What is better Daton or Apache Hadoop? There is a wide range of Data Analytics Software products in the market these days. The simplest way to find out which service fits your needs best is to evaluate them side by side. As an example, here you can review Daton and Apache Hadoop for their overall score (8.0 vs. 9.8, respectively) or their user satisfaction rating (100% vs. 99%, respectively).
You can even review their functions and pricing stipulations and other helpful details below. When matching products make sure you check their corresponding advantages and mark their differences to get a clearer picture of both deals. What is more keep in mind to assess other issues like security, backup, intuitiveness, and helpdesk support.
Users who are pressed for time or would like to get a Data Analytics Software suggestion from our experts may want to try out these top choices for the current year: Apache Spark, Apache Hadoop, 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 the event you are still having doubts about which software will work best in your case it may be a sensible idea to analyze each service’s social metrics. These metrics are quite often an indicator of how popular every product is and how large is its online presence.For instance, if you check Daton LinkedIn account you’ll learn that they are followed by 601 people. In case of Apache Hadoop the volume of followers on their LinkedIn page is 21520.
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