eccenca Corporate Memory
eccenca Corporate Memory is an enterprise knowledge graph platform for managing data, rules, constraints, capabilities, and configurations.
What eccenca Corporate Memory is
eccenca Corporate Memory is an enterprise knowledge graph platform for managing data, rules, constraints, capabilities, and configurations. It connects sources such as SQL databases, Snowflake, Kafka streams, files, APIs, and graph stores, then turns data into governed knowledge graphs intended to support teams, applications, and AI agents with reliable, explainable information.
Users can define ontologies, vocabularies, and linking rules to represent business entities and relationships. Configurable workflows, rule engines, and AI-assisted mapping support transformation, linking, and enrichment; SHACL validation and versioning help identify inconsistencies and apply rules. Interfaces include SPARQL, GraphQL, SQL, and REST, with fine-grained access controls and authentication through Keycloak. Deployment options include Docker or Kubernetes, with CLI and CI/CD pipeline automation. The platform supports hybrid deployment, SPARQL 1.1, reasoning, and several RDF formats. A free community edition sandbox is available, but its Personal, Evaluation and Development License Agreement is for non-commercial use. Commercial pricing is on request.
Good
- Connects databases, streams, files, APIs, and graph stores
- Supports semantic modeling with ontologies and vocabularies
- SHACL validation and versioning support governance
- Offers SPARQL, GraphQL, SQL, and REST interfaces
- Free community edition sandbox is available
Watch out
- Free license is intended for non-commercial use
- Commercial pricing is on request
- Installation requires a Docker-enabled Linux server
Who it suits
It is aimed at enterprises that need to combine and govern data across multiple sources, and at business experts seeking no-code data management. Teams deploying knowledge graphs or integrating them with applications and AI agents may also find its interfaces and workflows relevant.
Verdict
Corporate Memory brings semantic modeling, data integration, governance, and deployment tools into an enterprise knowledge graph platform. The free sandbox is available for evaluation and non-commercial use; commercial licensing is offered with pricing on request.
Plans and prices
From eccenca Corporate Memory's own pricing page, checked 8 Oct 2026.
| Plan | Price | What it gives you |
|---|---|---|
| Commercial license | Priced on request | Commercial license; pricing not shown on the opened pages |
The facts
Each one read from eccenca Corporate Memory's own pages, with the date it was checked.
What it does
- Authentication
- Corporate Memory uses Keycloak with OAuth2, OpenID Connect, and SAML 2.0, and can integrate with LDAP or Active Directory.checked 8 Oct 2026
- Data integration
- The product connects to SQL databases, Snowflake, Kafka streams, files, APIs, and graph stores, and transforms data into governed knowledge graphs.checked 8 Oct 2026
- Deployment
- Corporate Memory can be deployed with Docker or Kubernetes, with operations automated through CLI and CI/CD pipelines.checked 8 Oct 2026
- Hosting requirements
- The installation guide says the components are distributed as Docker images and require a Docker-enabled Linux server.checked 8 Oct 2026
- Integrations
- Documented integrations include OpenAI, Anthropic Claude, Azure AI Foundry, Snowflake, Salesforce, Neo4j, n8n, and Microsoft Office 365.checked 8 Oct 2026
- Intended users
- The product page describes no-code access intended to let business experts manage data directly and reduce reliance on IT.checked 8 Oct 2026
- Interfaces and access
- The platform lists fine-grained access control, Keycloak integration, and SPARQL, GraphQL, SQL, and REST interfaces.checked 8 Oct 2026
- License limitation
- The free Personal, Evaluation and Development License Agreement is intended for non-commercial usage; a commercial license can be provided for deployment.checked 8 Oct 2026
- Purpose
- Corporate Memory is an enterprise knowledge graph platform for managing data, rules, constraints, capabilities, and configurations in one application.checked 8 Oct 2026
- Semantic modeling
- Users can define ontologies, vocabularies, and link rules to represent business entities and relationships in a machine-readable semantic layer.checked 8 Oct 2026
- Trusted knowledge
- The platform turns fragmented enterprise data into reusable knowledge intended to ground teams, applications, and AI agents in reliable, explainable data.checked 8 Oct 2026
- Validation and governance
- The product supports SHACL validation, workflow automation, and versioning to detect inconsistencies and enforce rules.checked 8 Oct 2026
- Workflow automation
- Configurable workflows, rule engines, and AI-assisted mapping can orchestrate transformations, linking, and enrichment pipelines.checked 8 Oct 2026
The company
- Founded
- 2014checked 28 Sep 2026
- Headquarters
- Leipzig, Germanychecked 28 Sep 2026
Money
- 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.checked 8 Oct 2026
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