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Ratings and Reviews 0 Ratings
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What is Google Cloud Dataplex?
Google Cloud's Dataplex acts as a sophisticated data fabric that enables businesses to efficiently discover, oversee, monitor, and govern their data across multiple platforms such as data lakes, warehouses, and marts, all while ensuring consistent controls that guarantee access to trustworthy data and support extensive analytics and AI projects. By providing a unified interface for managing data, Dataplex simplifies tasks such as data discovery, classification, and metadata enhancement for a range of data types, including structured, semi-structured, and unstructured data located both within Google Cloud and in external settings. It logically organizes data into business-relevant domains via lakes and data zones, thus facilitating easier data curation, tiering, and archiving processes. The platform's centralized security and governance capabilities allow for effective management of policies, comprehensive monitoring, and detailed auditing across disparate data silos, fostering a sense of distributed data ownership while ensuring overarching control. In addition, Dataplex features automated assessments of data quality and lineage tracking, which bolster the trustworthiness and traceability of data, assuring organizations of the reliability of their data-driven choices. By merging these features, Dataplex not only simplifies the intricacies of data management but also fosters improved collaboration among teams dedicated to analytics and AI, ultimately driving innovation and efficiency. This comprehensive approach equips organizations to harness their data assets more effectively in a rapidly evolving digital landscape.
What is DEMS?
The Data Excellence Management System (DEMS) is a comprehensive web-based solution available in multiple languages, either hosted on-premises or in the cloud, that leverages semantic context intelligence and AI methodologies to streamline data governance and enhance business performance. By implementing DEMS, organizations can significantly lower their operational expenses while fostering a culture of fact-based, value-centric collaboration that involves users at every level in the pursuit of maximum value creation. Additionally, this system aids in the management of data policies, ensuring adherence to changing regulations such as FINMA and GDPR. Furthermore, DEMS serves as a benchmark for assessing the maturity of an organization's operational capabilities and resources, establishing clear accountability throughout the hierarchy. It also connects data assets with value streams to proactively inform and shape business strategies aimed at sustained growth. Ultimately, DEMS empowers organizations to navigate the complexities of data management while driving innovation and efficiency.
Integrations Supported
Gemini
Google Cloud BigQuery
Google Cloud Dataflow
Google Cloud Dataproc
Google Cloud Platform
Vertex AI
Integrations Supported
Gemini
Google Cloud BigQuery
Google Cloud Dataflow
Google Cloud Dataproc
Google Cloud Platform
Vertex AI
API Availability
Has API
API Availability
Has API
Pricing Information
$0.060 per hour
Free Trial Offered?
Free Version
Pricing Information
75000/per domain/per year
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
Date Founded
1998
Company Location
United States
Company Website
cloud.google.com/dataplex
Company Facts
Organization Name
Global Data Excellence
Date Founded
2007
Company Location
Switzerland
Company Website
www.globaldataexcellence.com
Categories and Features
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
Categories and Features
Data Governance
Access Control
Data Discovery
Data Mapping
Data Profiling
Deletion Management
Email Management
Policy Management
Process Management
Roles Management
Storage Management