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Description
ER/Studio is an enterprise data modeling and architecture solution that helps organizations structure, align, and govern data across complex, distributed environments, including data warehouses, lakehouses, data mesh frameworks, and data vault architectures. It bridges business intent and technical execution through integrated conceptual, logical, and physical modeling, enabling teams to move from strategy to implementation with clarity and control. The result is a consistent architectural foundation that supports analytics, AI initiatives, modernization, regulatory requirements, and operational systems.
Collaboration is built into the platform through a centralized, multi-user repository and the web-based Team Server portal. The repository manages version control, role-based permissions, and parallel development so teams can work concurrently while preserving model integrity and full audit history. Team Server extends visibility beyond architects, allowing business and technical stakeholders to review models, explore definitions, and contribute feedback through a browser interface.
ER/Studio reinforces governance by embedding standardized definitions, business glossaries, and data dictionaries directly within technical models. Impact analysis provides insight into downstream dependencies before changes are implemented, helping reduce risk and improve coordination. Integrations with Microsoft Purview and Collibra extend metadata into broader governance ecosystems, strengthening lineage tracking, documentation accuracy, and compliance oversight.
Available in Standard, Professional, and Enterprise editions, ER/Studio scales from focused modeling teams to enterprise-wide data architecture programs with advanced collaboration and governance requirements.
Description
Knowledge Catalog is a modern, AI-powered data catalog developed by Google Cloud to provide comprehensive governance and context for enterprise data. It works by automatically extracting meaning from structured and unstructured data, building a dynamic context graph that connects data assets. This allows organizations to discover, understand, and manage their data more effectively. The platform plays a critical role in improving AI accuracy by grounding models in reliable enterprise data, reducing hallucinations. It offers features such as data lineage tracking, data profiling, and quality measurement to ensure data reliability. Users can also create business glossaries and capture metadata to enhance data organization and accessibility. Knowledge Catalog supports integration with custom data sources and Google Cloud services, making it highly flexible. It enables both traditional analytics and advanced AI applications, including agent-based workflows. The platform also provides powerful search capabilities for locating data resources quickly. By centralizing data context and governance, it reduces operational complexity for data teams. Overall, Knowledge Catalog empowers organizations to build trusted, well-governed data environments.
API Access
Has API
API Access
Has API
Integrations
Google Cloud BigQuery
Amazon Redshift
Assembla
Azure Database for PostgreSQL
Azure SQL Database
Firebird
Gemini
Gemini Enterprise
Gemini Enterprise Agent Platform
Google Cloud Managed Service for Apache Spark
Integrations
Google Cloud BigQuery
Amazon Redshift
Assembla
Azure Database for PostgreSQL
Azure SQL Database
Firebird
Gemini
Gemini Enterprise
Gemini Enterprise Agent Platform
Google Cloud Managed Service for Apache Spark
Pricing Details
$2,687 per user
Free Trial
Free Version
Pricing Details
$0.060 per hour
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
ER/Studio
Founded
2004
Country
United States
Website
erstudio.com
Vendor Details
Company Name
Founded
1998
Country
United States
Website
docs.cloud.google.com/dataplex/docs
Product Features
Data Governance
Access Control
Data Discovery
Data Mapping
Data Profiling
Deletion Management
Email Management
Policy Management
Process Management
Roles Management
Storage Management
Enterprise Architecture
Application Portfolio Management
Architecture Governance
Capability Mapping
Diagramming
Idea Management
Modeling & Simulation
Project Management
Risk Assessment
Transformation Roadmapping
Version Control
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
