metaphactory
6.0#21 in knowledge graph softwareWebAPILinuxSelf-hosted
Visitmetaphactory vs Stardog
What both publish
| Fact | metaphactory | Stardog |
|---|---|---|
| Deployment | The maker offers a hosted trial and Docker and AWS Marketplace trials, and says Docker deployments can be run wherever the customer chooses with a graph database. | Stardog can run as a managed AWS cloud service, in customer cloud environments, or on premises through Docker, Kubernetes, AWS Marketplace, and Azure Marketplace. |
| Headquarters | Walldorf, Germany | New York, New York, United States |
| Integrations | The platform supports connections to Snowflake, Databricks, BigQuery, and Amazon Redshift, and the product page describes federation across SPARQL endpoints and heterogeneous sources. | Connectors cover databases including Snowflake, BigQuery, Oracle, PostgreSQL, MongoDB, Elasticsearch, Salesforce, Jira, Splunk, and REST sources. |
| Purpose | metaphactory defines, governs and connects business meaning across distributed data environments as an enterprise knowledge graph platform. | Stardog connects enterprise data into a semantic layer for AI, analytics, search, and applications. |
metaphactory plans
- Enterprise licensePriced on request
Stardog plans
- Stardog Cloud FreeFree
- Stardog FreeFree
- Stardog Cloud EnterprisePriced on request
- Stardog EnterprisePriced on request
Pick metaphactory if…
You want what its maker publishes above — check its page for the details.
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.