What is better Apache Hadoop or IBM Cognos? Choosing the best Data Analytics Software for your business is difficult with various features, choices, and terms to consider. But, using our review platform will help you to cut down the necessary steps by displaying all major solutions in one location.
For instance, you can contrast Apache Hadoop and IBM Cognos for their features and overall scores, namely, 9.8 and 9.1, respectively. Furthermore, you can check which product has higher general user satisfaction rating: 99% (Apache Hadoop) and 99% (IBM Cognos) to find out which one is the better option for your organization. Don’t just choose the service with the most attractive price, but the solution that has the best value.
Right now, the most popular services in our Data Analytics Software category are: IBM Business Analytics, Apache Spark, Apache Hadoop.
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 reviews that we provided in this comparison were collated from official company pages, promotional content available online, actual experience from real clients as well as our personal direct use of each product by an expert. We put a lot of effort to comprehensively examine each app, therefore we not only analyze it internally, but we also match our findings with opinions of other members from the SaaS community.
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