What is better Apache Hadoop or Zepto? When scouting for the ideal Data Analytics Software for your enterprise it is suggested that you assess the characteristics, rates, and other critical information about the product and vendor. Here, you can check the similarities and distinctions between Apache Hadoop (overall score at 9.8 and user satisfaction at 99%) and Zepto (overall score at 8.0 and user satisfaction at 94%).
You can also check their unique details, such as services, plans, pricing, conditions, etc. Similarly, analyze the terms closely for information on hidden costs, including, setup cost, separate helpdesk support, upgrade fees, disk space fees, and others.
We are aware that not all people have enough time to try out a large number of different solutions, so we came up with a list of recommendations that you may find useful. Our top choices for the Data Analytics Software category are: Apache Spark, IBM Business Analytics, 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.
Every time you choose a service that you are sure will work best for your team you shouldn’t only focus on what reviewers have to say about it. In many cases individual experience with the service will vary, depending on your own preferences and needs. That’s the reason why in our reviews we also provide our User Satisfaction Rating for each product to give you a quick overview of how real users of Apache Hadoop and Zepto rate their experience with the service. Our system is built around complex analysis of product appearances on other sites, social media and blogs, so you are going to obtain a comprehensive and reliable landscape of what other customers think about each solution. In this example Apache Hadoop has a total satisfaction rating at 99% while for Zepto 94% of people claim they had a positive experience with it.
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