Hazelcast
The Real-Time Data Platform.
Overview
Hazelcast is an in-memory computing platform that provides a distributed, in-memory data grid (IMDG) for storing and processing large volumes of data. It also includes a stream processing engine, making it suitable for real-time applications that require both fast data access and complex event processing. It's designed for high scalability and fault tolerance.
✨ Key Features
- In-Memory Data Grid (IMDG) for distributed caching
- In-Memory Data Store for key-value, object, and other data models
- Stream processing and event stream analysis
- Elastic scalability and fault tolerance
- Tiered Storage for handling data larger than memory
- SQL and distributed computations
🎯 Key Differentiators
- Unified platform for data storage and stream processing
- Java-native, making it popular in the Java ecosystem
- Strong focus on enterprise features like WAN replication and security
Unique Value: Simplifies real-time application development by unifying a fast data store and a stream processing engine in a single platform.
🎯 Use Cases (5)
✅ Best For
- Payment processing systems
- E-commerce inventory management
- Real-time risk analysis in financial services
💡 Check With Vendor
Verify these considerations match your specific requirements:
- Cold data storage
- Systems of record requiring traditional disk-based databases
🏆 Alternatives
Unlike pure data stores like Redis, Hazelcast provides integrated stream processing capabilities. Compared to complex big data frameworks, it offers a simpler, more lightweight solution for real-time use cases.
💻 Platforms
🔌 Integrations
🛟 Support Options
- ✓ Email Support
- ✓ Live Chat
- ✓ Phone Support
- ✓ Dedicated Support (Enterprise tier)
🔒 Compliance & Security
💰 Pricing
✓ 14-day free trial
Free tier: Community Edition (Open Source)
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