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It is the platform democratizing access to data and enabling enterprises to build their own path to AI in a human-centric way.
2,173
companies
Technoloy Usage Stadistics and Market Share
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.
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.
You can export his data to an Excel file, which can be imported into your CRM. You can also export the data to an API.
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Dataiku is used in 50 countries
Technology
is any of
Dataiku
Company | Country | Industry | Employees | Revenue | Technologies |
---|---|---|---|---|---|
United States | Insurance Carriers | 10K | $19B | Dataiku | |
United Kingdom | Banking | 85K | $22B | Dataiku | |
France | Banking | 25K | $9.5B | Dataiku | |
Switzerland | Pharmaceutical Manufacturing | 102K | $51B | Dataiku | |
France | Banking | 169K |
| Dataiku | |
France | It Services And It Consulting | 5K |
| Dataiku | |
United States | Pharmaceutical Manufacturing | 57K | $26B | Dataiku | |
United States | Financial Services | 11K | $19B | Dataiku | |
France | Financial Services | 10K |
| Dataiku | |
France | It Services And It Consulting | 240 |
| Dataiku |
We have data on 2,173 companies that use Dataiku. Our Dataiku 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.
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.
Dataiku is a leading technology in the field of Data Science Tools, providing a comprehensive platform that enables organizations to build and deploy AI-driven solutions efficiently. It serves as a collaborative tool that bridges the gap between data analysts, data scientists, and business users, allowing them to work together seamlessly to extract valuable insights from data. Dataiku offers a user-friendly interface with a host of features such as data preparation, visualization, machine learning, and model deployment, making it a popular choice among businesses aiming to leverage the power of data for informed decision-making.
Dataiku falls under the category of Data Science Tools, which focuses on providing software solutions that facilitate data analysis, predictive modeling, and machine learning tasks. This category is crucial for organizations looking to derive actionable insights from their data and unlock the potential of artificial intelligence in driving business growth and innovation. Dataiku, specifically, stands out for its versatility in handling complex data workflows and supporting a wide range of data sources and formats.
Founded in 2013 by Florian Douetteau, Marc Batty, Clément Sténac, and Thomas Cabrol, Dataiku emerged with a vision to democratize data science and make advanced analytics accessible to all users within an organization. The founders aimed to address the challenges of traditional data science processes, such as siloed workflows and limited collaboration opportunities, by introducing a platform that promotes teamwork and knowledge sharing among different stakeholders. Since its inception, Dataiku has experienced significant growth and recognition in the industry, becoming a key player in the Data Science Tools market.
Currently, Dataiku holds a substantial market share within the Data Science Tools category, with a growing customer base across various industries globally. The demand for data-driven insights and AI solutions continues to rise, indicating a positive outlook for Dataiku's market share in the foreseeable future. As organizations increasingly prioritize data-driven decision-making and invest in advanced analytics capabilities, Dataiku is well-positioned to expand its market presence and solidify its reputation as a leading provider of data science platforms.
You can access an updated list of companies using Dataiku by visiting TheirStack.com. Our platform provides a comprehensive database of companies utilizing various technologies and internal tools.
As of now, we have data on 2,173 companies that use Dataiku.
Dataiku is used by a diverse range of organizations across various industries, including "Insurance Carriers", "Banking", "Banking", "Pharmaceutical Manufacturing", "Banking", "It Services And It Consulting", "Pharmaceutical Manufacturing", "Financial Services", "Financial Services", "It Services And It Consulting". For a comprehensive list of all industries utilizing Dataiku, please visit TheirStack.com.
Some of the companies that use Dataiku include Lincoln Financial Group, Standard Chartered Bank, La Banque Postale, Novartis, BNP Paribas, Talan, AbbVie, Lincoln Financial, Crédit Agricole, AVISIA and many more. You can find a complete list of 2,173 companies that use Dataiku on TheirStack.com.
Based on our data, Dataiku is most popular in United States (531 companies), France (322 companies), United Kingdom (106 companies), Spain (33 companies), India (32 companies), Netherlands (32 companies), Germany (30 companies), Canada (29 companies), Singapore (27 companies), Switzerland (27 companies). However, it is used by companies all over the world.
You can find companies using Dataiku 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.