What is better Lentiq or Apache Hadoop? When you need an effective Data Analytics Software product for your business you should take time to examine various alternatives. It doesn’t have to be complex, and can be as easy as matching their functionalities in a table like the one below. You will also get a brief idea how each product operates. As an example, on this page you can check Lentiq’s overall score of 8.0 and compare it against Apache Hadoop’s score of 9.8; or Lentiq’s user satisfaction level at N/A% versus Apache Hadoop’s 99% satisfaction score.
The comparison will allow you to find out the strengths and weaknesses of each program, and choose which one fits you requirements better. Aside from the rich features, the application that’s simple to grasp and use is always the better choice.
We realize that not all companies have enough time to try out dozens of different products, so we created a list of recommendations that you may find useful. Our top selections for the Data Analytics Software category are: IBM Business Analytics, Apache Hadoop, Apache Spark.
Lentiq is a solution that enables you to create a unique, distributed data lake for your organization that’s made out of interconnected data pools supporting multiple public clouds at the same time.
If you are interested in this product, you can request early access and custom enterprise pricing by email. Contact the vendor for pricing information.
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 opinions that we provided in this comparison were collated from official vendor pages, advertising materials available online, real-life experience from real customers as well as our individual everyday use of each product by a professional reviewer. We pay a lot of attention to comprehensively examine every solution, therefore we not only test it on our own, but we also match our results with views of other members from the B2B community.
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