Hadoop vs. Hazelcast vs. MarkLogic

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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.

Hadoop

Hazelcast

MarkLogic

Favorites

43

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8

Favorites

4

Hacker News, Reddit, Stack Overflow Stats

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GitHub Stats

No public GitHub repository stats available

Description

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.

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

Why do you like Hadoop?

Why do you like Hazelcast?

Why do you like MarkLogic?

Cons about this tool

Pricing

Hazelcast Pricing

Customers

Integrations

Latest News

How to Get Hadoop Data into a Python Model
Introducing Spark Structured Streaming Support in ES...
Spring for Apache Hadoop 2.5.0 GA released
Spring Integration Extension for Hazelcast 1.0.0 GA ...
Build a Spring Boot API with Hazelcast for Cached Us...


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