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In-memory computing and the 5G Ecosystem
We’ve seen the marketing for the new fifth-generation mobile networks. The benefits for end-users are easy to understand. Speeds faster than your home broadband and latencies only a little slower promise to be game-changers for consumers, enhancing existing applications and opening open entirely new categories that we can’t currently imagine.
This shift in technology also represents an opportunity for network owners and their suppliers. As with any technology leap, there are also challenges. The dramatic increase in speed is matched only by the scale. Studies show that there are over 3.5 billion smartphones in use around the world — and that number is rising — meaning that even a relatively modest carrier can have millions of customers. Meeting these demanding latency requirements with millions of simultaneous users isn’t easy.
Previous Entries
Recently a new version of Apache® Ignite™ was released. Let’s examine some of the new features from the .NET perspective.
Thin .NET Client
Before Apache Ignite version 2.4 (in both Java and .NET), there were two cluster connection modes: Server and Client. Basically, the difference between the client mode and server mode boils down to the following: the client nodes don’t store data and…
In summing up the business side of GridGain for last year (compared with the community side that I usually blog about), the company continued strong momentum throughout 2018. Let's take a closer look.
Key achievements during the year included 200 percent year-over-year growth in new customers, numerous industry honors, key product and service innovations and increasing popularity of the In-…
Introduction
In the previous article, we discussed the steps required to sign-up for a GridGain® Cloud account, created our first cluster, described the two built-in SQL demos and briefly reviewed the monitoring capabilities. In this article, let's look at examples of how to connect to a GridGain Cloud Cluster using two different programming languages.
Recall that in the previous article, we…
In a previous post, we shared an Apache® Ignite™ primer for people new to this exciting this open source project. In it, we touched upon Ignite's key features. Today I'll focus on the commonly asked question: Does Ignite have persistent storage or memory-only storage?
The answer? Both. Native persistence in Ignite can be turned on and off. This allows Ignite to store data sets bigger than can…
Introduction
In 2018, GridGain® previewed GridGain Cloud. GridGain Cloud enables a GridGain cluster to be run as a service. It supports both distributed in-memory computing and persistence. A number of APIs are supported:
JDBC
ODBC
Binary Protocol and Thin Clients
REST
We will look at examples of some of these APIs in this article series.
GridGain Cloud provides compatibility with GridGain…
GridGain's Rob Meyer continues his series on in-memory computing best practices this Thursday when he'll be talking about digital transformation and why delivering a responsive digital business is not possible at scale without in-memory computing.
The webinar is titled, "In-Memory Computing Best Practices: Developing New Apps, Channels and APIs" and I suggest registering now to reserve your spot…
We’ve got a busy week ahead for in-memory computing enthusiasts. A meetup tonight in New York City and two in-memory workshops tomorrow evening in Boston and Silicon Valley.
GridGain and Apache® Ignite™ evangelist Akmal Chaudhri is in New York City for tonight’s NYC In-Memory Computing Meetup. His talk is titled, "Relational DBMSs: Faster Transactions and Analytics with In-Memory Computing…
Introduction
Apache® Ignite™ has supported Machine Learning capabilities for a while now. With the release of Ignite v2.7, additional Machine Learning and Deep Learning capabilities have been added, including the much-anticipated support for TensorFlow™.
TensorFlow is an open-source library that can be used for numerical computations and for performing Machine Learning at scale. It is also very…
GridGain Cloud, an In-Memory-Computing-Platform-as-a-Service (imcPaaS) solution, based on Apache® Ignite™, now includes automatic disk-based persistence of the in-memory operational dataset which ensures immediate data access if a cluster restart is ever required.
Anyone interested in testing Apache Ignite as an in-memory database (IMDB) can now launch a free 4-node trial environment with just a…
GridGain is kicking off the New Year with our experts set to speak at several meetups around the world along with the delivery of multiple webinars in January and February.
They'll be sharing the latest information and developments related to in-memory computing technology and business trends.
Terry Erisman, vice president of marketing at GridGain Systems, said in-memory computing is now a…