eccenca Corporate Memory
eccenca.com
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
Where Specifiction places it
- RDF Databases#14 of 267.7
- Knowledge Graph Software#19 of 337.8