Dataiku has been profitable since its founding in 2013 and had raised an initial $3.6M seed (led by Alven Capital and Serena) round prior to this $14M Series A.
"As the Big Data market reaches early maturity, the time has come for a platform that makes everything and everyone work together, whether it is Hadoop, machine learning, data scientists or data analysts, and that is exactly what Dataiku offers," said Matt Turck, Managing Director at FirstMark Capital. "It is a formidable challenge to build a platform that can do so much, and I am deeply impressed by the breadth, depth, and maturity of Dataiku's product: powerful data blending and wrangling capabilities, a rich native coding environment for data scientists, intuitive tools for data analysts, powerful collaboration features, and rock solid capabilities to deploy predictive analytics in production enterprise-wide, with deep attention to security and data governance. The market has rightly recognized this feat, and Dataiku has been growing explosively. I am thrilled that Dataiku chose FirstMark to lead their Series A."
As the demand for in-house built data solutions continues to be a major challenge for most organizations, Dataiku recognizes the need to empower data teams with a platform that streamlines and accelerates the development process - from raw data to complete predictive application.
"At Dataiku, we believe anyone should be able to contribute to the data science process. Every individual can be effective if given the freedom to use the technologies, languages, or interface that he or she knows best. That's also how business and IT teams can work together, which is the key for a truly data-driven enterprise. This is why we strive to deliver a platform that maximizes team collaboration and efficiency without removing technical depth and usability," said Dataiku CEO, Florian Douetteau. "We are proud to have FirstMark Capital by our side and truly honored by their recognition of Dataiku as the solution that will enable organizations to quickly accelerate growth and time to insight by scaling data science. I firmly believe that Dataiku is on its way to breaking the unnecessarily siloed steps involved in the data science process and providing a new kind of data analytics platform which is both cross-user and cross-domain."
This year, Dataiku has tackled the growing problems that organizations face when empowering and scaling data teams, harnessing data governance, and delivering quality data products rapidly around the globe. In August, the company released their latest software update with two major announcements: in addition to becoming completely Spark Native by supporting the widely-adopted programming language Scala (in addition to Python, R, Pig, Hive, SQL, and more), Dataiku 3.1 also announced the full integration of 5 visual machine learning backends (H2O Sparkling Water, Spark MLlib, Scikit-Learn, XGBoost, and Vertica ML), enabling analysts to build models without having to type a single line of code.
In September, just days after Inside Big Data named Dataiku "Vendor of the Week," Ovum published "On the Radar: Dataiku Provides Integrated Analytics Environment for Data Scientists" in which it positioned the company as a promising "SAS alternative" for data scientists, data analysts, and data team leads.
To learn more about Dataiku visit: www.dataiku.com
Dataiku develops Dataiku Data Science Studio, the unique advanced analytics software solution that enables companies to build and deliver their own data products more efficiently. Thanks to a collaborative and team-based user interface for data scientists and beginner analysts, to a unified framework for both development and deployment of data projects, and to immediate access to all the features and tools required to design data products from scratch, users can easily apply machine learning and data science techniques to all types, sizes, and formats of raw data to build and deploy predictive data flows.
More than 100 customers in industries ranging from e-commerce, to industrial factories, to finance, to insurance, to healthcare, and pharmaceuticals use DSS on a daily basis to collaboratively build predictive dataflows to detect fraud, reduce churn, optimize internal logistics, predict future maintenance issues, and more. Dataiku has offices in Paris and New York.
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