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Apache Ignite

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

Apache Ignite

Apache Ignite Reviews and Details

This page is designed to help you find out whether Apache Ignite is good and if it is the right choice for you.

Screenshots and images

  • Apache Ignite Landing page
    Landing page //
    2023-07-08

Features & Specs

  1. 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.

  2. Scalability

    The system is designed to scale horizontally, allowing users to add more nodes to handle increased loads, thereby ensuring high availability and performance.

  3. Distributed Compute Capabilities

    Ignite supports parallel execution of tasks across cluster nodes, which is beneficial for complex computations and real-time processing.

  4. 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.

  5. SQL Queries

    Ignite offers support for ANSI-99 SQL, which allows users to execute complex SQL queries across distributed datasets easily.

  6. Integration

    It integrates well with existing Hadoop and Spark setups, allowing users to enhance their existing data pipelines with Igniteโ€™s capabilities.

  7. Fault Tolerance

    Apache Ignite includes built-in mechanisms for recovery and ensures that data copies are maintained across nodes for resilience against node failures.

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Videos

Best Practices for a Microservices Architecture on Apache Ignite

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

Social recommendations and mentions

We have tracked the following product recommendations or mentions on various public social media platforms and blogs. They can help you see what people think about Apache Ignite and what they use it for.
  • 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

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Is Apache Ignite good? This is an informative page that will help you find out. Moreover, you can review and discuss Apache Ignite here. The primary details have not been verified within the last quarter, and they might be outdated. If you think we are missing something, please use the means on this page to comment or suggest changes. All reviews and comments are highly encouranged and appreciated as they help everyone in the community to make an informed choice. Please always be kind and objective when evaluating a product and sharing your opinion.