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Apache Ignite VS Ehcache

Compare Apache Ignite VS Ehcache and see what are their differences

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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Apache Ignite logo Apache Ignite

high-performance, integrated and distributed in-memory platform for computing and transacting on...

Ehcache logo Ehcache

Java's most widely used cache.
  • Apache Ignite Landing page
    Landing page //
    2023-07-08
  • Ehcache Landing page
    Landing page //
    2021-08-26

Apache Ignite features and specs

  • In-Memory Data Grid
    Apache Ignite provides a robust in-memory data grid that can drastically improve data access speeds by storing data in memory across distributed nodes.
  • Scalability
    The system is designed to scale horizontally, allowing users to add more nodes to handle increased loads, thereby ensuring high availability and performance.
  • Distributed Compute Capabilities
    Ignite supports parallel execution of tasks across cluster nodes, which is beneficial for complex computations and real-time processing.
  • Persistence
    Although primarily in-memory, Ignite offers a durable and transactional Persistence layer that ensures data can be persisted on disk, providing a hybrid in-memory and persistent storage solution.
  • SQL Queries
    Ignite offers support for ANSI-99 SQL, which allows users to execute complex SQL queries across distributed datasets easily.
  • Integration
    It integrates well with existing Hadoop and Spark setups, allowing users to enhance their existing data pipelines with Igniteโ€™s capabilities.
  • Fault Tolerance
    Apache Ignite includes built-in mechanisms for recovery and ensures that data copies are maintained across nodes for resilience against node failures.

Possible disadvantages of Apache Ignite

  • Complexity
    Apache Ignite can be complex to set up and manage, especially when configuring a large, distributed system with multiple nodes.
  • Resource Intensive
    Running an in-memory data grid like Ignite requires significant memory resources, which can increase operational costs.
  • Learning Curve
    Due to its comprehensive features and distributed nature, there is a steep learning curve associated with effectively utilizing Ignite.
  • Configuration Overhead
    There is substantial configuration overhead involved to optimize performance and ensure proper cluster management.
  • Community Support
    Although it has active development, the community support might not be as robust compared to other more mature solutions, possibly leading to challenges in finding solutions to niche issues.
  • YARN Dependence
    For those looking to integrate with Hadoop, Ignite's optimal performance is sometimes reliant on Hadoop YARN, which can introduce additional complexity.

Ehcache features and specs

No features have been listed yet.

Apache Ignite videos

+ Add

Best Practices for a Microservices Architecture on Apache Ignite

More videos:

  • Review - Apache Ignite + GridGain powering up banks and financial institutions with distributed systems

Ehcache videos

+ Add

Terracotta Ehcache: simpler, faster, distributed by Anthony Dahanne

More videos:

  • Tutorial - 18 - What is Eh Cache or Second Level Cache & How to use with Spring MVC? #ehcache #cache #SpringMVC

Category Popularity

0-100% (relative to Apache Ignite and Ehcache)

Apache Ignite

Ehcache

Databases
80 80%
Databases
20% 20
Development
100 100%
Development
0% 0
Graph Databases
0 0%
Graph Databases
100% 100
NoSQL Databases
69 69%
NoSQL Databases
31% 31

User comments

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Social recommendations and mentions

Based on our record, Apache Ignite seems to be more popular. It has been mentiond 4 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Apache Ignite mentions (4)

  • Rate Limiting in Spring Boot REST APIs: Bucket4j + Redis
    Yes, you can use rate limiting with other caching solutions, such as Apache Ignite. However, Redis is a popular choice for rate limiting due to its ease of use and flexibility. - Source: dev.to / about 2 months ago
  • API Caching: Techniques for Better Performance
    Apache Ignite โ€” Free and open-source, Apache Ignite is a horizontally scalable key-value cache store system with a robust multi-model database that powers APIs to compute distributed data. Ignite provides a security system that can authenticate users' credentials on the server. It can also be used for system workload acceleration, real-time data processing, analytics, and as a graph-centric programming model. - Source: dev.to / almost 2 years ago
  • Ask HN: P2P Databases?
    Ignite works as you describe: https://ignite.apache.org/ I wouldn't really recommend this approach, I would think more in terms of subscriptions and topics and less of a 'database'. - Source: Hacker News / over 4 years ago
  • .NET and Apache Ignite: Testing Cache and SQL API features โ€” Part I
    Last days, I started using Apache Ignite as a cache strategy for some applications. Apache Ignite is an open-source In-Memory Data Grid, distributed database, caching, and high-performance computing platform. Source: almost 5 years ago

Ehcache mentions (0)

We have not tracked any mentions of Ehcache yet. Tracking of Ehcache recommendations started around Mar 2021.

What are some alternatives?

When comparing Apache Ignite and Ehcache, you can also consider the following products

Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.

memcached - High-performance, distributed memory object caching system

Amazon Aurora - MySQL and PostgreSQL-compatible relational database built for the cloud. Performance and availability of commercial-grade databases at 1/10th the cost.

Microsoft Azure SQL Database - Azure SQL Database lets you create, extend and scale relational applications into the cloud.

Aerospike - Aerospike is a high-performing NoSQL database supporting high transaction volumes with low latency.

Hazelcast - Clustering and highly scalable data distribution platform for Java

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