BigMemory vs MongoDB

Struggling to choose between BigMemory and MongoDB? Both products offer unique advantages, making it a tough decision.

BigMemory is a Development solution with tags like caching, data-management, low-latency.

It boasts features such as 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 pros including 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.

On the other hand, MongoDB is a Development product tagged with nosql, document-database, open-source.

Its standout features include Document-oriented storage, Automatic sharding, Rich and expressive query language, High availability, Horizontal scalability, and it shines with pros like Flexible schema, High performance, Easy scalability, Rich query capabilities, High availability.

Feature	BigMemory	MongoDB
Overall Score	N/A	1
Primary Category	Development	Development

Product Overview

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.

MongoDB

Description: MongoDB is a popular open-source, document-oriented NoSQL database. It stores data in flexible, JSON-like documents, rather than rows and columns used in traditional RDBMS. MongoDB is scalable, high-performance and easy to use.

Key Features Comparison

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

MongoDB Features

• Document-oriented storage
• Automatic sharding
• Rich and expressive query language
• High availability
• Horizontal scalability

Pros & Cons Analysis

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

MongoDB

Pros

• Flexible schema
• High performance
• Easy scalability
• Rich query capabilities
• High availability

Cons

• No transactions
• No joins
• Limited query flexibility compared to SQL
• Steep learning curve

Pricing Comparison

BigMemory

• Subscription-Based

MongoDB

• Open Source
• Subscription-Based