MongoDB vs Hazelcast

Struggling to choose between MongoDB and Hazelcast? 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, Hazelcast is a Development product tagged with caching, processing-streams, clustering.

Its standout features include Distributed in-memory data store, Low latency data access, Automatic sharding and rebalancing, ACID transactions, Querying and aggregation, Event journaling, Multi-datacenter replication, Web session clustering, Continuous query, Machine learning, and it shines with pros like Fast performance, Easy scalability, High availability, Flexible deployment options, Open source, Rich ecosystem.

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:
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


Hazelcast

Hazelcast

Hazelcast is an open source in-memory data grid that enables distribution of data and computation across servers for scalability, speed, and resilience. It is commonly used for caching, processing streams, and clustering.

Categories:
caching processing-streams clustering

Hazelcast Features

  1. Distributed in-memory data store
  2. Low latency data access
  3. Automatic sharding and rebalancing
  4. ACID transactions
  5. Querying and aggregation
  6. Event journaling
  7. Multi-datacenter replication
  8. Web session clustering
  9. Continuous query
  10. Machine learning

Pricing

  • Open Source
  • Enterprise Edition (Subscription)

Pros

Fast performance

Easy scalability

High availability

Flexible deployment options

Open source

Rich ecosystem

Cons

Complex configuration

Steep learning curve

No visual interface