MongoDB vs BigMemory

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

MongoDB is a Development solution with tags like nosql, document-database, open-source.

It boasts features such as Document-oriented storage, Automatic sharding, Rich and expressive query language, High availability, Horizontal scalability and pros including Flexible schema, High performance, Easy scalability, Rich query capabilities, High availability.

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.

MongoDB

MongoDB

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.

Categories:
Development Databases
nosql document-database open-source

MongoDB Features

  1. Document-oriented storage
  2. Automatic sharding
  3. Rich and expressive query language
  4. High availability
  5. Horizontal scalability

Pricing

  • Open Source
  • Subscription-Based

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

BigMemory

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:
Development In-Memory Databases
caching data-management low-latency

BigMemory Features

  1. Distributed in-memory data storage
  2. Automatic data eviction and loading
  3. Read/write caching for databases
  4. Support for terabytes of data
  5. Integration with Hadoop and Spark
  6. 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