What is better Apache Hadoop or BigID? When selecting the right Data Analytics Software for your business it is suggested that you evaluate the features, prices, along with other essential info about the product and vendor. Here, you are able to see the similarities and disparities between Apache Hadoop (overall score at 9.8 and user satisfaction at 99%) and BigID (overall score at 8.7 and user satisfaction at 97%).
You may also check out their unique details, such as tools, plans, rates, terms, etc. Moreover, analyze the terms thoroughly for information on hidden costs, like, setup cost, separate support plan, upgrade fees, cloud storage fees, and others.
Right now, the most significant solutions 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.
Deploying BigID is easy as it integrates with popular business apps and cloud-based software. Integrations include:
Office 360
Zendesk
Slack
Salesforce
Gmail
Workday
Sharepoint
Netsuite
Languages Supported
English
Chinese
German
Hindi
Japanese
Spanish
French
Russian
Italian
Dutch
Portugese
Polish
Turkish
Swedish
Arabic
Prominent Clients
American Airlines, American Express, The Home Depot
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 modern data intelligence platform that enables enterprises to discover, manage, and protect data critical to their business. Powered by machine learning, the software allows for more efficient, consistent, and scalable data governance across any data in the cloud or data centers. It makes it possible for companies to know their data and take action for protection, privacy, and perspective.
Almost as essential as features and user support level are pricing packages offered by Apache Hadoop and BigID. Although cost should not be the sole aspect it’s surely an important thing to consider. You should expect a flexible pricing package that can be matched with your company size and effortlessly scaled up if your business grows. Make sure you don’t select packages that have extra tools that you won’t find useful and always make an effort to contact with the vendor directly as big companies can often count on discounts. You should also check out a free trial or demo of each product to spend at least some time working with it. It’s a valuable experience that doesn’t require you to pay any money and provides you with a reliable overview of what it’s like to work with Apache Hadoop and BigID.
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