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.

Feature	H2 Database Engine	BigMemory
Overall Score	N/A	N/A
Primary Category	Development	Development

Product Overview

H2 Database Engine

Description: 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.

BigMemory

Description: 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.

Key Features Comparison

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

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

Pros & Cons Analysis

H2 Database Engine

Pros

• Lightweight and fast
• Easy to embed in applications
• Good for prototyping and testing
• Developer-friendly
• Written in Java - works anywhere Java works

Cons

• Not designed for large-scale production use
• Limited ecosystem compared to larger databases
• Not as feature rich as commercial databases

BigMemory

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

Pricing Comparison

H2 Database Engine

• Open Source

BigMemory

• Subscription-Based