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Ratings and Reviews 0 Ratings
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What is PHEMI Health DataLab?
In contrast to many conventional data management systems, PHEMI Health DataLab is designed with Privacy-by-Design principles integral to its foundation, rather than as an additional feature. This foundational approach offers significant benefits, including:
It allows analysts to engage with data while adhering to strict privacy standards.
It incorporates a vast and adaptable library of de-identification techniques that can conceal, mask, truncate, group, and anonymize data effectively.
It facilitates the creation of both dataset-specific and system-wide pseudonyms, enabling the linking and sharing of information without the risk of data leaks.
It gathers audit logs that detail not only modifications made to the PHEMI system but also patterns of data access.
It automatically produces de-identification reports that are accessible to both humans and machines, ensuring compliance with enterprise governance risk management.
Instead of having individual policies for each data access point, PHEMI provides the benefit of a unified policy that governs all access methods, including Spark, ODBC, REST, exports, and beyond, streamlining data governance in a comprehensive manner. This integrated approach not only enhances privacy protection but also fosters a culture of trust and accountability within the organization.
What is DOT Anonymizer?
Safeguarding your personal information is of utmost importance, and generating data that seems authentic for software development is equally essential. DOT Anonymizer offers an effective solution that not only masks your testing data but also preserves its consistency across different data sources and database management systems. The likelihood of data breaches increases significantly when personal or identifiable information is utilized in non-production settings such as development, testing, training, and business intelligence. With a rise in regulations globally, organizations find themselves under greater pressure to anonymize or pseudonymize sensitive information. This strategy enables teams to work with believable yet fictitious datasets while retaining the original format of the data. It is critical to manage all of your data sources effectively to ensure their ongoing usability. Furthermore, you can seamlessly call DOT Anonymizer functions directly from your applications, ensuring uniform anonymization across all database management systems and platforms. Maintaining relationships between tables is also essential to ensure that the data remains realistic and coherent. The tool is adept at anonymizing various database types and file formats, such as CSV, XML, JSON, and others. As the need for data protection escalates, employing a solution like DOT Anonymizer becomes increasingly vital for preserving the integrity and confidentiality of your sensitive information. In a world where data privacy is paramount, leveraging such tools is not just beneficial but necessary for any organization committed to protecting its data assets.
Integrations Supported
Amazon Web Services (AWS)
Apache Hive
Apache Ranger
Apache Spark
Azure Cosmos DB
Cloudera
Couchbase
Elasticsearch
H2
IBM Db2
Integrations Supported
Amazon Web Services (AWS)
Apache Hive
Apache Ranger
Apache Spark
Azure Cosmos DB
Cloudera
Couchbase
Elasticsearch
H2
IBM Db2
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
€488 per month
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
PHEMI Systems
Date Founded
2013
Company Location
Canada
Company Website
www.phemi.com
Company Facts
Organization Name
DOT Anonymizer
Company Location
United States
Company Website
www.dot-anonymizer.com/data-masking/dot-anonymizer/
Categories and Features
Big Data
Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates
Data Governance
Access Control
Data Discovery
Data Mapping
Data Profiling
Deletion Management
Email Management
Policy Management
Process Management
Roles Management
Storage Management
Data Lineage
Database Change Impact Analysis
Filter Lineage Links
Implicit Connection Discovery
Lineage Object Filtering
Object Lineage Tracing
Point-in-Time Visibility
User/Client/Target Connection Visibility
Visual & Text Lineage View
Data Management
Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge
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