Hadoop vs. IBM DB2 vs. RocksDB

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Hadoop

IBM DB2

RocksDB

Favorites

45

Favorites

7

Favorites

8

Hacker News, Reddit, Stack Overflow Stats

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  • 38.9K
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  • 8.58K
  • 326
  • 28
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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 IBM DB2?

DB2 for Linux, UNIX, and Windows is optimized to deliver industry-leading performance across multiple workloads, while lowering administration, storage, development, and server costs.

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 Hadoop?

Pros
Why do you like IBM DB2?

Pros
Why do you like RocksDB?

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Companies

209 Companies Using Hadoop
7 Companies Using IBM DB2
4 Companies Using RocksDB

Integrations

Hadoop Integrations
IBM DB2 Integrations
No integrations listed yet

What are some alternatives to Hadoop, IBM DB2, and RocksDB?

  • MySQL - The world's most popular open source database
  • PostgreSQL - A powerful, open source object-relational database system
  • MongoDB - The database for giant ideas
  • Microsoft SQL Server - A relational database management system developed by Microsoft

See all alternatives to Hadoop

Latest News

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
All things RocksDB at Percona Live Europe 2017


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