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DataStax Acquires Machine Learning Company Kaskada to Unlock Real-Time AI

Move Marks New Chapter for DataStax as it Expands its Offerings to Enable Rapid Delivery of AI-Driven Applications at Scale

Company Will Open Source Core Kaskada Technology, Later Deliver an ML Cloud Service

India– DataStax, the real-time AI company, today announced it has entered into a definitive agreement to acquire Kaskada, a machine learning (ML) company that first solved ​managing​, storing​ and accessing​ ​time-based data​ to train​ behavioral ML ​​models ​and deliver the ​instant, actionable insights​ that fuel artificial intelligence (AI)​.

Both DataStax and Kaskada have a track record of contributing to open source communities. Datastax will open source the core Kaskada technology initially, and it plans to offer a new machine learning cloud service later this year.

Most machine learning initiatives don’t deliver the results that businesses need because the process is manual, complex and frustrating Compounding this problem, many models underperform because they lack the relevance and context of real-time data. The addition of Kaskada to DataStax’s portfolio of cloud services—which today includes the massively scalable Astra DB database-as-a-service built on Apache Cassandra® and event streaming with Astra Streaming— will give organizations a single environment to easily and cost-effectively deliver applications infused with real-time AI, using an advanced ML/AI model proven by industry leaders such as Netflix and Uber.

“Businesses must operate in real time, using data to power operations and fuel instant, informed decisions and actions,” said Chet Kapoor, DataStax chairman and CEO. “DataStax has a disproportionately high number of customers using real-time data, and with Kaskada as part of our services portfolio, we can give them the opportunity to use that data to create powerful experiences for their customers with real-time AI. It’s an exciting time for DataStax, and we have a clear new mandate: make it possible for anyone with real-time data to do real-time AI.”

“Many companies struggle to see success with their big data projects because they don’t have the luxury of large ML and data engineering organizations–the cost is large and the time to impact is long,” said Davor Bonaci, Kaskada CEO. “We’re thrilled to join forces with DataStax to enable the real-time AI stack that just works, fueled with data from Astra DB.”

AI at Scale: Game-changing potential, but hard to achieve

According to Gartner, “By 2027, over 90% of new software applications that are developed in the business will contain ML models or services as enterprises utilize the massive amounts of data available to the business. These models will add data-driven intelligence to applications by integrating models that deliver next best actions, forecasts, scoring, risk assessment and many other attributes for both customer and employee transactions.1

“The emergence of intelligent applications infused with personalization and artificial intelligence impacts requirements for operational data platforms to support real-time analytic functionality. The need for real-time interactivity means that these applications cannot be served by traditional processes that rely on the batch extraction, transformation and loading of data from operational data platforms into analytic data platforms for analysis. Instead, they rely on analysis of data in the operational data platform to accelerate decision-making or improve customer experience.

The Kaskada technology is designed to process massive amounts of event data as streams or stored in databases and its unique time-based capabilities create and update features for ML models based on sequences of events, or over time. It enables customers to adapt to rapidly evolving content and asynchronously creates features, allowing applications to use millions of predictions based on unique contexts.

“In e-commerce, you must be able to instantaneously act on insights to provide customers with the most impactful experiences; and that requires the application of machine learning on real-time transactions,” Martin Brodbeck, CTO at Priceline. “We have millions of customers using our website and mobile apps at any given moment and Astra DB is a powerful component of the Priceline data infrastructure. Our machine learning algorithms use massive data troves to provide valuable customer insights, greater personalization, and better travel recommendations, fueling our larger customer ecosystem.”

DataStax has launched a new look and feel for the company as part of their evolution to becoming the real-time AI company delivering a high-scale database, advanced event streaming and now real-time AI that helps customers build fast and scale without limits. The company logo and overall corporate identity have been refreshed with new colorways and treatments which have just rolled out.

Additional Resources:

  • Blogpost by DataStax CEO Chet Kapoor
  • Blogpost by Kaskada CEO Davor Bonaci
  • White paper “TITLE”

1Gartner, “A Mandate for MLOps, ModelOps and DevOps Coordination,” Van Baker, Nov. 22, 2022

About Kaskada

Kaskada is the machine learning company that empowers practitioners to train behavioral ML models directly from event-based data and reliably serve them in production. With Kaskada, practitioners directly connect to event data generated by real-time applications to get more value from the data to power predictions, decisions, and experiences. Kaskada’s feature engine brings iterative time-based feature engineering that automatically protects from leakage with native time-travel and data-dependent windowing and provides a robust data infrastructure for computing, storing, and serving features in production. Visit for more information.

About DataStax

DataStax is the real-time AI company. With DataStax, any enterprise can mobilize real-time data and quickly build smart, high-growth applications at unlimited scale, on any cloud. DataStax delivers the Astra DB cloud database built on Apache Cassandra® and the Astra Streaming event streaming technology built on Apache Pulsar™. Hundreds of the world’s leading enterprises, including Verizon, Audi, ESL Gaming and many more rely on DataStax to unleash the power of real-time data to win new markets and change industries. Learn more at

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