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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 Immuta?

Immuta's Data Access Platform is designed to provide data teams with both secure and efficient access to their data. Organizations are increasingly facing intricate data policies due to the ever-evolving landscape of regulations surrounding data management. Immuta enhances the capabilities of data teams by automating the identification and categorization of both new and existing datasets, which accelerates the realization of value; it also orchestrates the application of data policies through Policy-as-Code (PaC), data masking, and Privacy Enhancing Technologies (PETs) so that both technical and business stakeholders can manage and protect data effectively; additionally, it enables the automated monitoring and auditing of user actions and policy compliance to ensure verifiable adherence to regulations. The platform seamlessly integrates with leading cloud data solutions like Snowflake, Databricks, Starburst, Trino, Amazon Redshift, Google BigQuery, and Azure Synapse. Our platform ensures that data access is secured transparently without compromising performance levels. With Immuta, data teams can significantly enhance their data access speed by up to 100 times, reduce the number of necessary policies by 75 times, and meet compliance objectives reliably, all while fostering a culture of data stewardship and security within their organizations.

Media

Media

Integrations Supported

Apache Hive
Cloudera
Apache Ranger
Apache Spark

Integrations Supported

Apache Hive
Cloudera
Amazon Athena
Amazon EMR
Azure Blob Storage
Azure Data Lake
Azure Synapse Analytics
DataOps.live
Databricks
Google Cloud Managed Service for Apache Spark
Google Cloud Storage
Meltano
MongoDB
Oracle Cloud CX
SAP HANA
Snowflake
Starburst Enterprise
Teradata VantageCloud

API Availability

Has API

API Availability

Has API

Pricing Information

Contact PHEMI to learn about our value-based pricing.

Pricing Information

Consumption based or enterprise subscription.
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online 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

Immuta

Date Founded

2015

Company Location

United States

Company Website

immuta.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

Big Data

Collaboration
High Volume Processing
No-Code Sandbox
Predictive Analytics

Cloud Security

Encryption

Cloud Workload Protection

Data Security
Governance
Logging & Reporting

Data Governance

Access Control
Data Discovery
Data Mapping
Data Profiling
Policy Management

Data Lineage

Not specified

Data Management

Not specified

Data Masking

Not specified

Data Privacy Management

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

Data Quality

Data Discovery
Data Profililng
Metadata Management

Data Security

Alerts / Notifications
Data Classification
Data Discovery
Data Masking
Database Security
Encryption
Logging / Reporting
Policy Management
Sensitive Data Compliance

Data Visualization

Analytics
Dashboard Creation
Visual Discovery

Database Security

Not specified

Encryption

Central Policy Enforcement
Drag & Drop UI
Tokenization / Data Masking

GDPR Compliance

Access Control
Consent Management
Data Mapping
Policy Management
Risk Management
Sensitive Data Identification

HIPAA Compliance

Access Control / Permissions
Audit Management
Compliance Reporting
Data Security

Machine Learning

Deep Learning
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Visualization

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