MySQL vs. SQLite vs. Hadoop

Get help choosing one of these Get news updates about these tools


MySQL

SQLite

Hadoop

Favorites

387

Favorites

70

Favorites

45

Hacker News, Reddit, Stack Overflow Stats

  • 1.11K
  • 8.42K
  • 530K
  • 3.74K
  • 6.33K
  • 62.3K
  • -
  • 29
  • 38.7K

GitHub Stats

No public GitHub repository stats available

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 SQLite?

SQLite is an embedded SQL database engine. Unlike most other SQL databases, SQLite does not have a separate server process. SQLite reads and writes directly to ordinary disk files. A complete SQL database with multiple tables, indices, triggers, and views, is contained in a single disk file.

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.

Pros about this tool

Pros
Why do you like MySQL?

Pros
Why do you like SQLite?

Pros
Why do you like Hadoop?

Cons about this tool

Cons
Cons
Cons
No Cons submitted yet for Hadoop

Companies

2402 Companies Using MySQL
237 Companies Using SQLite
207 Companies Using Hadoop

Integrations

MySQL Integrations
SQLite Integrations
Hadoop Integrations

Latest News

MySQL @ FOSSASIA, 2018
Using dbdeployer in CI tests
Archiving MySQL Tables in ClickHouse
orchestrator 3.0.2 GA released: raft consensus, SQLite
Using Active Record migrations beyond SQLite
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


Interest Over Time


Get help choosing one of these