What is better Verofax or Apache Hadoop? To make sure you get the most efficient and productive Data Analytics Software for your enterprise, you should compare products available on the market. For example, here you can match Verofax’s overall score of 8.0 against Apache Hadoop’s score of 9.8. You can also evaluate their general user satisfaction: Verofax (100%) vs. Apache Hadoop (99%).
Moreover, you can review their strengths and weaknesses feature by feature, including their offered terms and costs. By comparing products you are more likely to select the right software for your business. Of course you have to know your unique needs to realize which service meets those needs.
Users who want to save some time or want a Data Analytics Software suggestion from our team may want to investigate these top choices for this year: Apache Spark, Apache Hadoop, IBM Business Analytics.
Verofax is a Traceability-as-a-Service solution that boosts supply chain visibility, efficiency, resiliency, and sustainability through blockchain, IoT, and AI technologies.
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 reviews that we shared in this table were collected from official vendor websites, marketing resources available online, actual experience from real clients as well as our own hands-on use of each software by an expert. We put a lot of effort to thoroughly study every software, as a result we not only examine it ourselves, but we also correlate our observations with opinions of other people from the SaaS community.
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