Hadoop vs. Riak vs. RocksDB

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


Hadoop

Riak

RocksDB

Favorites

44

Favorites

17

Favorites

8

Hacker News, Reddit, Stack Overflow Stats

  • -
  • 29
  • 38.2K
  • 1.45K
  • 438
  • 759
  • 326
  • 26
  • 129

GitHub Stats

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 Riak?

Riak is a distributed database designed to deliver maximum data availability by distributing data across multiple servers. As long as your client can reach one Riak server, it should be able to write data. In most failure scenarios, the data you want to read should be available, although it may not be the most up-to-date version of that data.

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

Why do you like Hadoop?

Why do you like Riak?

Why do you like RocksDB?

Cons about this tool

Customers

Integrations

Latest News

Elasticsearch for Apache Hadoop 6.2.0 Released
Elasticsearch for Apache Hadoop 6.0.0 GA is Released
Introducing Spark Structured Streaming Support in ES...
All things RocksDB at Percona Live Europe 2017


Interest Over Time


Get help choosing one of these