GridGain Blog
[This blog post was originally published on Perficient’s website and is reprinted with permission.] Are you looking for a way to accelerate and scale your event-driven architecture in the cloud? GridGain is here to help. GridGain, built on top of Apache Ignite, is a comprehensive in-memory computing platform that provides distributed caching, messaging, and compute capabilities, with…
Read Consistency - Strong Consistency vs Eventual Consistency and How to Configure Them in GridGain and Apache IgniteIn single-host data storage and processing software, data that is successfully written to data storage can be immediately read by clients. If two readers query at the same time, they’ll get the same values. This is referred to as strong consistency. Many high-scale distributed…
Apache Ignite 3.0 is the latest milestone in Apache Ignite evolution that enhances developer experience, platform resilience, and efficiency. In this article, we’ll explore the key new features and improvements in Apache Ignite 3.0.Installation and Management of Ignite 3Apache Ignite 3.0 simplifies the installation and management process, making it more accessible for developers and…
IntroductionAI adoption demands a scalable, high-performance data infrastructure that is able to tap into all relevant data at ultra-low latencies. While offline models use batch data lakes, online AI systems require real-time data access for tasks like feature serving, predictions, and retrieval-augmented generation (RAG). This often leads to complex architectures with multiple data stores.…
Enterprises are under tremendous pressure to get the high return-on-investment often seen from fast, smart analytics. But these powerful modern analytical projects require access to all data across the enterprise, and even from partners, third parties, and clouds or cloud-analytic applications. While robust and reliable, legacy mainframe systems run up against limitations around data access and…
Key Takeaways from Our Webinar with DataversityEvery January, a lot of folks in this industry do their best to guess which way the data management wind will blow this year. Donna Burbank, data architect and Managing Director at Global Data Strategy, and Lalit Ahuja, CTO of GridGain discussed this on a recent webinar. Donna also presented some of the findings from a recent Dataversity survey on…
GenAI exploded onto the enterprise scene in 2024, forcing business leaders to reevaluate every aspect of their operations, products, and services. Since then, they’ve been making grand plans, diving into pilot programs, and even putting some applications into production.In 2025, however, reality will set in as businesses work to ensure GenAI success for the long term. In this VMBlog article,…
As Head of HR for GridGain, I couldn’t be more thrilled that GridGain has been Certified™ as a Great Place To Work® in the United States. This is a really impressive award because it’s based entirely on what our employees in the U.S. say about working here – with 84% saying GridGain is a great place to work. That’s a huge 27 points higher than the average U.S. company!
Great Place To Work is a…
In a previous post, I described the importance of a financial trade order management system (OMS) and how to accelerate the data-intensive pre-trade validation process. In this post, I will show how GridGain provides similar benefits for the post-trade reconciliation process.What is Post-Trade ReconciliationPost-trade reconciliation occurs after trading hours, when financial institutions have…
Introduction Relational Database Management Systems (RDBMS) have dominated enterprise IT data infrastructure for decades, serving as the backbone for countless applications. Today, many applications still run on legacy RDBMS, which face significant challenges in meeting the demands of today's data-driven world. As enterprises increasingly require real-time analytics, artificial intelligence…