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Alation Data Intelligence Platform vs Progress Semaphore

Alation Data Intelligence Platform

alation.com

Progress Semaphore

progress.com

Side by side

FigureAlation Data Intelligence PlatformProgress Semaphore
Price from——
Free plan——
Free trial—Yes
Open source——
WebYesYes
Windows—Yes
Linux—Yes
APIYesYes
Self-hostedYesYes
Plans published13
Spec score · Metadata Management Software7.7 (#8)7.4 (#9)
DeploymentAlation states that its platform supports on-premises and multi-cloud deployments, including Azure.Semaphore can be deployed on-premises, as SaaS, on demand, or in a hybrid environment, and customers can license only the modules they need.
Founded20121981
GovernanceThe Data Governance Policy Center lets organizations create policies to manage risk and compliance.Business users moderate and instruct Semaphore, while subject matter experts manage, develop, and maintain knowledge models.
HeadquartersRedwood City, California, USABurlington, Massachusetts, USA
IntegrationsThe platform can bring data into Excel, Teams, and Slack, and its connector examples include Snowflake, Tableau, AWS Glue, Databricks, MongoDB, and Salesforce.Progress documentation lists integration guides for MarkLogic, NiFi, OpenText, SharePoint Online, Sitecore, Solr, and WAND.
PurposeAlation brings data context, rules, policies, definitions, and relationships into a shared reference so people, agents, and data apps can find and use trusted data.Semaphore provides a semantic layer for generative AI intended to support explainable, relevant, and trustworthy outcomes.

Plans

Alation Data Intelligence Platform

  • Alation Data Intelligence PlatformPriced on request

Alation Data Intelligence Platform pricing →

Progress Semaphore

  • BusinessPriced on request
  • DevelopmentPriced on request
  • EnterprisePriced on request

Progress Semaphore pricing →

In their own words

Alation Data Intelligence Platform

Alation Data Intelligence Platform brings data context, policies, definitions, and relationships into a shared reference for people, agents, and data applications seeking trusted data. Its Data Catalog uses machine learning to interpret natural-language searches and surface relevant assets, while automated column-level lineage traces relationships from source to destination. ALLIE AI recommends metadata descriptions, and the platform offers agents for documentation, data quality, and data product building. Organizations can create risk and compliance policies through the Data Governance Policy Center. Alation combines metadata with quality metrics and connects to external quality and observability tools through its Open Data Quality Framework. It lists more than 120 connectors, with an SDK for developing additional ones, and provides REST APIs for integrations and bulk transfers of glossaries or documents. Examples include Snowflake, Tableau, AWS Glue, Databricks, MongoDB, and Salesforce; data can also be brought into Excel, Teams, and Slack. Deployment options include on-premises and multi-cloud environments, including Azure. Pricing is on request: the listed plan uses a pool of consumption units whose size is estimated with Alation.

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Progress Semaphore

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.

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