Companies that use GraphDb

Frequently asked questions

What is the source of this data?

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.

How often is the data updated?

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.

What is GraphDb?

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.

How to get an updated list of companies that use GraphDb?

You can access an updated list of companies using GraphDb by visiting TheirStack.com. Our platform provides a comprehensive database of companies utilizing various technologies and internal tools.

How many customers does GraphDb have?

As of now, we have data on 662 companies that use GraphDb.

Who uses GraphDb?

GraphDb is used by a diverse range of organizations across various industries, including "It Services And It Consulting", "It Services And It Consulting", "Computer And Network Security", "It Services And It Consulting", "Software Development", "Biotechnology Research", "Financial Services", "Software Development", "E-Learning Providers", "Telecommunications". For a comprehensive list of all industries utilizing GraphDb, please visit TheirStack.com.

What companies use GraphDb?

Some of the companies that use GraphDb include Semantic Web Company, Akeero, Palo Alto Networks, Fujitsu, Microsoft, Roche, Capco, Procore Technologies, Imagine Learning, Telstra and many more. You can find a complete list of 662 companies that use GraphDb on TheirStack.com.

In which countries GraphDb is used the most?

Based on our data, GraphDb is most popular in United States (247 companies), United Kingdom (43 companies), India (24 companies), France (19 companies), Germany (16 companies), Canada (12 companies), Australia (9 companies), Netherlands (9 companies), Israel (8 companies), Switzerland (8 companies). However, it is used by companies all over the world.

How to find companies that use GraphDb?

You can find companies using GraphDb by searching for it on TheirStack.com, We track job postings from millions of companies and use them to discover what technologies and internal tools they are using.