What is better Apache Hadoop or Ortto? If you wish to get a quick way to decide which Data Analytics Software product is better, our proprietary algorythm gives Apache Hadoop a score of 9.8 and Ortto a score of 8.7 for total quality and performance. Moreover, Apache Hadoop is rated at 99%, while Ortto is rated 97% for their user satisfaction level.
You can also compare their product details, including features, tools, options, plans, pricing, and much more. Check if the application can customize some of its processes to guarantee the app complements your own business processes.
At this time, the leading services in our Data Analytics Software category are: IBM Business Analytics, Apache Spark, 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.
Ortto integrates with a wide variety of third-party software for finance, sales, customer support, and ecommerce, among others. Below are some of these integrations:
Shopify
Facebook
Pipedrive
Stripe
Zapier
WooCommerce
Zendesk
Google Ads
Gorgias
Languages Supported
English
Chinese
German
Hindi
Japanese
Spanish
French
Russian
Italian
Dutch
Portugese
Polish
Turkish
Swedish
Arabic
Prominent Clients
Bitly, Vodafone, Microsoft
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
Designed to collect customer data into a single platform to provide a complete view of each customer. This unified data also makes it easier for marketers to create dynamic audience segments and hyper-personalized marketing messages. Pre-made and customized marketing reports and dashboards also allow teams to accurately track campaign performance.
If you continue having second thoughts about which solution will work best for your company it might be a sound idea to examine each service’s social metrics. These metrics are usually a sign of how popular a given product is and how big is its online presence.For example, if you analyze Apache Hadoop LinkedIn page you’ll see that they are followed by 21520 users. In case of Ortto the number of followers on their LinkedIn page is 5320.
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