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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Google Cloud's Dataplex serves as an advanced data fabric that empowers organizations to efficiently discover, manage, monitor, and govern their data across various platforms, including data lakes, warehouses, and marts, while maintaining uniform controls that ensure access to reliable data and facilitate large-scale analytics and AI initiatives. By offering a cohesive interface for data management, Dataplex streamlines processes like data discovery, classification, and metadata enhancement for diverse data types, whether structured, semi-structured, or unstructured, both within Google Cloud and external environments. It organizes data logically into business-relevant domains through lakes and data zones, making data curation, tiering, and archiving more straightforward. With its centralized security and governance features, Dataplex supports effective policy management, robust monitoring, and thorough auditing across fragmented data silos, thereby promoting distributed data ownership while ensuring global oversight. Furthermore, the platform includes automated data quality assessments and lineage tracking, which enhance the reliability and traceability of data, ensuring organizations can trust their data-driven decisions. By integrating these functionalities, Dataplex not only simplifies data management but also enhances collaboration within teams focused on analytics and AI.

Description

MetaCenter allows both business and technology departments to systematically organize and categorize the information resources of an organization. Through this platform, users can independently inquire about their data assets and understand the movement of data within the business, as well as determine the appropriate usage classifications. This capability helps organizations minimize expenses while enhancing flexibility and mitigating operational risks. The search-based semantic layer facilitates the automatic cross-referencing of models. Additionally, tailored Faceted Views for specific data assets can be made accessible to distinct roles within the organization. The lower total cost of ownership combined with increased automation results in a superior return on investment when compared to rival solutions. Moreover, the intuitive, GUI-driven customization allows for quick application adaptations without the need for programming expertise or professional services, making it highly user-friendly. Ultimately, this empowers teams to respond swiftly to changing business needs and enhances overall productivity.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Gemini
Google Cloud BigQuery
Google Cloud Dataflow
Google Cloud Dataproc
Google Cloud Platform
Vertex AI

Integrations

Gemini
Google Cloud BigQuery
Google Cloud Dataflow
Google Cloud Dataproc
Google Cloud Platform
Vertex AI

Pricing Details

$0.060 per hour
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

Google

Founded

1998

Country

United States

Website

cloud.google.com/dataplex

Vendor Details

Company Name

Data Advantage Group

Website

www.dag.com/metacenter

Product 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

Alternatives

Alternatives

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