The GridGain Systems In-Memory Computing Blog
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.
Nomenclature of In-Memory Database vs In-Memory Data Grid
Let's start by clarifying the terminology and buzzwords. The term "In-…
In this post, we will be discussing the GridGain Nebula managed service offering for Apache Ignite, available on the GridGain portal. The main benefits of GridGain Nebula are that it simplifies cloud provisioning and provides managed service support.What is Apache Ignite?
Before we begin, let’s take a look at Apache Ignite. At a very high level, Apache Ignite and GridGain are both in-memory…
Businesses today are increasingly complex leading to slow performance which negatively impacts customer experiences, productivity, and ultimately revenue. An in-memory data fabric addresses data complexity head-on.Companies today are facing a significant problem – their reliance on disk-based data stores are slowing down performance and costing them valuable time and money. Enter GridGain’s in-…
The Apache Ignite native persistence storage engine follows a classic database approach based on the ARIES architecture. However, the Ignite developers needed to make some adjustments to the architecture in order to improve development speed and support memory-only storage.
In this blog, I will provide an overview of the Ignite native persistence storage engine and discuss the tradeoffs that…
The Apache Ignite community is maintained by dedicated volunteers who manage a highly informative and well-designed website. This website is regularly updated with the latest news and information about the open-source project. A section of this content, found on the GridGain blog, provides an overview of Apache Ignite's basic concepts, facts, tips, and tricks. The goal of this blog post is to…
After five days (and eleven meetings) with new customers in Europe and the Middle East, I think the time is right for another refinement of in-memory computing’s definition. To me, it is clear that our industry is lagging when it comes to explaining in-memory computing to potential customers and defining what in-memory computing is really about. We struggle to come up with a simple,…
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…
One of the most heavily used features in GridGain Nebula is the flexible dashboarding capabilities for monitoring cluster and node status. The drag-and-drop interface enables access to more than 200 metrics that are available in Apache Ignite or on the GridGain In-memory Computing Platform software running in data centers, private clouds, or the Nebula cloud.
Until now, there was no guidebook…
The Apache Ignite 3.0 Alpha 5 build recently became available. Here is an overview of the new features the community included in this release. Based on industry and use case, they may be of major interest to some developers while less relevant to others.
Pluggable Storage
Different use cases require different storage engines. Some storage engines are good for read-heavy operations, others are…
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…