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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 Oasis Parcel?

Develop a more dependable product by implementing cutting-edge data security and governance solutions. The privacy-focused data governance SDK is designed to facilitate the use of your essential data while ensuring that it remains secure and confidential. Accompanying the Parcel SDK is a preconfigured dispatcher that allows for the rapid creation of a secure environment for computations that focus on privacy. Utilizing advanced secure-enclave technology, your data is safeguarded and kept confidential throughout its entire lifecycle. Whether you're developing web applications or managing infrastructure stacks, the Parcel SDK integrates effortlessly with a broad range of services and technologies. With support for Typescript, the Parcel SDK can be easily woven into your development workflows, eliminating the complexities of unfamiliar programming languages or systems. Additionally, supported by a decentralized ledger, Parcel provides an immutable record of all actions taken, enabling you to ensure that your data is used in a compliant and responsible manner, thereby building greater trust in your product. This forward-thinking strategy not only enhances data protection but also encourages organizations to effectively balance functionality with privacy in their data management efforts. In doing so, it paves the way for a more robust and trustworthy digital landscape.

Media

Media

Integrations Supported

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

Integrations Supported

Google Cloud Confidential VMs
InfStones
Second State

API Availability

Has API

API Availability

Has API

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

Documentation Hub
Online Training

Company Facts

Organization Name

PHEMI Systems

Date Founded

2013

Company Location

Canada

Company Website

www.phemi.com

Company Facts

Organization Name

Oasis Labs

Date Founded

2018

Company Location

United States

Company Website

www.oasislabs.com

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 Governance

Not specified

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