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What is Roseman Labs?

Roseman Labs enables the encryption and integration of various data sets while safeguarding privacy and commercial confidentiality. This capability empowers you to merge data from different sources, conduct analyses, and extract valuable insights necessary for process optimization. By harnessing the potential of your data, you can unlock new opportunities for growth. With Roseman Labs, the ease of Python enhances the encryption process, making it accessible. Safeguarding sensitive data allows for insightful analysis while ensuring compliance with privacy laws like GDPR. Enhanced compliance not only protects sensitive commercial and personal information but also facilitates the generation of meaningful insights. The cutting-edge encryption methods provided ensure robust data privacy. Roseman Labs allows for the seamless linking of data sets from various contributors, enabling the identification of overlapping records across multiple sources. This integration fosters the emergence of new insights and patterns that would otherwise remain hidden in standalone data sets. Ultimately, this innovative approach transforms data analytics into a more secure and effective process.

What is Datastreams?

The Datastreams Platform is an innovative solution designed to simplify the processes of capturing, sharing, and managing data within organizations and among various entities. From the initial stage of data collection to the establishment of a dependable and tailored perspective on that information, our Platform supports users throughout their entire journey. With its state-of-the-art streaming technology, high performance, and proprietary data acquisition capabilities, the process is efficient and user-friendly; our dedication to privacy by design further ensures that data collaboration is readily available for all users. Essentially, the Platform features the Data Operations Unit, referred to as the Datastreams Operator, which can be tailored with different modules to meet unique requirements, such as executing data quality assessments on web or mobile applications, or compliant segmentation of target demographics. Emphasizing the enhancement of both IT and business adaptability, users can launch data collaboration initiatives in just a few days by seamlessly connecting to diverse data sources, thereby facilitating a swift and effective commencement of their data-driven projects. Moreover, the flexibility of the Platform allows for ongoing adjustments and improvements as organizational needs evolve, making it a valuable asset for any data-centric enterprise.

Media

Media

Integrations Supported

Python
TRACK Platform

Integrations Supported

Python
TRACK Platform

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Roseman Labs

Date Founded

2020

Company Location

Netherlands

Company Website

rosemanlabs.com/en/product

Company Facts

Organization Name

Datastreams.io

Date Founded

2015

Company Location

United Kingdom

Company Website

www.datastreams.io

Categories and Features

Data Privacy Management

Access Control
CCPA Compliance
Consent Management
Data Mapping
GDPR Compliance
Incident Management
PIA / DPIA
Policy Management
Risk Management
Sensitive Data Identification

Data Security

Alerts / Notifications
Antivirus/Malware Detection
At-Risk Analysis
Audits
Data Center Security
Data Classification
Data Discovery
Data Loss Prevention
Data Masking
Data-Centric Security
Database Security
Encryption
Identity / Access Management
Logging / Reporting
Mobile Data Security
Monitor Abnormalities
Policy Management
Secure Data Transport
Sensitive Data Compliance

Encryption

Central Policy Enforcement
Drag & Drop UI
Email Encryption
Encryption Key Management
Endpoint Encryption
File Compression
File Encryption
Full Disk Encryption
Public Key Cryptography
Tokenization / Data Masking

Categories and Features

Consent Management Platforms

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

Data Governance

Access Control
Data Discovery
Data Mapping
Data Profiling
Deletion Management
Email Management
Policy Management
Process Management
Roles Management
Storage Management

Data Privacy Management

Access Control
CCPA Compliance
Consent Management
Data Mapping
GDPR Compliance
Incident Management
PIA / DPIA
Policy Management
Risk Management
Sensitive Data Identification

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