Related Products
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About
At K2View, we believe that every enterprise should be able to leverage its data to become as disruptive and agile as the best companies in its industry.
We make this possible through our patented Data Product Platform, which creates and manages a complete and compliant dataset for every business entity – on demand, and in real time. The dataset is always in sync with its underlying sources, adapts to changes in the source structures, and is instantly accessible to any authorized data consumer.
Data Product Platform fuels many operational use cases, including customer 360, data masking and tokenization, test data management, data migration, legacy application modernization, data pipelining and more – to deliver business outcomes in less than half the time, and at half the cost, of any other alternative.
The platform inherently supports modern data architectures – data mesh, data fabric, and data hub – and deploys in cloud, on-premise, or hybrid environments.
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About
The growing security threats and ever-expanding privacy regulations have made it necessary to limit exposure of sensitive data. Oracle Data Masking and Subsetting helps database customers improve security, accelerate compliance, and reduce IT costs by sanitizing copies of production data for testing, development, and other activities and by easily discarding unnecessary data. Oracle Data Masking and Subsetting enables entire copies or subsets of application data to be extracted from the database, obfuscated, and shared with partners inside and outside of the business. The integrity of the database is preserved assuring the continuity of the applications. Application Data Modeling automatically discovers columns from Oracle Database tables containing sensitive information based on built-in discovery patterns such as national identifiers, credit card numbers, and other personally identifiable information. It also automatically discovers parent-child relationships defined in the database.
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About
Oracle Database@AWS enables customers to migrate Oracle Databases, including Oracle Exadata workloads, to Oracle Exadata Database Service on Dedicated Infrastructure or Oracle Autonomous Database on Dedicated Exadata Infrastructure within AWS. This migration requires minimal to no database or application changes while maintaining full feature and architecture compatibility, performance, and availability. Customers can establish low-latency connections between Oracle Database@AWS and applications deployed in AWS, including on Amazon Elastic Compute Cloud (Amazon EC2). Oracle Database@AWS integrates directly with AWS Analytics services through zero-ETL to unify data across Oracle and AWS, enabling analytics and machine learning. Further, integration with AWS generative AI services is supported to accelerate innovation. It offers a unified experience for collaborative purchasing, management, operations, and support.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
Data engineers, data architects, data scientists, data testers, CIOs and business leaders
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Audience
Organizations that need a flexible solution that discovers, masks and subsets sensitive data to safely share across non-production environments
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Audience
IT teams seeking a tool to migrate and modernize Oracle workloads in the cloud
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Free Trial
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Pricing
$230 one-time payment
Free Version
Free Trial
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Pricing
No information available.
Free Version
Free Trial
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Reviews/
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationK2View
Founded: 2009
United States
k2view.com
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Company InformationOracle
Founded: 1977
United States
www.oracle.com/database/technologies/security/data-masking-subsetting.html
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Company InformationAmazon
Founded: 1994
United States
aws.amazon.com/marketplace/featured-seller/oracle/
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Categories |
Categories |
Categories |
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Data Fabric Features
Data Access Management
Data Analytics
Data Collaboration
Data Lineage Tools
Data Networking / Connecting
Metadata Functionality
No Data Redundancy
Persistent Data Management
Data Management Features
Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge
Integration Features
Dashboard
ETL - Extract / Transform / Load
Metadata Management
Multiple Data Sources
Web Services
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Integrations
AWS IoT Analytics
Amazon EC2
Amazon Web Services (AWS)
Azure Marketplace
IBM Db2
IBM Informix
MySQL
Oracle Autonomous Database
Oracle Database
Oracle E-Business Suite
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Integrations
AWS IoT Analytics
Amazon EC2
Amazon Web Services (AWS)
Azure Marketplace
IBM Db2
IBM Informix
MySQL
Oracle Autonomous Database
Oracle Database
Oracle E-Business Suite
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Integrations
AWS IoT Analytics
Amazon EC2
Amazon Web Services (AWS)
Azure Marketplace
IBM Db2
IBM Informix
MySQL
Oracle Autonomous Database
Oracle Database
Oracle E-Business Suite
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