What is better Apache Hadoop or MLens? Getting the perfect Data Analytics Software product is all about evaluating different solutions and determining the top program for your specific needs. Our exclusive system will give you a quick look at the general rating of Apache Hadoop and MLens. For overall quality and performance, Apache Hadoop scored 9.8, while MLens scored 8.0. On the other hand, for user satisfaction, Apache Hadoop earned 99%, while MLens earned N/A%.
Below it's also possible to verify their functionalities, terms, plans, etc. to determine what software will be more suitable for your situation. One key aspect to assess is if the application can enable/disable restrictions on various types of users to protect any sensitive corporate data.
In case you you need to quickly find the best Data Analytics Software according to our review team we suggest you check out these products: 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.
Almost as crucial as useful features and client support level are pricing packages given by Apache Hadoop and MLens. Even though cost should not be the only factor it’s surely a significant thing to think about. You should expect a flexible pricing plan that can be matched with your team size and painlessly scaled up every time your company develops. Make sure you don’t opt for plans that include complex functionalities that you won’t use and always make an effort to get in touch with the vendor directly as enterprises can frequently count on more affordable prices. You should also try out a free trial or demo of each software to spend at least some time using it. It’s a helpful experience that doesn’t require you to pay any money and offers a reliable overview of what it feels like to work with Apache Hadoop and MLens.
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