Companies that use MongoDB
MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
128,241
companies
List of companies using MongoDB
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\": [
\"mongodb\"
]
}"Technology
is any of
MongoDB
Employees200kRevenue$75BFinancial ServicesMongoDBHigh confidence
Employees412kRevenue$45BProfessional ServicesMongoDBHigh confidence
Employees731kRevenue$27BIT Services and IT ConsultingMongoDBHigh confidence
Employees89kRevenue$9.5BIT Services and IT ConsultingMongoDBHigh confidence
Employees346kRevenue$61BIT Services and IT ConsultingMongoDBHigh confidence
Employees68kRevenue$4.8BIT Services and IT ConsultingMongoDBHigh confidence
Employees374kRevenue$17BIT Services and IT ConsultingMongoDBHigh confidence
Employees8.9kRevenue$253MIT Services and IT ConsultingMongoDBHigh confidence
Employees244kFinancial ServicesMongoDBHigh confidence
Employees67kRevenue$31BFinancial ServicesMongoDBHigh confidence
We have data on 128,241 companies and users that use MongoDB. Our MongoDB 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 MongoDB 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.
MongoDB is a popular NoSQL database program that uses a document-oriented data model. It is designed to be flexible and scalable, providing high performance and easy scalability for modern applications. MongoDB stores data in flexible, JSON-like documents, meaning fields can vary from document to document and data structure can be changed over time. This makes it particularly well-suited for applications with evolving requirements where a fixed schema can be limiting.
MongoDB falls under the category of Databases, specifically NoSQL databases. Unlike traditional relational databases, NoSQL databases like MongoDB are not based on the tabular structure but rather on document-oriented or key-value data models. This allows for greater flexibility and scalability, making it an attractive option for applications that require quick iterations and handle large volumes of unstructured or semi-structured data.
MongoDB was founded in 2007 by Dwight Merriman, Eliot Horowitz, and Kevin Ryan. The motivation behind MongoDB's creation was to address the limitations and complexities of traditional relational databases for modern applications. The founders aimed to provide a solution that could easily scale and handle the growing amounts of data generated by web and mobile applications, offering a more agile and developer-friendly alternative.
As of the latest data available, MongoDB holds a significant market share in the NoSQL database category, competing with other players like Cassandra and Couchbase. With the increasing demand for flexible and scalable database solutions in the era of big data and cloud computing, MongoDB is forecasted to continue its growth trajectory. Its robust features, community support, and compatibility with modern development practices position MongoDB as a key player in the database market with a promising future ahead.