MongoDB vs. RethinkDB vs. HBase

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MongoDB

RethinkDB

HBase

Favorites

416

Favorites

59

Favorites

13

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  • 555
  • 103K
  • 5.12K
  • 1.16K
  • 1.32K
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  • 6.18K

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 RethinkDB?

RethinkDB is built to store JSON documents, and scale to multiple machines with very little effort. It has a pleasant query language that supports really useful queries like table joins and group by, and is easy to setup and learn.

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.

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Why do you like MongoDB?

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Why do you like RethinkDB?

Pros
Why do you like HBase?

Cons about this tool

Cons
Cons
No Cons submitted yet for RethinkDB
Cons
No Cons submitted yet for HBase

Pricing

MongoDB Pricing

Companies

1767 Companies Using MongoDB
38 Companies Using RethinkDB
48 Companies Using HBase

Integrations

MongoDB Integrations
RethinkDB Integrations
HBase Integrations

Latest News

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This Week in Data with Colin Charles 28: Percona Liv...
Performing a Live Migration from a MongoDB Cluster t...
The liberation of RethinkDB


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