MySQL vs. Hadoop vs. MarkLogic

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MySQL

Hadoop

MarkLogic

Favorites

387

Favorites

45

Favorites

4

Hacker News, Reddit, Stack Overflow Stats

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  • 530K
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  • 38.7K
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  • 2.25K

GitHub Stats

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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 MarkLogic?

MarkLogic is the only Enterprise NoSQL database, bringing all the features you need into one unified system: a document-centric, schema-agnostic, structure-aware, clustered, transactional, secure, database server with built-in search and a full suite of application services.

Pros about this tool

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Why do you like MySQL?

Pros
Why do you like Hadoop?

Pros
Why do you like MarkLogic?

Cons about this tool

Cons
Cons
No Cons submitted yet for Hadoop
Cons
No Cons submitted yet for MarkLogic

Companies

2402 Companies Using MySQL
207 Companies Using Hadoop
1 Companies Using MarkLogic

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


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