Companies that use QuestDB

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 QuestDB?

QuestDB is a high-performance open-source database designed for time-series data. It boasts impressive speed and efficiency, making it an ideal choice for applications requiring real-time analytics and large-scale data processing. QuestDB's exceptional performance is attributed to its use of a column-oriented storage model and its optimized query execution engine, which allow for swift data retrieval and analysis.

As a database technology, QuestDB falls under the category of Databases. Specifically tailored for time-series data, it excels in handling datasets that are indexed and sorted by time intervals. This specialization makes QuestDB particularly valuable for industries such as finance, IoT, and monitoring systems, where time-series data plays a crucial role in decision-making processes.

QuestDB was founded in 2013 by Vlad Ilyushchenko, who recognized the need for a high-performance time-series database that could efficiently handle massive amounts of data. The motivation behind the creation of QuestDB stemmed from Ilyushchenko's frustration with existing database solutions that were not optimized for time-series workloads. Since its inception, QuestDB has gained momentum in the tech community for its speed, scalability, and developer-friendly features.

In terms of market share, QuestDB has been steadily gaining recognition within the time-series database category. Its performance advantages and growing community support have positioned it as a strong contender in the market. With the increasing demand for real-time analytics and data processing capabilities, QuestDB is poised to experience further growth in market share as more companies adopt it for their time-series data needs.

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

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

How many customers does QuestDB have?

As of now, we have data on 35 companies that use QuestDB.

Who uses QuestDB?

QuestDB is used by a diverse range of organizations across various industries, including "It Services And It Consulting", "Human Resources Services", "Software Development", "Financial Services", "Manufacturing", "Computer And Network Security", "Staffing And Recruiting", "Technology, Information And Internet", "Chemical Manufacturing", "Financial Services". For a comprehensive list of all industries utilizing QuestDB, please visit TheirStack.com.

What companies use QuestDB?

Some of the companies that use QuestDB include Nomad Global Communication Solutions, Simply Hired, Nominal, Tradition, MEGWARE Computer Vertrieb und Service GmbH, Sift, RemoteWorker CA, Stealth Startup, LG Energy Solution Michigan, LMAX Group and many more. You can find a complete list of 35 companies that use QuestDB on TheirStack.com.

In which countries QuestDB is used the most?

Based on our data, QuestDB is most popular in United States (10 companies), United Kingdom (6 companies), Spain (2 companies), Germany (1 companies), Italy (1 companies), Netherlands (1 companies), Portugal (1 companies), Switzerland (1 companies). However, it is used by companies all over the world.

How to find companies that use QuestDB?

You can find companies using QuestDB 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.