MongoDB 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.

MongoDB

Hazelcast

MarkLogic

Favorites

411

Favorites

8

Favorites

4

Hacker News, Reddit, Stack Overflow Stats

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  • 555
  • 101K
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  • 14
  • 1.69K
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  • 66
  • 2.18K

GitHub Stats

No public GitHub repository stats available

Description

What is MongoDB?

MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.

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 MongoDB?

Why do you like Hazelcast?

Why do you like MarkLogic?

Cons about this tool

Pricing

Hazelcast Pricing

Customers

Integrations

Latest News

This Week in Data with Colin Charles 28: Percona Liv...
MongoDB Drops ACID
MongoDB’s Drive to Multi-Document Transactions
Spring Integration Extension for Hazelcast 1.0.0 GA ...
Build a Spring Boot API with Hazelcast for Cached Us...


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