Cassandra vs. RocksDB vs. CrateIO

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Cassandra

RocksDB

CrateIO

Favorites

57

Favorites

8

Favorites

5

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GitHub Stats

Description

What is Cassandra?

Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.

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 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 Cassandra?

Pros
Why do you like RocksDB?

Pros
Why do you like CrateIO?

Cons about this tool

Cons
Cons
No Cons submitted yet for RocksDB
Cons
No Cons submitted yet for CrateIO
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Companies

290 Companies Using Cassandra
4 Companies Using RocksDB
0 Companies Using CrateIO

Integrations

Cassandra Integrations
No integrations listed yet
CrateIO Integrations

What are some alternatives to Cassandra, RocksDB, and CrateIO?

  • 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 Cassandra

Latest News

Cassandra Load Testing with Groovy
Using Instaclustr and Cassandra with Kong
Cassandra Query Language
All things RocksDB at Percona Live Europe 2017


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