Latka logo

Top 3 RDF Databases SaaS Companies With $1M–$5M Revenue (September 2026)

As of September 2026, Latka tracks 3 RDF databases SaaS companies with $1M–$5M in annual revenue. They have combined revenues of $9.9M and employ 90 people.

Every company below sells RDF databases software to other businesses and is ranked by its most recent annual revenue. Revenue, funding, headcount and customer figures come from CEO interviews on the Latka podcast, public company filings, and Latka estimates where a company has not disclosed a number.

What RDF Databases SaaS Companies do

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
3
Revenue
$9.9M
Funding
-
Employees
90

Filters

Sorting: Highest -> Lowest

Filters
Revenue
All<$1M$1M-$5M$5M-$10M$10M-$100M$100M+
Funding (Locked)Growth (Locked)Team-Size (Locked)

Top RDF Databases SaaS Companies With $1M–$5M Revenue

Showing 3 of 3 companies ranked by annual revenue.

1TopQuadrant logo
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
Year founded
2001
Team size
37
2ONTOFORCE logo
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
Year founded
2011
Team size
33
3Oxford Semantic Technologies logo
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
Year founded
2017
Team size
20

Frequently asked questions about RDF Databases SaaS Companies With $1M–$5M Revenue

How many RDF databases SaaS companies with $1M–$5M in annual revenue are there?

Latka tracks 3 RDF databases SaaS companies with $1M–$5M in annual revenue. Together they generate $9.9M in annual revenue and employ 90 people.

Which RDF databases SaaS company with $1M–$5M in annual revenue is the largest?

TopQuadrant is the largest, with $4.1M in annual revenue, founded in 2001.

How much revenue does a typical RDF databases SaaS company with $1M–$5M in annual revenue make?

The average RDF databases SaaS company in this list makes $3.3M a year, across 3 companies with reported revenue.

Who are the leading RDF Databases vendors with $1M–$5M in annual revenue?

Ranked by annual revenue, the leaders are TopQuadrant, ONTOFORCE and Oxford Semantic Technologies.

Related IT Infrastructure Software categories

All IT Infrastructure Software SaaS categoriesEvery category we track inside IT Infrastructure Software, each ranked by revenue.Browse every SaaS industryThe full A-Z of SaaS categories Latka tracks, from RDF Databases to everything else.

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