Top 15 In Memory Data Grid Platform
One of the hot topics of discussion lately has been in-memory processing. Majority of the companies that in the past would not have even thought of utilizing in-memory technology, mainly because of its relatively high cost, are now altering the architectures of their core systems to make the most of the low-latency transaction processing offered by in-memory technology. This is an outcome of the significantly reduced and still reducing costs of RAM. And because of these reduced costs, loading the whole operational dataset into memory that has performance enhancements and is a hundred times faster is now economical. The main objective of in-memory data grid is offer high data availability by storing it in memory and in a highly distributed manner. Through loading data Terabytes of data into the memory, in-memory data grids are capable of working with majority of today’s big data processing needs.
Top In Memory Data Grid Platform : Hazelcast IMDG, Pivotal GemFire XD, Infinispan, Ehcache, ScaleOut StateServer, Red Hat JBoss Data Grid, Ncache, GridGain Enterprise Edition, WebSphere eXtreme Scale, Oracle Coherence, XAP, Galaxy, IBM WebSphere Application Server, Terracotta Enterprise Suite are some of Top In Memory Data Grid Platforms.
What are In Memory Data Grid Platform?
Data grid is an architecture or set of services that gives individuals or groups of users the ability to access, modify and transfer extremely large amounts of geographically distributed data for research purposes. Data grids make this possible through a host of middleware applications and services that pull together data and resources from multiple administrative domains and then present it to users upon request. The data in a data grid can be located at a single site or multiple sites where each site can be its own administrative domain governed by a set of security restrictions as to who may access the data.
An in-memory data grid is basically a structure that exists in the random access memory (RAM) and is distributed amidst several servers. The latest advancements in multi-core and 64-bit systems have made storing Terabytes of data entirely in RAM reasonable, eliminating the need of electromechanical mass storage media like hard disks. In-memory data grids are capable of supporting large amounts of data updates and they could be scaled and clustered in ways which support hundreds of thousands of data. One of their main advantage is that they are easily scaled and implementation of upgrades is simple as well. In addition, the technological benefits of in-memory data grid offers great business benefits such as quicker decision making, enhanced customer service, and increased productivity. Some of the applications that could benefit from in-memory data grid (IMDG) include e-commerce shopping carts, economic-instrument pricing in banks, reservation systems of the travel sector, cloud applications, and user-preference apps of web applications.
- Management center: This particular feature allows control and viewing of the entire in-memory data grid from the administrator’s console. It enables management, supervision as well as control of every IMDG instance on the network.
- Extended and standard query: This feature makes the in-memory data grid accessible to the standard reporting tools. It also makes accessing the IMDG similar to accessing a database that is JDBC compatible, decreasing the learning curve. It is basically founded on SQL, together with the capability of connecting IMDG utilizing standard JDBC connector.
- Mirror service: The feature allows for smooth integration with the existent back-office and reporting systems. It enables transparent data persistence from the entire in-memory data grid to legacy database or any other source of data.
- SQL-based continuous query support: It brings appropriate data near the local memory of the appropriate app at that instance.
- Real-time event notification: This feature offers capabilities that are normally provided by messaging systems such as FIFO, slow-client support, content-based routing, pub/sub, and batching. Application instances could particularly subscribe to certain events.
Top In Memory Data Grid Platform
The Hazelcast IMDG operational in-memory computing platform helps leading companies worldwide manage their data and distribute processing using in-memory storage and parallel execution for breakthrough application speed and scale. Hazelcast IMDG is easy to work with and brings a highly resilient and elastic memory resource to all of user applications. At its core, Hazelcast is one of the most widely adopted open source solutions with tens of thousands of installed clusters and over 23 million server starts per month. On top of this popular open source platform, Hazelcast IMDG Enterprise HD, Hazelcast IMDG Enterprise, and Hazelcast IMDG Professional Support offer…
Pivotal GemFire XD
GemFire XD is an in-Memory data grid powered by Apache Geode that scales on-demand data services to support real-time, high performance apps. Even though it provides much the same features for data management as most other good data grids do, it’s added features enhance the way so as to the way data is configured and conveyed. Its features include a predictable low latency: even during huge peaks in synchronized access, users can count on predictable low latency because of the in-memory, horizontally scalable architecture which is built in to GemFire. The elastic scale-out feature easily scales out horizontally to meetpeaks…
Infinispan is an extremely scalable, highly available key/value data store and data grid platform. It is 100% open source, and written in Java. The purpose of Infinispan is to expose a data structure that is distributed, highly concurrent and designed ground-up to make the most of modern multi-processor and multi-core architectures. It is often used as a distributed cache, but also as a NoSQL key/value store or object database. Infinispan can be used as a high-performance NoSQL data store. In addition to being in memory, Infinispan can also persist data to a more permanent store. Cache stores are pluggable, users…
Ehcache is an open source, standards-based cache that boosts performance, offloads user database, and simplifies scalability. It's the most widely-used Java-based cache because it's robust, proven, full-featured, and integrates with other popular libraries and frameworks. Ehcache scales from in-process caching, all the way to mixed in-process/out-of-process deployments with terabyte-sized caches. Ehcache 3.3 strengthens the distributed caching capabilities via a new generation of Terracotta server with support for high-availability and improved performance. Ehcache is Open Source and freely available under the Apache 2 License.Users can introduce caching to Java applications quite easily with Ehcache, either using its new, powerful API or…
ScaleOut StateServer’s in-memory data grid meets this need by keeping data in memory for fast access and using all servers to handle access requests in parallel. With its blazing performance, comprehensive APIs, patented high availability, and self-managing features, ScaleOut StateServer provides the leading in-memory distributed caching solution available today. ScaleOut StateServer has been deployed on thousands of servers across hundreds of production systems. Its patented technology delivers industry-leading performance and stability. With APIs for Java, .NET, & C/C++ and REST, ScaleOut StateServer offers a full range of powerful yet easy to use features for storing and managing memory-based data. ScaleOut…
Red Hat JBoss Data Grid
With Red Hat JBoss Data Grid—an in-memory, distributed, NoSQL datastore solution- user applications can access, process, and analyze data at in-memory speed to deliver a superior user experience. The technical advantages of in-memory data grid (IMDGs) provide business benefits in the form of faster decision-making, greater productivity, and improved customer engagement and experience. JBoss Data Grid gives users faster data storage and retrieval to implement enterprise integration patterns, service result-set caching, and offload costly back-end data systems. JBoss Data Grid stores and caches facts data and passes these to JBoss BRMS for rules execution. Applications achieve near real-time response due…
NCache is a 100% Native .NET Open Source distributed cache (released under Apache License, Version 2.0). NCache provides an extremely fast and linearly scalable distributed cache that caches application data and reduces expensive database trips. Use NCache to remove performance bottlenecks related to user data storage and databases and scale user .NET and Java applications to extreme transaction processing (XTP). NCache has been the market leader in .NET Distributed Caching for the last 10 years. It is a very popular and mature product with hundreds of high end customers all over the world relying on it for their application scalability…
GridGain Enterprise Edition
The GridGain in-memory computing platform, built on Apache Ignite, offers in-memory computing solutions that allow new or existing disk-based applications to run queries 1,000x or more faster and scale out to petabytes of in-memory data. The GridGain Enterprise Edition builds on Apache Ignite by including additional features and undergoing additional QA testing which makes it easier to deploy, manage and secure in production environments. The GridGain Enterprise Edition is deployed as an in-memory computing layer between the application and data layers. GridGain includes powerful features for in-memory computing including an in-memory data grid, in-memory compute grid, in-memory SQL grid, in-memory…
WebSphere eXtreme Scale
The WebSphere eXtreme Scale licensed program is an elastic, scalable, in-memory data grid. The data grid dynamically caches, partitions, replicates, and manages application data and business logic across multiple servers. WebSphere eXtreme Scale performs massive volumes of transaction processing with high efficiency and linear scalability. With WebSphere eXtreme Scale, users can also get qualities of service such as transactional integrity, high availability, and predictable response times. WebSphere eXtreme Scale can be used in different ways. Users can use the product as a very powerful cache, as an in-memory database processing space to manage application state, or to build Extreme Transaction…
Oracle Coherence is the industry leading in-memory data grid solution that enables organizations to predictably scale mission-critical applications by providing fast access to frequently used data. As data volumes and customer expectations increase, driven by the “internet of things”, social, mobile, cloud and always-connected devices, so does the need to handle more data in real-time, offload over-burdened shared data services and provide availability guarantees. This release contains many new features that help reduce complexity, ease configuration, and accelerate time to market of scalable solutions. Just like the coherence persistence which is a set of tools and technologies that manage the…
XAP scales with users’ business needs, from simple data processing, to complex transactional workloads, all the way to leveraging hybrid storage and data center tiers. Users can use XAP Open Source to discover the potential of an In-Memory Data Grid with rich performance capabilities and extreme low latency. This edition is 100% open source. Users can also avail of the Premium edition to use a feature-rich management, monitoring and high availability capabilities as well as security and language interoperability. Users can also go beyond a single data center/storage in-memory data grid by leveraging multi-tier data storage functionality (MemoryXtend) and ensure…
Galaxy is a high-performance in-memory data-grid (IMDG) that can serve as a basis for building distributed applications that require fine-tuned control over data placement and/or custom distributed data-structures. What makes Galaxy different from other IMDGs is the way it assigns data items to cluster node. Instead of sharding the data on one of the keys using a consistent hashing scheme, Galaxy dynamically moves objects from one node to another as needed using a cache-coherence protocol similar to that found in CPUs. This makes Galaxy suitable for applications with predictable data access patterns, i.e. applications where the data items behave according…
IBM WebSphere Application Server
IBM WebSphere Application Server provides a range of flexible, secure, Java EE 7 runtime environments available on premises or across any public, private or hybrid cloud. Whether users are seeking to reduce costs, unlock new value from applications, investment or speed time to market, WebSphere has the right fit for every business need.With WebSphere, users can optimize the application infrastructure to reduce costs with hybrid capabilities that provide the flexibility to deploy and manage apps across any cloud and any container service. Users can also connect existing Java applications to the cloud and unlock new value with API lifecycle management…
Terracotta Enterprise Suite
Terracotta Enterprise Suite is designed for any business and industry with high data volume, and a need for distributed in-memory management for performance and availability at scale. The FX edition is designed for unlimited scale on-demand with more capacity and throughout for user enterprise application, requiring nothing more than a simple configuration change — no application changes required. Enterprise Suite combines the innovative tools for in-memory data management (BigMemory Max), enterprise-grade session management (Web Sessions), and job scheduling (Quartz Scheduler) — all in one easy-to-deploy package. Includes enterprise support, monitoring, management and visualization.Terracotta Enterprise Suite has a combination of innovative…
TayzGrid is an elastic In-Memory Data Grid with a peer to peer dynamic clustering architecture. TayzGrid is extremely fast and linearly scalable and provides intelligent replication for data reliability without compromising on scalability. Add servers to the In-Memory Data Grid cluster and grow transaction and storage capacity linearly.TayzGrid
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