What is better SCIKIQ or Apache Hadoop? It’s a good idea to use our scoring system to give you a general idea which Data Analytics Software product is more suitable for your business. For overall product quality, SCIKIQ earned 8.0 points, while Apache Hadoop earned 9.8 points. At the same time, for user satisfaction, SCIKIQ scored 93%, while Apache Hadoop scored 99%.
Specifics of their unique elements, tools, supported platforms, customer support, etc. are provided below to provide you with a more correct assessment. Don’t forget to get only the tools that you need so as not to waste cash for features that you won’t be using.
Currently, the best solutions in our Data Analytics Software category are: Apache Spark, Apache Hadoop, IBM Business Analytics.
SCIKIQ’s enterprise pricing plan details are available only upon request. It also has community editions that allow users to access and leverage the technologies and capabilities provided by various third-party platforms and software vendors without paying for separate, extra licenses.
SCIKIQ is a Forrester-honored data management solution that lets you unlock and gain from the potentialities of your business data by augmenting data integration, preparation, analysis, and governance with AI and automation.
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, information and statistics that we offered in this comparison were gathered from official company websites, marketing materials available online, real-life experience from real customers as well as our individual hands-on use of every service by an expert. We put a lot of effort to extensively analyze each software, so we not only analyze it ourselves, but we also match our findings with views of other users from the B2B community.
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