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Description
Create a more reliable product utilizing state-of-the-art data security and governance solutions. The privacy-centric data governance SDK is crafted to enable the use of your most critical data while ensuring it remains both secure and confidential. Included with the Parcel SDK is a preconfigured dispatcher that facilitates the quick establishment of an isolated environment for computations that prioritize privacy. Leveraging advanced secure-enclave technology, your data stays protected and confidential throughout its entire lifecycle. Whether you’re working on web applications or infrastructure stacks, the Parcel SDK seamlessly integrates with a wide variety of services and technologies. Supporting Typescript, the Parcel SDK can be effortlessly incorporated into your development processes, eliminating the need for unfamiliar languages or complex systems. Moreover, backed by a decentralized ledger, Parcel guarantees an unalterable record of all actions, allowing you to verify that your data is utilized in a compliant and responsible manner, ultimately fostering greater trust in your product. This innovative approach empowers organizations to prioritize both functionality and privacy in their data management strategies.
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
API Access
Has API
Integrations
Amazon Web Services (AWS)
Apache Hive
Apache Ranger
Apache Spark
Cloudera
Google Cloud Confidential VMs
Hadoop
InfStones
Microsoft Azure
Microsoft Power BI
Integrations
Amazon Web Services (AWS)
Apache Hive
Apache Ranger
Apache Spark
Cloudera
Google Cloud Confidential VMs
Hadoop
InfStones
Microsoft Azure
Microsoft Power BI
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Oasis Labs
Founded
2018
Country
United States
Website
www.oasislabs.com
Vendor Details
Company Name
PHEMI Systems
Founded
2013
Country
Canada
Website
www.phemi.com
Product Features
Data Governance
Access Control
Data Discovery
Data Mapping
Data Profiling
Deletion Management
Email Management
Policy Management
Process Management
Roles Management
Storage Management
Product 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
