BigMemory
BigMemory is an in-memory data management system that provides a fast, scalable cache and data store for applications. It allows storing terabytes of data in memory for low-latency data access.
BigMemory: Fast In-Memory Data Management System
BigMemory provides a fast, scalable cache and data store for applications, allowing terabytes of data to be stored in memory for low-latency data access.
What is BigMemory?
BigMemory is an in-memory data management system developed by Terracotta. It provides a fast, scalable in-memory cache and data store for applications to boost performance.
Key features of BigMemory include:
- Distributed in-memory data storage across multiple servers
- Scales up to terabytes of data in memory
- Low latency data access and high throughput
- Persistence options todisk to prevent data loss
- Continuous availability with no single point of failure
- Integration with Spring and Hibernate frameworks
BigMemory is commonly used to provide a high-performance shared cache for web applications to reduce load off databases. It can also serve as a fast in-memory data store and analytics platform. Use cases include session management, HTTP caching, streaming data analysis, geospatial applications etc.
Overall, BigMemory allows storing large volumes of application data in memory for order-of-magnitude faster performance compared to disk-based databases. Its distributed architecture provides linear scalability and continuous uptime for mission-critical applications.
BigMemory Features
Features
- Distributed in-memory data storage
- Automatic data eviction and loading
- Read/write caching for databases
- Support for terabytes of data
- Integration with Hadoop and Spark
- High availability through replication and failover
Pricing
- Subscription-Based
Pros
Very fast data access and throughput
Reduces load on databases
Scales horizontally
Lowers infrastructure costs by using RAM instead of disks
Supports both Java and .NET platforms
Cons
Can lose data if not persisted
RAM is more expensive than disk
Not fully ACID compliant
Can be complex to configure and tune
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