HBase vs. RocksDB vs. Hadoop

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


HBase

RocksDB

Hadoop

Favorites

13

Favorites

8

Favorites

44

Hacker News, Reddit, Stack Overflow Stats

  • -
  • -
  • 6.09K
  • 326
  • 26
  • 129
  • -
  • 29
  • 38.2K

GitHub Stats

Description

What is HBase?

Apache HBase is an open-source, distributed, versioned, column-oriented store modeled after Google' Bigtable: A Distributed Storage System for Structured Data by Chang et al. Just as Bigtable leverages the distributed data storage provided by the Google File System, HBase provides Bigtable-like capabilities on top of Apache Hadoop.

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.

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.

Pros about this tool

Why do you like HBase?

Why do you like RocksDB?

Why do you like Hadoop?

Cons about this tool

Customers

Integrations

Latest News

All things RocksDB at Percona Live Europe 2017
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


Interest Over Time


Get help choosing one of these