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Infinispan VS Apache Ignite

Compare Infinispan VS Apache Ignite and see what are their differences

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  2. » Videos
  3. » Reviews
  4. » Alternatives

Infinispan logo Infinispan

A distributed in-memory key/value data store with optional schema.

Apache Ignite logo Apache Ignite

high-performance, integrated and distributed in-memory platform for computing and transacting on...
  • Infinispan Landing page
    Landing page //
    2023-10-04
  • Apache Ignite Landing page
    Landing page //
    2023-07-08

Infinispan features and specs

No features have been listed yet.

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 Ignite’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.

Infinispan videos

+ Add

Infinispan admin console - concepts overview

More videos:

  • Review - Infinispan 9.1 admin console - What's new
  • Review - Infinispan from POC to Production

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

Category Popularity

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

Infinispan

Apache Ignite

Databases
25 25%
Databases
75% 75
NoSQL Databases
31 31%
NoSQL Databases
69% 69
Key-Value Database
37 37%
Key-Value Database
63% 63
Graph Databases
100 100%
Graph Databases
0% 0

User comments

Share your experience with using Infinispan and Apache Ignite. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, Apache Ignite should be more popular than Infinispan. It has been mentiond 3 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.

Infinispan mentions (1)

  • Created a simple key value pair cache in Golang using a custom tcp protocol(for fun, don't use this in production usage)
    You can already download it for free you know. Source: over 2 years ago

Apache Ignite mentions (3)

  • API Caching: Techniques for Better Performance
    Apache Ignite — 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 / 12 months 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 3 years ago
  • .NET and Apache Ignite: Testing Cache and SQL API features — 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: about 4 years ago

What are some alternatives?

When comparing Infinispan and Apache Ignite, 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

CouchBase - Document-Oriented NoSQL Database

Apache Arrow - Apache Arrow is a cross-language development platform for in-memory data.

MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.

KeyDB - KeyDB is fast NoSQL database with full compatibility for Redis APIs, clients, and modules.

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