What is better Apache Hadoop or Qlik Sense? There are many Data Analytics Software products out there today. The ideal way to find out which one fits your needs best is to check them side by side. As an example, here you can assess Apache Hadoop and Qlik Sense for their overall score (9.8 vs. 8.9, respectively) or their user satisfaction rating (99% vs. 96%, respectively).
Additionally, you can review their features and pricing conditions and other useful information below. When matching products make sure you compare their similar advantages and mark their distinctive elements to obtain a clearer picture of both deals. Likewise, remember to assess secondary issues such as security, backup, ease-of-use, and customer support.
At this time, the leading products in our Data Analytics Software category are: 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.
The products analyzed on this page are merely a small sample of our full Data Analytics Software category and you should remember that there may be better solutions out there. If you want to ensure you make the wisest choice for your company we strongly suggest that you try out more apps first. You can also consider to consult our top 10 Data Analytics Software ranking to see which services are currently the highest-ranking ones and dominate the market.
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