What is better Pecan or Apache Hadoop? When selecting the ideal Data Analytics Software for your business it is recommended that you evaluate the characteristics, prices, along with other essential details concerning the product and vendor. Here, you are able to see the similarities and distinctions between Pecan (overall score at 8.5 and user satisfaction at 97%) and Apache Hadoop (overall score at 9.8 and user satisfaction at 99%).
You may also examine their specific modules, for example tools, plans, pricing, terms, etc. What is more, read the terms thoroughly for information on hidden fees, like, installation, separate support plan, upgrade fees, cloud storage fees, and more.
We realize that not all businesses have enough time to try out a wide range of different services, so we prepared a list of recommendations that you may find useful. Our top selections for the Predictive Analysis Software category are: Wolfram Mathematica, Microsoft Azure Machine Learning Studio, Sisense.
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.
In the event you are still having second thoughts about which service will work best in your case it may be a good idea to examine each service’s social metrics. Such metrics are usually a way to see how popular each app is and how big is its online presence. For example, in case of Facebook Pecan has 0 likes on their official profile while Apache Hadoop profile is liked by 1552 users.
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