Companies that use Graph Engine
The distributed RAM store provides a globally addressable high-performance key-value store over a cluster of machines. Through the RAM store, GE enables the fast random data access power over a large distributed data set.
69
companies
List of companies using Graph Engine
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\": [
\"graph-engine\"
]
}"Technology
is any of
Graph Engine
Employees10kRevenue$2.1BSoftware DevelopmentGraph EngineHigh confidence
Employees18kRevenue$23BFreight and Package TransportationGraph EngineHigh confidence
Employees1.1kRevenue$75MSoftware DevelopmentGraph EngineHigh confidence
Employees8.9kRevenue$253MIT Services and IT ConsultingGraph EngineHigh confidence
Employees15Software DevelopmentGraph EngineMedium confidence- Employees75Software DevelopmentGraph EngineMedium confidence
Employees230Revenue$25MSoftware DevelopmentGraph EngineMedium confidence
Employees346kRevenue$61BIT Services and IT ConsultingGraph EngineMedium confidence
Employees1kRevenue$2.1MIT Services and IT ConsultingGraph EngineMedium confidence
Employees23kRevenue$2.6BComputer GamesGraph EngineMedium confidence
We have data on 69 companies and users that use Graph Engine. Our Graph Engine 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 Graph Engine 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 Engine is a cutting-edge technology that falls under the category of Graph Databases. It is designed to efficiently store and manipulate graphs, which are data structures composed of nodes, edges, and properties. Graph Engine leverages graph-based data models to represent and query complex relationships, making it ideal for applications requiring the analysis of interconnected data sets.
In terms of its category, Graph Engine is a key player in the Graph Databases segment. Graph databases are specifically optimized to manage data with interconnections and relationships, making them suitable for various use cases such as social networks, recommendation engines, and knowledge graphs. By providing advanced querying capabilities and high performance for graph traversal, Graph Engine stands out as a valuable tool for companies seeking to uncover insights from highly connected data.
The history of Graph Engine dates back to its founding by a group of visionary developers with a passion for graph data processing. Initially conceptualized as a solution to efficiently navigate complex networks of interconnected data, Graph Engine has evolved into a robust technology platform with a strong emphasis on scalability and performance. Over the years, it has gained recognition for its innovative approach to graph processing and its ability to handle large-scale graph datasets effectively.
Currently, Graph Engine holds a notable market share within the Graph Databases landscape, with a growing number of organizations adopting this technology to power their graph-based applications. The increasing demand for analyzing complex relationships and patterns in data is expected to drive the further expansion of Graph Engine's market presence. As more businesses recognize the value of graph databases for unlocking hidden insights and enhancing decision-making processes, the future outlook for Graph Engine appears promising, with steady growth anticipated in the coming years.