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What is Progress Semaphore?

Semaphore is an enterprise-grade semantic AI platform designed to unlock the hidden value of organizational data. It provides advanced metadata management that adds context and meaning to structured and unstructured information. The platform builds a semantic layer that connects data across systems, applications, and repositories. Semaphore helps organizations understand their data by resolving vocabulary gaps and reducing ambiguity. Knowledge modeling tools align business concepts and relationships with how the organization actually operates. Automated classification and information extraction support data-driven decision-making. The platform enhances trust by improving data quality and consistency at scale. Semaphore enables more accurate analytics and trustworthy generative AI outcomes. Its enterprise-scalable design supports growing data volumes and evolving business needs. User-friendly tools make adoption accessible for both technical and business users. Continuous feature updates ensure long-term value and innovation. Semaphore turns enterprise knowledge into actionable intelligence that drives growth and operational efficiency.

What is Google Cloud Knowledge Catalog?

Knowledge Catalog is an advanced AI-powered data catalog solution from Google Cloud that enables organizations to manage, govern, and understand their entire data landscape. It automatically extracts semantic meaning from both structured and unstructured data to create a dynamic context graph that connects and enriches data assets. This context graph helps AI systems and users access accurate, relevant information, reducing the risk of hallucinations in AI-driven applications. The platform provides robust tools for data discovery, allowing users to search, explore, and analyze data resources efficiently. It includes features such as data lineage tracking, data profiling, and quality measurement to ensure data accuracy and reliability. Users can create and manage business glossaries, capture metadata, and integrate custom data sources to enhance data organization. Knowledge Catalog supports both traditional analytics workflows and modern AI-driven use cases, including autonomous agents. It integrates seamlessly with Google Cloud services, enabling scalable and flexible deployments. The platform also offers advanced search and filtering capabilities for faster data access. By centralizing governance and context, it simplifies data management for enterprises. It helps enforce policies and maintain compliance through structured access controls. The system also provides insights into data relationships, improving decision-making. Overall, Knowledge Catalog transforms enterprise data into a well-organized, trusted foundation for analytics and AI innovation.

Media

Media

Integrations Supported

Gemini
Gemini Enterprise
Gemini Enterprise Agent Platform
Google Cloud BigQuery
Google Cloud Dataflow
Google Cloud Managed Service for Apache Spark
Google Cloud Platform
Mindfuel

Integrations Supported

Gemini
Gemini Enterprise
Gemini Enterprise Agent Platform
Google Cloud BigQuery
Google Cloud Dataflow
Google Cloud Managed Service for Apache Spark
Google Cloud Platform
Mindfuel

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$0.060 per hour
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

Progress Software

Date Founded

1981

Company Location

United States

Company Website

www.progress.com/semaphore

Company Facts

Organization Name

Google

Date Founded

1998

Company Location

United States

Company Website

docs.cloud.google.com/dataplex/docs

Categories and Features

Artificial Intelligence

Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)

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

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