H2 Database Engine vs BigMemory
Struggling to choose between H2 Database Engine and BigMemory? Both products offer unique advantages, making it a tough decision.
H2 Database Engine is a Development solution with tags like sql, jdbc, java, opensource, relational, embedded, clientserver.
It boasts features such as Embedded and server modes, Pure Java implementation, Very small footprint, SQL and JDBC support, Disk-based or in-memory databases, Browser-based Console application and pros including Lightweight and fast, Easy to embed in applications, Good for prototyping and testing, Developer-friendly, Written in Java - works anywhere Java works.
On the other hand, BigMemory is a Development product tagged with caching, data-management, low-latency.
Its standout features include 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, and it shines with pros like 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.
To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.
H2 Database Engine
H2 is an open-source relational database management system written in Java. It can be embedded in Java applications or run in client-server mode. H2 supports SQL and JDBC APIs and has a small footprint, making it well-suited for testing, prototyping, and small applications.
Categories:
H2 Database Engine Features
- Embedded and server modes
- Pure Java implementation
- Very small footprint
- SQL and JDBC support
- Disk-based or in-memory databases
- Browser-based Console application
Pricing
- Open Source
Pros
Cons
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.
Categories:
BigMemory 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