MongoDB vs. Hadoop vs. RocksDB

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MongoDB

Hadoop

RocksDB

Favorites

416

Favorites

45

Favorites

8

Hacker News, Reddit, Stack Overflow Stats

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  • 103K
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  • 38.7K
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GitHub Stats

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 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 RocksDB?

RocksDB is an embeddable persistent key-value store for fast storage. RocksDB can also be the foundation for a client-server database but our current focus is on embedded workloads. RocksDB builds on LevelDB to be scalable to run on servers with many CPU cores, to efficiently use fast storage, to support IO-bound, in-memory and write-once workloads, and to be flexible to allow for innovation.

Pros about this tool

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Why do you like MongoDB?

Pros
Why do you like Hadoop?

Pros
Why do you like RocksDB?

Cons about this tool

Cons
Cons
No Cons submitted yet for Hadoop
Cons
No Cons submitted yet for RocksDB

Pricing

MongoDB Pricing

Companies

1766 Companies Using MongoDB
207 Companies Using Hadoop
4 Companies Using RocksDB

Integrations

MongoDB Integrations
Hadoop Integrations
No integrations listed yet

Latest News

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Elasticsearch for Apache Hadoop 6.0.0 GA is Released
All things RocksDB at Percona Live Europe 2017


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