Hadoop vs. Couchbase vs. RocksDB

Get help choosing one of these Get news updates about these tools


Hadoop

Couchbase

RocksDB

Favorites

45

Favorites

19

Favorites

8

Hacker News, Reddit, Stack Overflow Stats

  • -
  • 29
  • 38.6K
  • 163
  • 822
  • 2.78K
  • 326
  • 26
  • 133

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 Couchbase?

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

Pros
Why do you like Hadoop?

Pros
Why do you like Couchbase?

Pros
Why do you like RocksDB?

Companies

207 Companies Using Hadoop
41 Companies Using Couchbase
4 Companies Using RocksDB

Integrations

Hadoop Integrations
Couchbase Integrations
No integrations listed yet

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
Guest post: How Seenit uses Google Cloud Platform an...
Auto-Scalable Couchbase Cluster in Containers: One-C...
All things RocksDB at Percona Live Europe 2017


Interest Over Time


Get help choosing one of these