MongoDB vs. HBase vs. RocksDB

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MongoDB

HBase

RocksDB

Favorites

419

Favorites

13

Favorites

8

Hacker News, Reddit, Stack Overflow Stats

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  • 104K
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  • 6.21K
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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 HBase?

Apache HBase is an open-source, distributed, versioned, column-oriented store modeled after Google' Bigtable: A Distributed Storage System for Structured Data by Chang et al. Just as Bigtable leverages the distributed data storage provided by the Google File System, HBase provides Bigtable-like capabilities on top of Apache Hadoop.

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

Pros
Why do you like MongoDB?

Pros
Why do you like HBase?

Pros
Why do you like RocksDB?

Cons about this tool

Cons
Cons
No Cons submitted yet for HBase
Cons
No Cons submitted yet for RocksDB

Pricing

MongoDB Pricing

Companies

1814 Companies Using MongoDB
47 Companies Using HBase
4 Companies Using RocksDB

Integrations

MongoDB Integrations
HBase Integrations
No integrations listed yet

What are some alternatives to MongoDB, HBase, and RocksDB?

  • MySQL - The world's most popular open source database
  • PostgreSQL - A powerful, open source object-relational database system
  • Microsoft SQL Server - A relational database management system developed by Microsoft
  • MariaDB - An enhanced, drop-in replacement for MySQL

See all alternatives to MongoDB

Latest News

Sharded replica sets - MySQL and MongoDB
This Week in Data with Colin Charles 28: Percona Liv...
Performing a Live Migration from a MongoDB Cluster t...
All things RocksDB at Percona Live Europe 2017


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