Eclipse Data Grid: Getting Started

Next Generation Caching & In-Memory Searching.

Eclipse Data Grid is an in-memory data processing layer to boost any sluggish database applications and relieve the database. Eclipse Data Grid is way more than a common cache. It enables ultra-fast in-memory data processing: caching, indexing, searching, and any complex data operations – up to 1000x faster than databases. Unlike traditional caching solutions, Eclipse Data Grid is a native Java layer using the native Java object model. This allows you to work with native Java objects, complex Java object graphs, and any Java types, including any Java libraries, and implement any complex logic in your in-memory data layer with Java. Eclipse Data Grid is distributed, highly horizontally scalable, and completely Open-Source. It‘s built for everyone who needs more than just a cache. Move your complex and performance-critical data and data operations to Eclipse Data Grid to dramatically reduce database workloads and save costs, boost your application, and your business.

3 Projects in 1

Eclipse Data Grid essentially consists of 3 Eclipse projects:

• Eclipse Serializer: High-Secure Java Serialization that is internally used to create a binary representation of any Java object or any complex Java object graph you want to persist and distribute through an Eclipse Data Grid cluster.
• EclipseStore: Java-native object-graph persistence engine to store any Java object or complex Java object graph in any binary data storage, such as plain files or cloud object storage like AWS S3. EclipseStore uses EclipseSerializer as a dependency.
• Eclipse Data Grid: All cluster infrastructure information you need to create and run an Eclipse Data Grid cluster on Kubernetes in the cloud and On-Prem. Eclipse Data Grid uses EclipseStore as its ACID-compliant persistence.

How to Learn Eclipse Data Grid

1. Object Model Design: Design your individual Java object model that is suited to your individual in-memory data processing use case. Eclipse Data Grid has no specific requirements for your Java classes; just use POJOs. All you need is Core Java and OOP knowledge.
2. Queries: With Eclipse Data Grid, you can process data in-memory with Java. You can create individual searching and filtering logic with the Java Streams API. For full-text search, you can use Lucene. You can also implement arbitrarily complex data manipulation in Java using any Java library. All you need is Core Java knowledge or knowledge about the libraries you are using.
3. CRUD Operations: CRUD operations (Create, Read, Update, and Delete) are executed on your object graph in memory and implemented in Java. All you need is Core Java knowledge or knowledge about the libraries you are using.
4. Persistence: EclipseStore is a Java-native object graph persistence engine for storing any Java objects or complex object graphs persistently on disk. EclipseStore is an integral part of Eclipse Data Grid. It is also required for distributing your object graph through multiple nodes in an Eclipse Data Grid cluster.
   
   Get Started with EclipseStore:
   https://docs.eclipsestore.io/manual/storage/getting-started.html
5. Distributed Applications with Eclipse Data Grid as a Service in the Cloud: Eclipse Data Grid as a Service enables you to set up and run an Eclipse Data Grid cluster in minutes through our convenient cluster management UI, without the need for Kubernetes and DevOps knowledge.
   
   Create a SaaS account:
   https://cloud.microstream.one
   
   Eclipse Data Grid SaaS Doc:
   https://docs.microstream.one/enterprise/manual/1/cloud/index.html
6. Distributed Applications with Eclipse Data Grid On-Premise: The Eclipse Data Grid project provides you with a standard configuration you need to create an Eclipse Data Grid cluster infrastructure based on Kubernetes to run Eclipse Data Grid everywhere: in your cloud environment or your data center. To set up Eclipse Data Grid On-Prem, you need knowledge about Kubernetes, Kafka, and DevOps.
   
   Eclipse Data Grid On-Prem Doc:
   https://docs.microstream.one/enterprise/manual/1/on-premises/on-prem-cluster.html

Upcoming Webcasts:

Tue, Jul 22, 2025 at 3:00 – 5:00 PM GMT+2 (Berlin, Stockholm, Paris, Rom, Athens, Cairo…)
Eclipse Data Grid Introduction: In-Memory Data Processing
Virtual Event

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