Companies that use TigerGraph DB
It is the only scalable graph database for the enterprise which is based on the industry’s first Native and Parallel Graph technology. It unleashes the power of interconnected data, offering organizations deeper insights and better outcomes. It’s proven technology supports applications such as IoT, AI and machine learning to make sense of ever-changing big data.
11
companies
List of companies using TigerGraph DB
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\": [
\"tigergraph-db\"
]
}"Technology
is any of
TigerGraph DB
Employees158kRevenue$6.6BIT Services and IT ConsultingTigerGraph DBMedium confidence
Employees374kRevenue$17BIT Services and IT ConsultingTigerGraph DBMedium confidence
Employees446RetailTigerGraph DBMedium confidence
Employees67IT Services and IT ConsultingTigerGraph DBMedium confidence
Employees120Hospitals and Health CareTigerGraph DBMedium confidence
Employees293kComputer Hardware ManufacturingTigerGraph DBLow confidence
Employees55Revenue$19MSoftware DevelopmentTigerGraph DBLow confidence
Employees731kRevenue$27BIT Services and IT ConsultingTigerGraph DBLow confidence
We have data on 11 companies and users that use TigerGraph DB. Our TigerGraph DB 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 TigerGraph DB 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.
TigerGraph DB is a highly advanced graph database system that offers powerful and efficient capabilities for storing and analyzing interconnected data. It is designed to handle complex relationships and vast amounts of data with incredible speed and scalability. TigerGraph DB leverages a distributed graph computing architecture to process and query data in real-time, making it ideal for applications that require real-time analytics, machine learning, and artificial intelligence.
Graph Database as a Service is a category that encompasses cloud-based graph database solutions. These services provide organizations with the flexibility and convenience of accessing and utilizing graph databases without the need for on-premises infrastructure. Graph Database as a Service offerings typically include features such as data replication, automatic scaling, and built-in security mechanisms to ensure data integrity and performance in a cloud environment.
TigerGraph DB was founded in 2012 by Dr. Yu Xu with the vision of revolutionizing graph analytics and unlocking new opportunities for data-driven insights. Dr. Xu's background in big data and analytics spurred the creation of TigerGraph DB as a response to the limitations of traditional databases in handling complex relationships and diverse data types. Since its inception, TigerGraph DB has gained recognition for its performance, ease of use, and versatility in addressing a wide range of use cases across industries.
In terms of current market share, TigerGraph DB has been steadily increasing its presence within the graph database market. With a growing number of organizations recognizing the value of graph databases for applications such as fraud detection, recommendation systems, and network analysis, TigerGraph DB is poised for continued expansion. Industry analysts project a positive trajectory for TigerGraph DB's market share as more companies adopt graph database technologies for data-intensive applications, signaling a strong potential for growth in the future.