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eccenca Corporate Memory

eccenca.com

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Spec score 7.7 #14 of 26 in RDF Databases

Spec sheet

Purpose
Corporate Memory is an enterprise knowledge graph platform for managing data, rules, constraints, capabilities, and configurations in one application.Read 8 Oct 2026 · eccenca.com
Intended users
The product page describes no-code access intended to let business experts manage data directly and reduce reliance on IT.Read 8 Oct 2026 · eccenca.com
Deployment
Corporate Memory can be deployed with Docker or Kubernetes, with operations automated through CLI and CI/CD pipelines.Read 8 Oct 2026 · eccenca.com
Integrations
Documented integrations include OpenAI, Anthropic Claude, Azure AI Foundry, Snowflake, Salesforce, Neo4j, n8n, and Microsoft Office 365.Read 8 Oct 2026 · documentation.eccenca.com
Headquarters
Leipzig, GermanyRead 28 Sep 2026 · eccenca.com
Founded
2014Read 28 Sep 2026 · eccenca.com
Authentication
Corporate Memory uses Keycloak with OAuth2, OpenID Connect, and SAML 2.0, and can integrate with LDAP or Active Directory.Read 8 Oct 2026 · eccenca.com
Data integration
The product connects to SQL databases, Snowflake, Kafka streams, files, APIs, and graph stores, and transforms data into governed knowledge graphs.Read 8 Oct 2026 · eccenca.com
Free edition
The maker offers a free community edition sandbox, and its installation documentation describes a free Personal, Evaluation and Development License Agreement for non-commercial usage.Read 8 Oct 2026 · eccenca.com
Hosting requirements
The installation guide says the components are distributed as Docker images and require a Docker-enabled Linux server.Read 8 Oct 2026 · documentation.eccenca.com
Interfaces and access
The platform lists fine-grained access control, Keycloak integration, and SPARQL, GraphQL, SQL, and REST interfaces.Read 8 Oct 2026 · eccenca.com
License limitation
The free Personal, Evaluation and Development License Agreement is intended for non-commercial usage; a commercial license can be provided for deployment.Read 8 Oct 2026 · documentation.eccenca.com
Semantic modeling
Users can define ontologies, vocabularies, and link rules to represent business entities and relationships in a machine-readable semantic layer.Read 8 Oct 2026 · eccenca.com
Trusted knowledge
The platform turns fragmented enterprise data into reusable knowledge intended to ground teams, applications, and AI agents in reliable, explainable data.Read 8 Oct 2026 · eccenca.com
Validation and governance
The product supports SHACL validation, workflow automation, and versioning to detect inconsistencies and enforce rules.Read 8 Oct 2026 · eccenca.com
Workflow automation
Configurable workflows, rule engines, and AI-assisted mapping can orchestrate transformations, linking, and enrichment pipelines.Read 8 Oct 2026 · eccenca.com

Plans and prices

Commercial license Priced on request Commercial license; pricing not shown on the opened pages Read 8 Oct 2026 · documentation.eccenca.com

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