Ontotext Platform
Enterprise tools for building and querying knowledge graphs
At a glance
- Editor scoreNot yet scored
- PricingPricing on request
- Best forGraphQL-facing semantic data platforms
- Free planNo
- Semantic reasoningYes
- Founded2000 · Sofia, Bulgaria
- Facts checked21 Sep 2026
Where it wins
- RDF over GraphQL with GraphQL-to-SPARQL transpilation
- SOML modeling, SHACL validation, federation, and visual mapping
- RBAC and ABAC with GraphDB and search integrations
Where it doesn't
- Pricing requires contacting sales
- No free plan
- Its broad feature set may exceed narrow graph projects
Our verdict on Ontotext Platform
Ontotext Platform is a suite for organizing enterprise information into knowledge graphs and delivering semantic data services. It is aimed at solution teams, developers, and enterprises that need GraphQL access to RDF models, semantic modeling, validation, federation, and administration. Semantic Objects exposes GraphQL queries and mutations while transpiling them into SPARQL, and the platform also includes GraphDB-based RDF storage, Semantic Search, Refine, Workbench, and access-control capabilities. Deployment options include web, API, and self-hosted use.
Pricing follows a contact-sales model, with licensing handled through a sales conversation rather than a public plan structure. The platform connects with GraphDB, Elasticsearch, Solr, and MongoDB, and supports GraphQL Federation and GraphQL Mesh. Its ecosystem fit is particularly relevant when a team wants GraphQL-facing services over RDF and SPARQL capabilities, while still retaining options for RDF transformation, visual mapping, and federation. These capabilities give solution teams room to combine storage, search, data preparation, and service-layer needs within one platform.
The main trade-off is breadth. Ontotext Platform covers semantic object modeling with SOML, SHACL validation, RDF data transformation, GraphQL federation, GraphQL Mesh, Workbench administration, and RBAC or ABAC support. That scope suits organizations building connected knowledge graph applications and semantic data services, but may be more than a narrowly focused graph project requires. Choose it when GraphQL, RDF/SPARQL, semantic modeling, and access control need to work together; consider a more focused option when the requirement is limited to basic graph storage or querying.
Ontotext Platform pricing
Ontotext Platform fact sheet
| Free plan | No |
|---|---|
| Paid from | Not verified |
| Ontology modeling | Yes |
| Semantic reasoning | Yes |
| RDF/SPARQL support | Yes |
| Graph visualization | Yes |
| Import formats | csv, tsv, excel, json, xml |
| Deployment | Self_hosted |
| Query languages | GraphQL, SPARQL |
| Deployment | Self-hosted |
| Platforms | Web |
| Support | Email, Docs |
| Built for | Mid-market, Enterprise (editorial estimate) |
| Integrations | 6 integrations: GraphDB, Elasticsearch, Solr, MongoDB, GraphQL Federation, GraphQL Mesh |
| Pricing | Pricing on request |
| Website | platform.ontotext.com |
| Facts checked | 21 Sep 2026 |
Ontotext Platform integrations
Ontotext Platform lists 6 integrations on its own site.
- GraphDB
- Elasticsearch
- Solr
- MongoDB
- GraphQL Federation
- GraphQL Mesh
Alternatives to Ontotext Platform
- Neo4jA developer-focused property graph with broad tooling, cloud options, and AI-ready search.6.0
- ProtégéA strong free choice for OWL ontology work, with collaboration and reasoning options.—
- Progress SemaphoreA mature platform for ontology management, semantic enrichment, and enterprise knowledge graphs.8.0
See all Ontotext Platform alternatives →
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Reviewed by iTechGuides Editors · Editorial team · Updated Sep 2026
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