cloud

DataStax Astra DB Now Delivers Connected, Real-Time Data Pipelines Powered by Streaming

Ed-Anuff

New “change data capture” (CDC) for Astra DB streams real-time operational data across an enterprise data ecosystem   

 DataStax, the real-time data company, today unveiled “change data capture” (CDC) for Astra DB,  a new capability for its multi-cloud database built on Apache Cassandra™. The new CDC for Astra DB is powered by advanced streaming technology built on Apache Pulsar™. It processes and delivers database changes in real time via event streams, making real-time data available for use across data lakes, data warehouses, search, artificial intelligence and machine learning.  

This powerful integration of event streaming with the high-scale, high-performance Astra DB multi-cloud database enables any organization to create smarter and more reactive applications fueled by connected, real-time data.  

Ed Anuff, chief product officer at DataStax, said, “CDC for Astra DB is unique in that it taps the performance of the world’s most scalable database and combines it with next-generation event streaming to fuel today’s data-intensive applications with a solution that just works.”  

Alpha Ori Technologies develops real-time data solutions for maritime shipping. “We are excited about the availability of CDC for DataStax Astra DB which will provide a real-time source of streaming data for real-time analytics. This will enable us to rapidly deliver analytics and alerts that help our maritime clients save money on fuel, mitigate maintenance-related risks, and reduce carbon emissions,” said Praveen Viswanath, enterprise architect, Alpha Ori Technologies. 

According to the recent McKinsey report, “The Data-Driven Enterprise of 2025”, data that is processed and delivered in real time is one of the seven characteristics predicted to define data-driven enterprises, yet companies often must choose between speed and computational intensity, which can delay more sophisticated analyses and inhibit the implementation of real-time use cases. 


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