MySQL is a popular open-source relational database management system (RDBMS) that has certain limitations when it comes to Big Data analytics. In this context, this post will delve into five key MySQL limitations that can be addressed by taking a modern approach to the data architecture.
GridGain Blog
Held on June 6, 2023, this year’s Ignite Summit showcased the breadth and flexibility that make Apache Ignite a foundational technology for many demanding data use cases. Presenters represented a wide range of organizations, from financial services and telecommunications to programming language development.
There are two significant categories in in-memory computing: In-Memory Database and In-Memory Data Grids. This post aims to present a concise version of thoughts on this topic, with insights gained from a recent analyst call aiding in organizing the information.
In this blog, I will provide an overview of the Ignite native persistence storage engine and discuss the tradeoffs that were made during its development. I will also delve into the reasons behind these decisions and share the challenges that were encountered during the implementation of the chosen approach in Java.
Apache Ignite is a powerful platform that combines the functionalities of a distributed database, caching system, and processing engine. It is specifically designed to handle transactional, analytical, and streaming workloads efficiently.
Learn what in-memory computing is, how it works, and why it enables real-time analytics and high-performance data processing at scale.
Held on November 9, Ignite Summit Europe 2022 provided a closeup look into how Apache Ignite is being adapted for use in a variety of dynamic, demanding business settings and use cases. (Video of all sessions is available on-demand here.) Presenters were from organizations as diverse as a financial software tools, the largest food delivery company in Latin America, and the largest particle…
The Apache Ignite 3.0 Alpha 5 build recently became available.