DatastreamsDatastreams.io
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About
The Datastreams Platform is our state-of-the-art solution to simplify the process of capturing, sharing and managing data within and between organizations.
From the initial step of collecting the right data towards getting a trusted personalized data view, our Platform facilitates the journey. Fast through optimized streaming technology, simple due to its patented data capturing capabilities and secured per our privacy by design principles, data collaboration is now available for everyone!
The Platform is built upon a core Data Operations Unit (Datastreams Operator) that can be extended with different modules to fulfill specific data and business requirements like data quality checks on your web/mobile platforms or defining and segmenting specific target groups in a compliant way.
Designed with IT & business agility in mind, it takes just a couple of days to start data collaborating with connections to data sources.
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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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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
Companies that want to manage user privacy and data
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Audience
Data engineers, data architects, data scientists, data testers, CIOs and business leaders
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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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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
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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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationDatastreams.io
Founded: 2015
United Kingdom
www.datastreams.io
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Company InformationK2View
Founded: 2009
United States
k2view.com
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Categories |
Categories |
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Data Governance Features
Access Control
Data Discovery
Data Mapping
Data Profiling
Deletion Management
Email Management
Policy Management
Process Management
Roles Management
Storage Management
Data Privacy Management Features
Access Control
CCPA Compliance
Consent Management
Data Mapping
GDPR Compliance
Incident Management
PIA / DPIA
Policy Management
Risk Management
Sensitive Data Identification
Consent Management Platforms Features
Additional Users / Permissions
Automatic Cookie-Blocking
CCPA Compliance
CMS Integration
Cookie Crawling
Design/Branding Customization
Fingerprinting
GDPR Compliance
IAB Compliance
Reporting / Analytics
Responsive Design
Subdomains Compatibility
Tag Manager Integration
Whitelabel Solution
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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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