Apache Ignite

Apache Ignite

Apache Ignite is an open-source distributed database, caching, and processing platform for real-time, large-scale applications. It provides in-memory computing for speed and high availability by distributing data across a cluster.
Apache Ignite image
distributed database caching processing realtime high-availability

Apache Ignite: Open-Source Distributed Database Platform

Real-time, large-scale application platform with in-memory computing for speed and high availability

What is Apache Ignite?

Apache Ignite is an open-source distributed database, caching, and processing platform designed for building real-time, scalable applications that need to process large data sets. It provides in-memory computing technologies such as a distributed key-value store, SQL and ACID-compliant transactions, data processing and analytics, and service grid.

Key features of Ignite include:

  • Distributed ACID-compliant database with SQL and processing capabilities
  • In-memory data storage for speed and low latency
  • Data partitioned across nodes in a cluster for high availability
  • Parallel processing using a compute grid for scalability
  • Caching for frequently accessed data
  • Persistence to disk and across clusters for disaster recovery
  • APIs for C++, Java, .NET, Python and platforms like Hadoop and Spark

Ignite is well suited for use cases needing real-time analytics on streaming data, faster transactions for financial data, telecom network planning, e-commerce recommendations, and other applications needing horizontal scale and low latency. It can integrate with persistent databases like RDBMS and NoSQL databases.

Apache Ignite Features

Features

  1. In-memory data grid
  2. SQL and ACID compliance
  3. Distributed computing
  4. High availability
  5. Horizontal scalability
  6. Collocated computations
  7. Interoperability

Pricing

  • Open Source

Pros

Very fast performance

Flexible deployment options

Strong consistency

Auto-sharding

ANSI SQL support

Machine learning integration

Cons

Complex installation and configuration

Steep learning curve

No built-in monitoring and management

Limited documentation and support


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