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Description
Protecting your personal information is crucial, and it’s essential to create data that appears genuine for software development purposes. To achieve this, DOT Anonymizer provides a solution that effectively masks your testing data while maintaining its consistency across various data sources and database management systems. The risk of data breaches arises significantly when using personal or identifiable information in non-production environments such as development, testing, training, and business intelligence. With the growing number of regulations worldwide, organizations are increasingly required to anonymize or pseudonymize sensitive information. This process allows you to keep the original format of the data while your teams can operate with believable yet fictional datasets. It is vital to manage all your data sources effectively to ensure their continued utility. You can easily invoke DOT Anonymizer functions directly from your applications, ensuring consistent anonymization across all database management systems and platforms. Additionally, it’s important to maintain relationships between tables to guarantee that the data remains realistic. The tool is capable of anonymizing a variety of database types and file formats, including CSV, XML, JSON, and more. As the demand for data protection grows, utilizing a solution like DOT Anonymizer becomes increasingly essential for maintaining the integrity and confidentiality of your data.
Description
Unlike most data management systems, PHEMI Health DataLab is built with Privacy-by-Design principles, not as an add-on. This means privacy and data governance are built-in from the ground up, providing you with distinct advantages:
Lets analysts work with data without breaching privacy guidelines
Includes a comprehensive, extensible library of de-identification algorithms to hide, mask, truncate, group, and anonymize data.
Creates dataset-specific or system-wide pseudonyms enabling linking and sharing of data without risking data leakage.
Collects audit logs concerning not only what changes were made to the PHEMI system, but also data access patterns.
Automatically generates human and machine-readable de- identification reports to meet your enterprise governance risk and compliance guidelines.
Rather than a policy per data access point, PHEMI gives you the advantage of one central policy for all access patterns, whether Spark, ODBC, REST, export, and more
API Access
Has API
Yes
API Access
Has API
Yes
Integrations
Amazon Web Services (AWS)
No
Apache Ranger
No
Apache Spark
No
Azure Cosmos DB
Yes
Couchbase
Yes
Elasticsearch
Yes
H2
Yes
Hadoop
No
IBM Db2
Yes
IBM Informix
Yes
Integrations
Amazon Web Services (AWS)
Yes
Apache Ranger
Yes
Apache Spark
Yes
Azure Cosmos DB
No
Couchbase
No
Elasticsearch
No
H2
No
Hadoop
Yes
IBM Db2
No
IBM Informix
No
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Pricing Details
Contact PHEMI to learn about our value-based pricing.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
DOT Anonymizer
Country
United States
Website
www.acadsoftware.com/dot/
Vendor Details
Company Name
PHEMI Systems
Founded
2013
Country
Canada
Website
www.phemi.com
Product Features
Product Features
Big Data
Collaboration
No
Data Blends
No
Data Cleansing
No
Data Mining
No
Data Visualization
No
Data Warehousing
Yes
High Volume Processing
Yes
No-Code Sandbox
No
Predictive Analytics
Yes
Templates
No
Data Governance
Access Control
Yes
Data Discovery
Yes
Data Mapping
Yes
Data Profiling
Yes
Deletion Management
No
Email Management
No
Policy Management
Yes
Process Management
Yes
Roles Management
Yes
Storage Management
Yes
Data Lineage
Database Change Impact Analysis
No
Filter Lineage Links
No
Implicit Connection Discovery
No
Lineage Object Filtering
No
Object Lineage Tracing
No
Point-in-Time Visibility
No
User/Client/Target Connection Visibility
No
Visual & Text Lineage View
No
Data Management
Customer Data
No
Data Analysis
Yes
Data Capture
No
Data Integration
Yes
Data Migration
No
Data Quality Control
No
Data Security
Yes
Information Governance
Yes
Master Data Management
No
Match & Merge
No
Data Privacy Management
Access Control
Yes
CCPA Compliance
Yes
Consent Management
Yes
Data Mapping
Yes
GDPR Compliance
Yes
Incident Management
No
PIA / DPIA
No
Policy Management
Yes
Risk Management
Yes
Sensitive Data Identification
Yes
Data Security
Alerts / Notifications
No
Antivirus/Malware Detection
No
At-Risk Analysis
No
Audits
No
Data Center Security
No
Data Classification
Yes
Data Discovery
Yes
Data Loss Prevention
No
Data Masking
Yes
Data-Centric Security
Yes
Database Security
No
Encryption
Yes
Identity / Access Management
Yes
Logging / Reporting
No
Mobile Data Security
No
Monitor Abnormalities
No
Policy Management
Yes
Secure Data Transport
No
Sensitive Data Compliance
Yes