MongoDB vs. Hazelcast vs. RocksDB

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Heads up: you're comparing apples to oranges. Tools belonging to different groups are often not directly comparable because they usually have different intended purposes and benefits.

MongoDB

Hazelcast

RocksDB

Favorites

405

Favorites

8

Favorites

8

Hacker News, Reddit, Stack Overflow Stats

  • 623
  • 542
  • 99.1K
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  • 14
  • 1.63K
  • 326
  • 26
  • 128

GitHub Stats

Description

What is MongoDB?

MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.

What is Hazelcast?

With its various distributed data structures, distributed caching capabilities, elastic nature, memcache support, integration with Spring and Hibernate and more importantly with so many happy users, Hazelcast is feature-rich, enterprise-ready and developer-friendly in-memory data grid solution.

What is RocksDB?

RocksDB is an embeddable persistent key-value store for fast storage. RocksDB can also be the foundation for a client-server database but our current focus is on embedded workloads. RocksDB builds on LevelDB to be scalable to run on servers with many CPU cores, to efficiently use fast storage, to support IO-bound, in-memory and write-once workloads, and to be flexible to allow for innovation.

Pros about this tool

Why do you like MongoDB?

Why do you like Hazelcast?

Why do you like RocksDB?

Cons about this tool

Pricing

Hazelcast Pricing

Customers

Integrations

Latest News

This Week in Data with Colin Charles 28: Percona Liv...
Performing a Live Migration from a MongoDB Cluster t...
MongoDB’s Drive to Multi-Document Transactions
Spring Integration Extension for Hazelcast 1.0.0 GA ...
Build a Spring Boot API with Hazelcast for Cached Us...
All things RocksDB at Percona Live Europe 2017


Interest Over Time


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