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Top 6 RDF Databases SaaS Companies in May 2026

As of May 2026, there are 6 SaaS companies in RDF Databases. They have combined revenues of $288.3M and employ 2.6K people. They have raised - and serve - customers combined.

RDF databases are designed to store and manage data in the Resource Description Framework (RDF) format, which represents information about resources in a structured way. These databases excel in scenarios that require complex data relationships and the ability to merge diverse datasets, making them suitable for applications in semantic web technologies, knowledge graphs, and linked data management. Typical use cases include maintaining metadata for research data, improving data interoperability across different systems, and aggregating information from multiple sources into a unified framework. Common features of RDF databases include support for various serialization formats, advanced querying capabilities using SPARQL, and the ability to represent data as graphs that emphasize the relationships between entities. Primary users of RDF databases often span multiple disciplines, including data scientists, IT professionals, and researchers. Organizations that focus on knowledge management, data integration, and semantic search find RDF databases particularly valuable due to their flexibility and ability to facilitate complex queries over vast amounts of interconnected data.

Companies
6
Revenue
$288.3M
Funding
-
Employees
2.6K

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Top RDF Databases Companies

Showing 10 of 3 companies ranked by annual revenue.

1
TopQuadrant

Raleigh, North Carolina, United States

TopQuadrant helps organizations succeed in information management. Its flagship product, TopBraid EDG, uses Knowledge Graph technologies to connect metadata silos and deliver meaningful access for all data stakeholders to enterprise metadata, business terms, reference data, data and application catalogs, data lineage, requirements, policies, and processes.  TopBraid Enterprise Data Governance™ (EDG) supports the governance and provisioning of enterprise metadata, business glossaries and reference data. TopBraid Enterprise Vocabulary Net™ supports collaborative management of taxonomies and ontologies and offers auto-classification of documents and search enhancement. TopQuadrant customers include many government agencies and Fortune 1000 companies in numerous industries including pharmaceutical, financial services, energy and digital media. For more information, visit www.topquadrant.com.

Revenue
$4.1M
Customers
-
Year founded
2001
Funding
-
Team size
37
Growth
-
2
ONTOFORCE

Ghent, Flemish Region, Belgium

Through our intuitive data and technology solutions, we transform complex data into actionable insights, streamline drug development, and accelerate new treatments to patients. Our flagship product, DISQOVER, is a knowledge discovery platform which links siloed data using knowledge graph and semantic technologies. Users can search across disparate public and private data sources through a single interface that enables easy and efficient data discovery and exploration. DISQOVER allows researchers and collaborators to swiftly access valuable insights in one place, ensuring that information isn’t overlooked for faster and more accurate. The platform has been specifically developed for life sciences companies and is used by scientific researchers, bioinformaticians, data scientists, business users, and other roles. Customers include AstraZeneca, Amgen, the Princess Máxima Center for Pediatric Oncology, and more.

Revenue
$3.6M
Customers
-
Year founded
2011
Funding
-
Team size
33
Growth
-
3
Oxford Semantic Technologies

Oxford, Oxfordshire, United Kingdom

Oxford Semantic Technologies develop RDFox, the first market-ready high-performance knowledge graph designed from ground up with semantic reasoning in mind. Oxford Semantic Technologies was founded in 2017 as a spin-out of the University of Oxford with a mission to bring cutting-edge research in semantic web technologies to industry. The team started working on RDFox in 2011 at the Computer Science Department of the University of Oxford with the conviction that flexible and high-performance reasoning was a possibility for data extensive applications without jeopardising the correctness of the results. Patented modern computing techniques underpin RDFox’s ability to deliver responses to complex queries on the fly. This has unlocked a new wave of enterprise applications for prestigious partners. To learn more about our customer stories and the applications of RDFox, head over to our blog at: https://www.oxfordsemantic.tech/blog OST was acquired by Samsung Electronics in 2024.

Revenue
$2.2M
Customers
-
Year founded
2017
Funding
-
Team size
20
Growth
-

Inclusion Criteria

- Must support storing and managing data in RDF format - Should provide capabilities for advanced querying using SPARQL - Must enable data integration from diverse sources - Should allow representation of data as graphs to illustrate relationships - Must include support for multiple serialization formats - Not limited to traditional relational database functions; must provide specific features designed for semantic data management