What is better RATH or Apache Hadoop? There are lots of Data Analytics Software products in the market right now. The ideal way to find out which app fits your needs best is to evaluate them side by side. For example, here you can assess RATH and Apache Hadoop for their overall score (8.0 vs. 9.8, respectively) or their user satisfaction rating (97% vs. 99%, respectively).
Additionally, you can review their features and pricing stipulations along with other useful facts below. When matching products make sure to examine their corresponding functions and mark their disparities to have a clearer picture of both deals. Likewise, remember to evaluate other issues including security, backup, intuitiveness, and helpdesk support.
Users who are pressed for time or would like to get a Data Analytics Software recommendation from our experts may want to examine these top choices for the current year: IBM Business Analytics, Apache Hadoop, Apache Spark.
RATH is a free, open-souce exploratory data analysis and visualization software that’s distributed and governed based on the terms and conditions of the GNU Alfero General Public License or GNU AGPL published by the Free Software Foundation.
This is a free, copyleft license that grants end users in the community the freedom to use, share, modify, and enhance projects, programs, and works. Thus, you don’t have to pay any enterprising plan fees for utilizing RATH for your data exploration activities.
RATH is a data analytics software that simplifies and augments the preparation, exploration, and visualization of data for data scientists, data analysts, and business intelligence users.
Company Email
support@kanaries.org
Contact No.
Company's Address
Kanaries Data, Inc.
8 The Green, Ste B, Dover, DE 19901
USA
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.
You shouldn’t count on only a wide array of features and adjustable pricing packages from a credible Data Analytics Software. Almost as crucial as main features is a top-notch customer support. You want to make sure that when you have any questions about RATH or Apache Hadoop, or you run into a problem, or perhaps you’ll want to request a certain change or feature beneficial to your team you can trust in a responsive and helpful customer support. Examine whether services such as phone support, tickets or live chat are offered. Additionally, it’s a significant advantage if you are able to profit from individual training or at the very least an FAQ you can use.
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