What is better Apache Hadoop or Kockpit Analytics? Purchasing the right Data Analytics Software product is as easy as comparing the solid and low characteristics and terms offered by Apache Hadoop and Kockpit Analytics. Here you can also match their total scores: 9.8 for Apache Hadoop vs. 8.0 for Kockpit Analytics. Or you can look at their general user satisfaction rating, 99% for Apache Hadoop vs. 96% for Kockpit Analytics.
We suggest that you spend some time to review their differences and figure out which one is the better alternative for your company. Likewise, bear in mind to take into account your company’s or industry’s special circumstances, for example, a multilingual app for a global staff or a mobile app to help you work in the field.
We did our best to review all popular Data Analytics Software solutions offered on the market, but among them these three caught our special attention: Apache Hadoop, Apache Spark, IBM Business Analytics.
Apache Hadoop is delivered based on the Apache License, a free and liberal software license that allows you to use, modify, and share any Apache software product for personal, research, production, commercial, or open source development purposes for free. Thus, you can use Apache Hadoop with no enterprise pricing plan to worry about.
Apache Hadoop integrates with the following open source projects and solutions from The Apache Software Foundation and third-party file systems:
Ambari
Avro
Cassandra
Chukwa
HBase
Hive
Mahout
Pig
Spark
Tez
ZooKeeper
YARN
Amazon S3
Azure Blob Storage
OpenStack Swift
Languages Supported
English
Chinese
German
Hindi
Japanese
Spanish
French
Russian
Italian
Dutch
Portugese
Polish
Turkish
Swedish
Arabic
Prominent Clients
Hortonworks, Inc., Uber Technologies, Inc., McKinsey & Company
Available Devices
Windows
Linux
Android
iPhone/iPad
Mac
Web-based
Windows Mobile
Company Size
Small Business
Large Enterprises
Medium Business
Freelancers
Available Support
email
phone
live support
training
tickets
General Info
A reliable, scalable, and open source software library and distributed computing framework developed for research and production-related activities; permitting users to process large amounts of data sets for data analysis, execute distributed parallel computing operations and tasks across clusters of servers and machines, and ensure the high performance and availability of applications that are running in Hadoop clusters.
In case you continue having doubts about which software will work best in your case it might be a sound idea to investigate each service’s social metrics. Such metrics are quite often an indicator of how popular each software is and how wide is its online presence.For example, if you check Apache Hadoop LinkedIn page you’ll learn that they are followed by 21520 users. In case of Kockpit Analytics the number of followers on their LinkedIn page is 2615.
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