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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 Antimatter?

Customers increasingly seek transparency about where their data resides and who has access to it at every stage of the process. The challenge of duplicating infrastructure and redesigning applications to meet these demands can be both costly and daunting for development and DevOps teams. Nevertheless, it is possible to meet customer expectations through cryptographic solutions without the need to modify your current infrastructure or code. By providing clients with verifiable guarantees regarding data accessibility and the identities of those who can access it, trust is significantly bolstered. Antimatter works effectively beneath your existing containers and is compatible with all major cloud platforms, thus alleviating the burden of engineering modifications. It utilizes secure enclaves available in leading clouds to automatically encrypt customer data, whether it’s being transmitted, stored, or processed. This innovative approach enables you to effortlessly address customer requirements concerning data residency, governance, and tenancy. Consequently, you can accelerate sales, explore new markets, and close deals that were once out of reach. Our vision is for a future where both organizations and individuals have control over their data, no matter its location or the applications employed. In achieving this, the right to data control is established as a fundamental principle for all parties involved, empowering them to make informed decisions about their information.

Media

Media

Integrations Supported

Amazon Web Services (AWS)
Apache Hive
Apache Ranger
Apache Spark
Cloudera
Hadoop
Microsoft Azure
Microsoft Power BI
Tableau

Integrations Supported

API Availability

Has API

API Availability

Pricing Information

Contact PHEMI to learn about our value-based pricing.

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training

Training Options

Not specified

Company Facts

Organization Name

PHEMI Systems

Date Founded

2013

Company Location

Canada

Company Website

www.phemi.com

Company Facts

Organization Name

Antimatter

Date Founded

2020

Company Location

United States

Company Website

www.antimatter.io

Categories and Features

Big Data

Data Warehousing
High Volume Processing
Predictive Analytics

Data Governance

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

Data Lineage

Not specified

Data Management

Data Analysis
Data Integration
Data Security
Information Governance

Data Masking

Not specified

Data Privacy Management

Access Control
CCPA Compliance
Consent Management
Data Mapping
GDPR Compliance
Policy Management
Risk Management
Sensitive Data Identification

Data Security

Data Classification
Data Discovery
Data Masking
Data-Centric Security
Encryption
Identity / Access Management
Policy Management
Sensitive Data Compliance

Hybrid Cloud Storage

Not specified

Categories and Features

Data Security

Not specified

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