OpenMetadata vs Progress Semaphore

OpenMetadata is an open-source platform for cataloging and governing data, bringing technical context, business meaning and organizational memory into a knowledge graph. Its capabilities include discovery, data quality, observability, lineage, semantics and memory. The graph connects schemas, tables, columns, dashboards, pipelines, ML models, owners and classifications. Glossary terms, metric definitions and relationships using RDF, OWL, DCAT and Schema.org help represent shared business meaning. For AI workflows, OpenMetadata provides an MCP server, an AI SDK and a Context Center for articles, documents and memories. Its ingestion framework has connectors for 130+ data services, including Airflow, BigQuery, Databricks, dbt, Kafka, MySQL, Snowflake and Tableau. The schema-first architecture includes 700+ open specifications in JSON Schema and RDF/JSON-LD. It can be deployed in an organization's own environment, explored in a live sandbox with demo data, or used through a free cloud service with the organization's data. The self-hosted plan is listed at free, with no usage limits stated. Security documentation describes stored-secret encryption, SSL/TLS connections and external secrets manager support.

Progress Semaphore is a semantic layer for generative AI. It manages knowledge models, extracts facts, classifies structured and unstructured information, and generates semantic metadata. Its listed uses include conversational agents, document Q&A, semantic enterprise search, and content generation. Semantic RAG adds enterprise data to prompts to support relevant responses and reduce hallucinations and data biases. Business users can moderate and instruct the platform, while subject matter experts manage and maintain knowledge models. Those models and metadata show what information was used and what actions shaped decisions. Semaphore can run on-premises, as SaaS, on demand, or in a hybrid environment, with customers able to license selected modules. Listed integrations include MarkLogic, NiFi, OpenText, SharePoint Online, Sitecore, Solr, and WAND. It supports ontology modeling, semantic reasoning, RDF/SPARQL, graph visualization, and RDF or spreadsheet imports. Pricing is on request; a 30-day trial includes a personalized cloud environment, all capabilities, and guided onboarding. Platforms include API, Linux, self-hosted, web, and Windows.