Ontotext Platform
5.4#28 in knowledge graph softwareWebAPILinuxSelf-hosted
VisitOntotext Platform vs Stardog
What both publish
| Fact | Ontotext Platform | Stardog |
|---|---|---|
| Deployment | Platform applications, services, and data stores are provided as Docker images, with Kubernetes deployment support and a Helm chart. | 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 | 2000 | 2006 |
| Headquarters | Sofia, Bulgaria | New York, New York, United States |
| Integrations | The platform documentation describes integrations with GraphDB, Elasticsearch, FusionAuth, Kong, MongoDB, Grafana, InfluxDB, and Telegraf. | Connectors cover databases including Snowflake, BigQuery, Oracle, PostgreSQL, MongoDB, Elasticsearch, Salesforce, Jira, Splunk, and REST sources. |
| Purpose | The platform is designed to connect knowledge graphs and text analytics to support search, exploration, classification, and recommendation across diverse information spaces. | Stardog connects enterprise data into a semantic layer for AI, analytics, search, and applications. |
Ontotext Platform plans
- Commercial time-based licensePriced on request
Stardog plans
- Stardog Cloud FreeFree
- Stardog FreeFree
- Stardog Cloud EnterprisePriced on request
- Stardog EnterprisePriced on request
Pick Ontotext Platform 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.