MongoDB vs. Citus vs. CrateIO

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MongoDB

Citus

CrateIO

Favorites

418

Favorites

8

Favorites

5

Hacker News, Reddit, Stack Overflow Stats

  • 623
  • 599
  • 104K
  • 3.65K
  • 2.41K
  • 38
  • 763
  • 961
  • 0

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 Citus?

Citus is worry-free Postgres for SaaS. Made to scale out, Citus is an extension to Postgres that distributes queries across any number of servers. Citus is available as open source, as on-prem software, and as a fully-managed service.

What is CrateIO?

Crate is a distributed data store. Simply install Crate directly on your application servers and make the big centralized database a thing of the past. Crate takes care of synchronization, sharding, scaling, and replication even for mammoth data sets.

Pros about this tool

Pros
Why do you like MongoDB?

Pros
Why do you like Citus?

Pros
Why do you like CrateIO?

Cons about this tool

Cons
Cons
No Cons submitted yet for Citus
Cons
No Cons submitted yet for CrateIO

Pricing

MongoDB Pricing Citus Pricing

Companies

1808 Companies Using MongoDB
13 Companies Using Citus
0 Companies Using CrateIO

Integrations

MongoDB Integrations
Citus Integrations
CrateIO Integrations

What are some alternatives to MongoDB, Citus, and CrateIO?

  • 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...
How the Citus distributed database rebalances your data
Citus 7.2: Distributed Postgres w/ CTEs, complex sub...
Citus and pg_partman: Creating a scalable time serie...


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