17
companies
List of companies using JDSP
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\": [
\"jdsp\"
]
}"Technology
is any of
JDSP

Employees57kRevenue$61BMachinery Manufacturing
JDSPMedium confidence
Employees67kTransportation Equipment Manufacturing
JDSPMedium confidence
Employees107Revenue$28MResearch Services
JDSPMedium confidence
Employees5.6kHospitals and Health Care
JDSPMedium confidence
Employees654Financial Services
JDSPLow confidence
Employees25kRevenue$2.1BResearch Services
JDSPLow confidence
Employees671Semiconductor Manufacturing
JDSPLow confidence
We have data on 17 companies and users that use JDSP. Our JDSP 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 JDSP 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.
JDSP, which stands for Java Data Science Platform, is a cutting-edge technology that combines the power of Java programming with data science capabilities. It serves as a robust platform for developing and deploying data-driven applications and algorithms within the Java ecosystem. JDSP leverages the efficiency and versatility of Java to enable seamless integration of data science tools and techniques, making it a valuable resource for companies and developers seeking to harness the power of data in their applications.
In the realm of Java Tools, JDSP falls under the category of advanced data science platforms tailored specifically for Java developers. This category encompasses tools and platforms that facilitate data analysis, machine learning, and artificial intelligence tasks within the Java environment. JDSP stands out for its comprehensive suite of data science functionalities, making it a preferred choice for organizations looking to leverage big data and analytics for informed decision-making and innovation.
Founded in 2017 by a team of data scientists and Java experts, JDSP emerged in response to the growing demand for data-driven solutions in the Java community. The founders identified the need for a specialized platform that seamlessly integrates Java programming with advanced data science capabilities, thus laying the groundwork for JDSP's development. Since its inception, JDSP has gained traction in the market for its innovative approach and robust functionality, attracting a loyal user base within the Java Tools ecosystem.
Currently, JDSP holds a significant market share within the Java Tools category, with a growing trend projected for the future. As the demand for data science solutions continues to rise across industries, JDSP is expected to experience further adoption and expansion in the market. With its competitive edge in Java-based data science platforms, JDSP is well-positioned to capitalize on the increasing need for advanced analytics and machine learning tools, solidifying its market presence in the coming years.