Companies that use GraphDb
It is an enterprise ready Semantic Graph Database, compliant with W3C Standards. Semantic graph databases (also called RDF triplestores) provide the core infrastructure for solutions where modelling agility, data integration, relationship exploration and cross-enterprise data publishing and consumption are important.
1,479
companies
List of companies using GraphDb
curl --request POST \
--url "https://api.theirstack.com/v1/companies/search" \
--header "Accept: application/json" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer <api_key>" \
-d "{
\"company_technology_slug_or\": [
\"graphdb\"
]
}"Technology
is any of
GraphDb
Employees244kFinancial ServicesGraphDbHigh confidence
Employees6.9kBroadcast Media Production and DistributionGraphDbHigh confidence
Employees717Revenue$58MInformation ServicesGraphDbHigh confidence
Employees61kFinancial ServicesGraphDbHigh confidence
Employees740Advertising ServicesGraphDbHigh confidence
Employees224Revenue$7.8MIT Services and IT ConsultingGraphDbHigh confidence
Employees177IT Services and IT ConsultingGraphDbHigh confidence
Employees14Business Consulting and ServicesGraphDbHigh confidence
Employees14Software DevelopmentGraphDbHigh confidence
Employees18Business Consulting and ServicesGraphDbHigh confidence
We have data on 1,479 companies and users that use GraphDb. Our GraphDb users and customers list is available for download and comes enriched with vital company specifics, including industry classification, organizational size, geographical location, funding rounds, and revenue figures, among others.
Technology Usage Statistics and Market Share
How to target GraphDb users
- How to customize this list?
You can customize this data to your needs by filtering for geography, industry, company size, revenue, technology usage, job postions and more. You can download the data in Excel or CSV format.
- How to be alerted when companies adopt this technology?
You can get alerts for this data. You can get started by selecting the technology you are interested in and then you will receive alerts in your inbox when there are new companies using that technology.
- How to import this data to my CRM?
You can export this data to an Excel file, which can be imported into your CRM. You can also export the data to an API.
Frequently asked questions
Our data is sourced from job postings collected from millions of companies. We monitor these postings on company websites, job boards, and other recruitment platforms. Analyzing job postings provides a reliable method to understand the technologies companies are employing, including their use of internal tools.
We refresh our data daily to ensure you are accessing the most current information available. This frequent updating process guarantees that our insights and intelligence reflect the latest developments and trends within the industry.
Graph databases, often referred to as GraphDB, are a type of database that uses graph structures for semantic queries with nodes, edges, and properties to represent and store data. These databases are well-suited for scenarios where relationships between data points are as important as the data points themselves, making them ideal for applications requiring complex querying and deep relationship analysis.
GraphDB falls under the category of databases, specifically graph databases. With a focus on relationships and connections between data points, GraphDB allows for efficient and fast traversal of relationships in various industries such as social networks, fraud detection, recommendation engines, and network and IT operations.
GraphDB emerged in the early 2000s with companies like Neo4j pioneering the space. Founded in 2007 by Emil Eifrem, Neo4j was motivated by the need for a tool that could manage connections and relationships more effectively than traditional relational databases. Since then, GraphDB has seen significant growth in adoption across industries due to its ability to handle complex relationships easily.
Currently, GraphDB holds a notable market share within the database category, with a growing trend expected to continue in the future. As more companies recognize the value of leveraging relationships in data for enhanced insights and decision-making, the demand for GraphDB technologies is forecasted to increase. With an expanding ecosystem and continuous advancements in graph database technology, GraphDB is poised to maintain and potentially grow its market share in the coming years.