What is better Mode or Apache Hadoop? A great way to find the correct Data Analytics Software product for your organization is to match the solutions against each other. Here you can compare Mode and Apache Hadoop and see their functions compared thoroughly to help you pick which one is the more effective product.
Also, you can review their overall ratings, including: overall score (Mode: 9.0 vs. Apache Hadoop: 9.8) and user satisfaction (Mode: 92% vs. Apache Hadoop: 99%). Browse through their differences and similarities and find out which one outperforms the other. Moreover, think about what your business will be in years to come; will your business outgrow the app in the next couple of years?
Those of you who don't have much time or need a Data Analytics Software recommendation from our team might want to try out these top choices for the current year: Apache Spark, IBM Business Analytics, Apache Hadoop.
Mode provides quote-based SMB and enterprise pricing packages for users to choose from. Kindly contact the vendor for the price, a demo, or a free trial.
Studio – Contact vendor
A plan ideal for individual analysts in need of basic data analytics tools.
Mode is a collaborative analytics software that provides critical insights through interactive charts and customizable reports and dashboards. The solution helps users foster a more data-driven approach to improving their processes and overall operations.
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 analysis were collected from official vendor websites, promotional materials available online, actual experience from real users as well as our own hands-on use of every service by a professional reviewer. We put a lot of effort to comprehensively study each product, as a result we not only analyze it on our own, but we also compare our results with opinions of other members from the B2B community.
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