What is better Upsolver or Apache Hadoop? It’s easy to our scoring system to help you get a general idea which Data Analytics Software product is will work better for your business. For overall product quality, Upsolver earned 8.0 points, while Apache Hadoop received 9.8 points. Meanwhile, for user satisfaction, Upsolver scored 100%, while Apache Hadoop scored 99%.
Specifics of their characteristics, tools, supported platforms, customer support, etc. are given below to help you get a more versatile assessment. Don’t forget to choose only the functions that you need to avoid wasting resources for features that you won’t be using.
If you want to quickly locate the more reliable Data Analytics Software according to our review team we suggest you try out the following products: Apache Spark, Apache Hadoop, IBM Business Analytics.
Contact Upsolver for information on their basic and enterprise pricing options. You can also sign up for their 14-day trial and see if the software is a perfect fit for your business.
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.
It may not always be sufficient to just compare Upsolver and Apache Hadoop against one another. While useful features, cost and user reviews are all important and should be taken into account when making a final decision, you should also pay attention to the recognition and awards won by each service. Very often a less known solution may turn out to be a good choice that was a winner of many industry awards such as our Experts’ Choice Award which proves that in spite of smaller market popularity it’s a significant rival to the apps that dominate the market.
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