ArangoDB vs. RocksDB vs. Citus

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ArangoDB

RocksDB

Citus

Favorites

23

Favorites

8

Favorites

8

Hacker News, Reddit, Stack Overflow Stats

  • 1.48K
  • 327
  • 1.24K
  • 326
  • 28
  • 132
  • 3.65K
  • 2.41K
  • 38

GitHub Stats

Description

What is ArangoDB?

A distributed free and open-source database with a flexible data model for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions.

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.

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.

Pros about this tool

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Why do you like ArangoDB?

Pros
Why do you like RocksDB?

Pros
Why do you like Citus?

Cons about this tool

Cons
Cons
No Cons submitted yet for RocksDB
Cons
No Cons submitted yet for Citus

Pricing

Citus Pricing

Companies

6 Companies Using ArangoDB
4 Companies Using RocksDB
13 Companies Using Citus

Integrations

No integrations listed yet
No integrations listed yet
Citus Integrations

What are some alternatives to ArangoDB, RocksDB, and Citus?

  • MySQL - The world's most popular open source database
  • PostgreSQL - A powerful, open source object-relational database system
  • MongoDB - The database for giant ideas
  • Microsoft SQL Server - A relational database management system developed by Microsoft

See all alternatives to ArangoDB

Latest News

All things RocksDB at Percona Live Europe 2017
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...


Interest Over Time


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