Apache Ignite vs Ehcache

Overview

Ehcache

Stacks616

Followers160

Votes4

GitHub Stars2.1K

Forks585

Apache Ignite

Stacks110

Followers168

Votes41

GitHub Stars5.0K

Forks1.9K

Apache Ignite vs Ehcache: What are the differences?

Introduction

Apache Ignite and Ehcache are both popular options for in-memory caching in the Java ecosystem. While they serve the same purpose of improving application performance by storing data in memory, there are some key differences between the two. In this article, we will explore the main distinctions between Apache Ignite and Ehcache.

Scalability and Distributed Computing: One of the primary differences between Apache Ignite and Ehcache is their approach to scalability and distributed computing. Apache Ignite is designed for distributed architectures and can be easily scaled across multiple nodes in a cluster. It allows for data and computation to be distributed across the nodes, providing high availability and fault tolerance. On the other hand, Ehcache is more focused on local caching and does not provide built-in support for distributed caching or computing. It is primarily intended for single-node caching scenarios.
Data Partitioning and Replication: Apache Ignite offers advanced data partitioning and replication capabilities. It automatically partitions the data across multiple nodes in a cluster, ensuring that each node only holds a portion of the overall data set. This enables parallel processing and efficient data retrieval. In addition, Ignite allows for configurable data replication, ensuring data redundancy and fault tolerance. Ehcache, on the other hand, does not provide built-in support for data partitioning and replication. It relies on a single-node caching model and does not offer automatic data distribution or replication.
Computational Capabilities: While both Apache Ignite and Ehcache provide caching functionality, Apache Ignite goes beyond caching and offers a wide range of computational capabilities. Ignite supports running distributed computations across the cluster, allowing for parallel processing and improved performance. It provides APIs for distributed SQL queries, machine learning, and real-time streaming analytics. Ehcache, on the other hand, is primarily focused on caching and does not offer extensive computational features.
Integration with Other Technologies: Apache Ignite is designed to integrate seamlessly with various other technologies and frameworks. It provides connectors and integrations for popular data processing frameworks like Apache Spark, Apache Hadoop, and Apache Cassandra. It also offers support for various persistence stores, such as JDBC, NoSQL databases, and Hadoop Distributed File System (HDFS). Ehcache, on the other hand, is more standalone and does not offer as many integrations or connectors out of the box. It is typically used as a standalone caching solution without extensive integration with other technologies.
Transaction Support: Another major difference between Apache Ignite and Ehcache is their support for transactions. Apache Ignite provides full support for distributed transactions, allowing multiple nodes in a cluster to participate in a single transaction. It ensures consistency and isolation across the distributed cache. Ehcache, on the other hand, does not offer built-in support for distributed transactions. It relies on the underlying storage system for transaction support, which may not be suitable for all use cases.
Management and Monitoring Capabilities: Apache Ignite provides comprehensive management and monitoring capabilities out of the box. It offers a web-based management console for monitoring the cluster status, metrics, and performance. It also provides a REST API for programmatic monitoring and management. Ehcache, on the other hand, does not offer as many management and monitoring features. It does provide basic statistics and monitoring information but lacks a dedicated management console or extensive programmatic APIs.

In summary, Apache Ignite and Ehcache differ in scalability and distributed computing capabilities, data partitioning and replication support, computational capabilities, integration with other technologies, transaction support, and management and monitoring capabilities.

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs

CLI (Node.js)

Manual

Detailed Comparison

Ehcache	Apache Ignite
Ehcache is an open source, standards-based cache for boosting performance, offloading your database, and simplifying scalability. It's the most widely-used Java-based cache because it's robust, proven, and full-featured. Ehcache scales from in-process, with one or more nodes, all the way to mixed in-process/out-of-process configurations with terabyte-sized caches.	It is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads delivering in-memory speeds at petabyte scale
-	Memory-Centric Storage; Distributed SQL; Distributed Key-Value
Statistics
GitHub Stars 2.1K	GitHub Stars 5.0K
GitHub Forks 585	GitHub Forks 1.9K
Stacks 616	Stacks 110
Followers 160	Followers 168
Votes 4	Votes 41
Pros & Cons
Pros 1 Way Faster than Redis and Elasticache Redis 1 Easy setup 1 Simpler to run in testing environment 1 Container doesn't have to be running for local tests	Pros 5 Multiple client language support 5 Written in java. runs on jvm 5 Free 5 High Avaliability 4 Load balancing
Integrations
No integrations available	MongoDB MySQL Apache Spark

What are some alternatives to Ehcache, Apache Ignite?

Redis

Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams.

Hazelcast

With its various distributed data structures, distributed caching capabilities, elastic nature, memcache support, integration with Spring and Hibernate and more importantly with so many happy users, Hazelcast is feature-rich, enterprise-ready and developer-friendly in-memory data grid solution.

Aerospike

Aerospike is an open-source, modern database built from the ground up to push the limits of flash storage, processors and networks. It was designed to operate with predictable low latency at high throughput with uncompromising reliability – both high availability and ACID guarantees.

MemSQL

MemSQL converges transactions and analytics for sub-second data processing and reporting. Real-time businesses can build robust applications on a simple and scalable infrastructure that complements and extends existing data pipelines.

SAP HANA

It is an application that uses in-memory database technology that allows the processing of massive amounts of real-time data in a short time. The in-memory computing engine allows it to process data stored in RAM as opposed to reading it from a disk.

VoltDB

VoltDB is a fundamental redesign of the RDBMS that provides unparalleled performance and scalability on bare-metal, virtualized and cloud infrastructures. VoltDB is a modern in-memory architecture that supports both SQL + Java with data durability and fault tolerance.

Tarantool

It is designed to give you the flexibility, scalability, and performance that you want, as well as the reliability and manageability that you need in mission-critical applications

Azure Redis Cache

It perfectly complements Azure database services such as Cosmos DB. It provides a cost-effective solution to scale read and write throughput of your data tier. Store and share database query results, session states, static contents, and more using a common cache-aside pattern.

KeyDB

KeyDB is a fully open source database that aims to make use of all hardware resources. KeyDB makes it possible to breach boundaries often dictated by price and complexity.

LokiJS

LokiJS is a document oriented database written in javascript, published under MIT License. Its purpose is to store javascript objects as documents in a nosql fashion and retrieve them with a similar mechanism. Runs in node (including cordova/phonegap and node-webkit), nativescript and the browser.

Related Comparisons

Apache Ignite vs Ehcache: What are the differences?

Introduction

Scalability and Distributed Computing: One of the primary differences between Apache Ignite and Ehcache is their approach to scalability and distributed computing. Apache Ignite is designed for distributed architectures and can be easily scaled across multiple nodes in a cluster. It allows for data and computation to be distributed across the nodes, providing high availability and fault tolerance. On the other hand, Ehcache is more focused on local caching and does not provide built-in support for distributed caching or computing. It is primarily intended for single-node caching scenarios.
Data Partitioning and Replication: Apache Ignite offers advanced data partitioning and replication capabilities. It automatically partitions the data across multiple nodes in a cluster, ensuring that each node only holds a portion of the overall data set. This enables parallel processing and efficient data retrieval. In addition, Ignite allows for configurable data replication, ensuring data redundancy and fault tolerance. Ehcache, on the other hand, does not provide built-in support for data partitioning and replication. It relies on a single-node caching model and does not offer automatic data distribution or replication.
Computational Capabilities: While both Apache Ignite and Ehcache provide caching functionality, Apache Ignite goes beyond caching and offers a wide range of computational capabilities. Ignite supports running distributed computations across the cluster, allowing for parallel processing and improved performance. It provides APIs for distributed SQL queries, machine learning, and real-time streaming analytics. Ehcache, on the other hand, is primarily focused on caching and does not offer extensive computational features.
Integration with Other Technologies: Apache Ignite is designed to integrate seamlessly with various other technologies and frameworks. It provides connectors and integrations for popular data processing frameworks like Apache Spark, Apache Hadoop, and Apache Cassandra. It also offers support for various persistence stores, such as JDBC, NoSQL databases, and Hadoop Distributed File System (HDFS). Ehcache, on the other hand, is more standalone and does not offer as many integrations or connectors out of the box. It is typically used as a standalone caching solution without extensive integration with other technologies.
Transaction Support: Another major difference between Apache Ignite and Ehcache is their support for transactions. Apache Ignite provides full support for distributed transactions, allowing multiple nodes in a cluster to participate in a single transaction. It ensures consistency and isolation across the distributed cache. Ehcache, on the other hand, does not offer built-in support for distributed transactions. It relies on the underlying storage system for transaction support, which may not be suitable for all use cases.
Management and Monitoring Capabilities: Apache Ignite provides comprehensive management and monitoring capabilities out of the box. It offers a web-based management console for monitoring the cluster status, metrics, and performance. It also provides a REST API for programmatic monitoring and management. Ehcache, on the other hand, does not offer as many management and monitoring features. It does provide basic statistics and monitoring information but lacks a dedicated management console or extensive programmatic APIs.

Apache Ignite vs Ehcache

Overview