Hadoop vs. InfluxDB vs. Riak

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Hadoop

InfluxDB

Riak

Favorites

45

Favorites

32

Favorites

16

Hacker News, Reddit, Stack Overflow Stats

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  • 134
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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 InfluxDB?

InfluxDB is a scalable datastore for metrics, events, and real-time analytics. It has a built-in HTTP API so you don't have to write any server side code to get up and running. InfluxDB is designed to be scalable, simple to install and manage, and fast to get data in and out.

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.

Pros about this tool

Pros
Why do you like Hadoop?

Pros
Why do you like InfluxDB?

Pros
Why do you like Riak?

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Companies

209 Companies Using Hadoop
91 Companies Using InfluxDB
16 Companies Using Riak

Integrations

Hadoop Integrations
InfluxDB Integrations
Riak Integrations

What are some alternatives to Hadoop, InfluxDB, and Riak?

  • 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
A Deep Dive into InfluxDB
Scaling Riak and Solr for Marketing Campaigns
How to Back Up Riak and Solr Data


Interest Over Time


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