eccenca Corporate Memory
5.5#25 in knowledge graph softwareWebAPILinuxSelf-hosted
Visiteccenca Corporate Memory vs Stardog
What both publish
| Fact | eccenca Corporate Memory | Stardog |
|---|---|---|
| Deployment | Corporate Memory can be deployed with Docker or Kubernetes, with operations automated through CLI and CI/CD pipelines. | Stardog can run as a managed AWS cloud service, in customer cloud environments, or on premises through Docker, Kubernetes, AWS Marketplace, and Azure Marketplace. |
| Founded | 2014 | 2006 |
| Headquarters | Leipzig, Germany | New York, New York, United States |
| Integrations | Documented integrations include OpenAI, Anthropic Claude, Azure AI Foundry, Snowflake, Salesforce, Neo4j, n8n, and Microsoft Office 365. | Connectors cover databases including Snowflake, BigQuery, Oracle, PostgreSQL, MongoDB, Elasticsearch, Salesforce, Jira, Splunk, and REST sources. |
| Purpose | Corporate Memory is an enterprise knowledge graph platform for managing data, rules, constraints, capabilities, and configurations in one application. | Stardog connects enterprise data into a semantic layer for AI, analytics, search, and applications. |
eccenca Corporate Memory plans
- Commercial licensePriced on request
Stardog plans
- Stardog Cloud FreeFree
- Stardog FreeFree
- Stardog Cloud EnterprisePriced on request
- Stardog EnterprisePriced on request
Pick eccenca Corporate Memory if…
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.
Pick Stardog if…
Stardog suits organizations that need to unify data across cloud and on-premises sources for analytics, AI, search, or applications. It is also relevant to teams that need graph-based data modeling, standards-based querying, and deployment options spanning managed cloud and self-hosting.