Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Apheris serves as a collaborative platform that allows organizations to work together on distributed data in a manner that is secure, private, and adheres to regulatory standards. By utilizing the Apheris Compute Gateway in conjunction with your data, machine learning and analytics processes occur directly at the data source, preventing any movement or direct accessibility of the data, thereby preserving its inherent value. This innovative methodology resolves common issues associated with data silos that arise from geographical, regulatory, or organizational constraints, as well as situations where data is too sensitive or expensive to transport. Unlike other methods such as synthetic data generation, encryption, or data clean rooms—which may compromise the validity of results, introduce risks of data breaches, or lack scalability—Apheris employs a federated approach to develop models across entire data cohorts without transferring any actual data. With a foundation built on governance, security, and privacy, Apheris guarantees compliance with regulations from the outset, enabling organizations to leverage their data assets more effectively. Ultimately, this unique strategy not only enhances data usability but also instills confidence among stakeholders regarding data protection and regulatory adherence.
Description
Google Cloud's Analytics Hub serves as a data exchange platform that empowers organizations to share data assets securely and efficiently beyond their internal boundaries, tackling issues related to data integrity and associated costs. Leveraging the robust scalability and adaptability of BigQuery, it enables users to create a comprehensive library encompassing both internal and external datasets, including distinctive data like Google Trends. The platform simplifies the publication, discovery, and subscription processes for data exchanges, eliminating the need for data transfers and enhancing the ease of access to data and analytical resources. Additionally, Analytics Hub ensures privacy-safe and secure data sharing through stringent governance practices, incorporating advanced security features and encryption protocols from BigQuery, Cloud IAM, and VPC Security Controls. By utilizing Analytics Hub, organizations can maximize the return on their data investment through effective data exchange strategies, while also fostering collaboration across different departments. Ultimately, this innovative platform enhances data-driven decision-making by providing seamless access to a wider array of data assets.
API Access
Has API
No
API Access
Has API
Yes
Integrations
5X
No
Databricks
No
Google Cloud BigQuery
No
Google Cloud Identity and Access Management (IAM)
No
Google Cloud Key Management
No
Google Cloud Platform
No
Google Earth Engine
No
Google Trends
No
Looker
No
Maropost Marketing Cloud
No
Integrations
5X
Yes
Databricks
Yes
Google Cloud BigQuery
Yes
Google Cloud Identity and Access Management (IAM)
Yes
Google Cloud Key Management
Yes
Google Cloud Platform
Yes
Google Earth Engine
Yes
Google Trends
Yes
Looker
Yes
Maropost Marketing Cloud
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
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
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)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
Apheris
Country
Germany
Website
www.apheris.com
Vendor Details
Company Name
Founded
1998
Country
United States
Website
cloud.google.com/analytics-hub
Product Features
Product Features
Big Data
Collaboration
No
Data Blends
No
Data Cleansing
No
Data Mining
No
Data Visualization
No
Data Warehousing
No
High Volume Processing
No
No-Code Sandbox
No
Predictive Analytics
No
Templates
No