mid-year we launched a SaaS version of GridGain Control Center—for customers who need easy access to troubleshooting and monitoring tools for their Ignite and GridGain clusters. Building on our initial SaaS offering, we have now added a self-service version of GridGain Nebula. What...
Apache Ignite's default storage engine is sophisticated enough to enable us to use the database for various use cases, ranging from transactional workloads to real-time analytics. The multi-tiered storage architecture allows you to configure Ignite as a distributed, in-memory cache without persistence or to have Ignite function as a hybrid transactional/analytical database that scales beyond available memory capacity. Built-in support for essential APIs (SQL, key-value),...