Apache Hadoop
Pricing Model
Pricing Model
Free
Monthly payment
One-time payment
Annual Subscription
Quote-based
List of Features
List of Features
- Data classification
- Asset inventory
- Catalog
- PI inventory
- PIA automation
- Privacy automation
- RoPA mapping
- DSAR automation
- Breach Data Investigation
- Risk management
- Compliance
- Metadata Catalog
Pricing Info
Pricing Info
BigID pricing is by quotation. You can ask for a package based on the initiative, industry, or regulation.
Integrations
Integrations
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
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.
Company Email
info@bigid.com
Contact No.
Company's Address
641 Avenue of the Americas, 5th FL
New York, NY 10011
USA
BigID Comparisons
Popular BigID Alternatives
Pricing Model
Free
Monthly payment
One-time payment
Annual Subscription
Quote-based
List of Features
- Distributed Processing of Large Data Sets
- Eliminates Reliance on Hardware to Deliver High-Availability
- Scalability
- Can Scale Up From Single Servers to Thousands of Machines
- Reliable Distributed File Systems
- Divides Large Data Files into Sequential Blocks
- Distributes Blocks of Files Across Clusters
- Fault-Tolerance Capability that Replicates Blocks of Files
- Map/Reduce Distributed Parallel Computing Framework
- Utilizes the Cluster Management and Job Scheduling Features of Apache YARN
- Master/Slave Architecture
- Re-Distribution and Re-Execution of Computation Operations/Tasks
Pricing Info
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.
Integrations
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
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.
Company Email
apache@apache.org
Contact No.
Company's Address
The Apache Software Foundation
401 Edgewater Place, Suite 600
Wakefield, MA 01880
U.S.A.
Apache Hadoop Comparisons
Popular Apache Hadoop Alternatives
In the event you continue having doubts about which software will perform best in your case it may be a good idea to examine each service’s social metrics. Such metrics are quite often an indicator of how popular a given service is and how big is its online presence.For example, if you check BigID LinkedIn page you’ll find out that they are followed by 40981 users. In case of Apache Hadoop the number of followers on their LinkedIn page is 21520.
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