MariaDB vs. Hadoop vs. Hazelcast

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Heads up: you're comparing apples to oranges. Tools belonging to different groups are often not directly comparable because they usually have different intended purposes and benefits.

MariaDB

Hadoop

Hazelcast

Favorites

61

Favorites

44

Favorites

8

Hacker News, Reddit, Stack Overflow Stats

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  • 221
  • 4.67K
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  • 29
  • 38.1K
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  • 14
  • 1.63K

GitHub Stats

Description

What is MariaDB?

Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable, and sanely licensed open SQL server in the industry. MariaDB is designed as a drop-in replacement of MySQL(R) with more features, new storage engines, fewer bugs, and better performance.

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 Hazelcast?

With its various distributed data structures, distributed caching capabilities, elastic nature, memcache support, integration with Spring and Hibernate and more importantly with so many happy users, Hazelcast is feature-rich, enterprise-ready and developer-friendly in-memory data grid solution.

Pros about this tool

Why do you like MariaDB?

Why do you like Hadoop?

Why do you like Hazelcast?

Cons about this tool

Pricing

Hazelcast Pricing

Customers

Integrations

Latest News

Bitten by MariaDB 10.2 Incompatibile Change
MariaDB 10.2.13, MariaDB Connector/ODBC 3.0.3 and Ma...
MariaDB Server 10.2.13 now available
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
Spring Integration Extension for Hazelcast 1.0.0 GA ...
Build a Spring Boot API with Hazelcast for Cached Us...


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