MySQL vs. Hadoop vs. RocksDB

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MySQL

Hadoop

RocksDB

Favorites

387

Favorites

45

Favorites

8

Hacker News, Reddit, Stack Overflow Stats

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GitHub Stats

Description

What is MySQL?

The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.

What is Hadoop?

The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage.

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 MySQL?

Pros
Why do you like Hadoop?

Pros
Why do you like RocksDB?

Cons about this tool

Cons
Cons
No Cons submitted yet for Hadoop
Cons
No Cons submitted yet for RocksDB

Companies

2406 Companies Using MySQL
208 Companies Using Hadoop
4 Companies Using RocksDB

Integrations

MySQL Integrations
Hadoop Integrations
No integrations listed yet

Latest News

MySQL @ FOSSASIA, 2018
Using dbdeployer in CI tests
Archiving MySQL Tables in ClickHouse
Elasticsearch for Apache Hadoop 6.2.0 Released
How to Get Hadoop Data into a Python Model
Elasticsearch for Apache Hadoop 6.0.0 GA is Released
All things RocksDB at Percona Live Europe 2017


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