
Mortar Data
Powerful platform for big data processing and analysis.
Date | Investors | Amount | Round |
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- | investor investor | €0.0 | round |
investor investor investor | €0.0 | round | |
N/A | €0.0 | round | |
investor investor investor investor investor investor investor investor | €0.0 | round | |
N/A | €0.0 | round | |
N/A | Acquisition | ||
Total Funding | 000k |










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Mortar Data operated as a platform-as-a-service (PaaS) company, providing a sophisticated and scalable solution for big data applications. The company was founded by K Young, who also served as CEO, and was headquartered in New York. Emerging from the TechStars accelerator program, Mortar Data secured seed funding in 2012 from a notable group of investors including Atlas Venture, Genacast Ventures, and prominent individuals from the tech industry. Over its lifetime, the company raised approximately $3 million in funding across several rounds.
The core of Mortar Data's business was to simplify the complexities of working with large-scale data technologies like Hadoop. It targeted engineers and data scientists, enabling them to build and deploy custom big data applications and data pipelines without getting bogged down by infrastructure management. The platform facilitated the integration of various data sources and allowed for complex analyses through custom machine learning applications. By offering an engineering tool to create and execute Hadoop jobs more accessibly—using Python and Apache Pig on cloud infrastructure—Mortar aimed to broaden the user base for big data analytics. The business model was centered on providing this robust, scalable platform to companies, accelerating their data project development and offering operational support, such as pinpointing production issues and automating recovery.
A significant milestone in the company's history was its acquisition by Datadog in February 2015. At the time of the acquisition, Datadog was a rapidly growing SaaS-based monitoring platform for cloud applications and was even a customer of Mortar Data. The acquisition was a strategic move for Datadog to integrate Mortar's analytics and machine learning expertise, aiming to provide its own customers with more actionable insights from the vast amounts of performance data it collected. The entire Mortar Data team and its technology were absorbed into Datadog, with the goal of making the Mortar platform the analytics engine for Datadog's monitoring service.
Keywords: Mortar Data, Datadog acquisition, big data platform, Hadoop as a service, data pipeline, machine learning applications, K Young, TechStars, data analytics, cloud monitoring, PaaS, data engineering, custom analytics, big data apps, Apache Pig, Python