What is better Apache Hadoop or Alteryx? You can use our scoring system to give you a general idea which Data Analytics Software product is more suitable for your company. For overall product quality, Apache Hadoop earned 9.8 points, while Alteryx gained 8.8 points. Meanwhile, for user satisfaction, Apache Hadoop scored 99%, while Alteryx scored 96%.
Information regarding their features, tools, supported platforms, customer support, etc. are available below to help you get a more accurate assessment. Keep in mind to choose only the tools that you need to avoid wasting cash for functions that are unnecessary.
As of now, 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.
All the data, facts and statistics that we presented in this analysis were taken from official vendor websites, promotional resources available online, real-life experience from real customers as well as our own everyday use of every service by an expert. We do our best to comprehensively study every app, so we not only analyze it on our own, but we also compare our observations with views of other people from the B2B community.
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