Dawiso vs Progress Semaphore

Dawiso is an enterprise data governance platform that organizes metadata into governed data products for people and AI agents. Its catalog discovers data sources and uses AI to add business context to metadata. Search includes intelligent tools and dynamic filters, while knowledge graphs and column-level lineage help users explore relationships. Teams can connect technical metadata with business definitions, ownership, usage details and sensitivity classifications. Dawiso advertises 40+ native connectors, including Snowflake, Databricks, BigQuery, SQL Server, PostgreSQL, Oracle, Power BI and Tableau; some integrations are marked as on the roadmap. Deployment options include SaaS on Azure, private cloud and on-premises. For hybrid setups, Dawiso says only metadata is transferred, using TLS-secured transmission. The Corporate plan includes an MCP Server, and the company says AI agents access context through MCP and APIs with the same permissions as people. Standard starts at €445 a month, with five user seats, five contributor licenses, 20 viewer licenses, unlimited connectors and Slack forum support. A 14-day trial is listed; there is no free plan.

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.