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Apache Ignite

Distributed Database for High-Performance Computing with In-Memory Speed.

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Overview

Apache Ignite is a memory-centric distributed database, caching, and processing platform. It is designed for high-performance computing, enabling applications to handle large-scale transactional, analytical, and streaming workloads at in-memory speeds. It can be used as a traditional in-memory data grid or as a full-fledged distributed database with SQL, key-value, and ACID transaction support.

✨ Key Features

  • In-Memory Data Grid
  • Distributed SQL with ACID transactions
  • Key-Value Data Store
  • Compute Grid for parallel processing
  • Machine Learning Grid with distributed model training
  • Streaming and Complex Event Processing (CEP)

🎯 Key Differentiators

  • Memory-centric architecture that can also leverage disk
  • Strong SQL and ACID transaction support
  • Integrated machine learning and compute grid capabilities

Unique Value: Delivers a unified platform for HTAP workloads, combining the speed of in-memory computing with the scalability and persistence of a distributed database.

🎯 Use Cases (5)

Hybrid Transactional/Analytical Processing (HTAP) High-performance computing Real-time analytics Distributed caching Financial services applications

✅ Best For

  • Real-time risk management platforms
  • High-frequency trading systems
  • Large-scale e-commerce platforms

💡 Check With Vendor

Verify these considerations match your specific requirements:

  • Simple key-value caching (can be overkill)
  • Applications with very small datasets not requiring distribution

🏆 Alternatives

Hazelcast GridGain Redis SAP HANA

Provides a more comprehensive feature set, including compute and ML grids, compared to simpler IMDGs. It is a fully open-source alternative to commercial offerings like GridGain (which is built on Ignite).

💻 Platforms

API Self-hosted

🔌 Integrations

Apache Spark Apache Kafka Kubernetes Spring Hibernate

💰 Pricing

Contact for pricing
Free Tier Available

Free tier: Fully open-source, no limits on self-hosted version.

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