DataStax, the real-time data provider, today announced "change data capture" (CDC) for Astra DB, a new functionality for its multi-cloud database based on Apache CassandraTM. Advanced streaming technology based on Apache PulsarTM powers the new CDC for Astra DB. It employs event streams to analyze and transmit database updates in real time, allowing real-time data to be used across data lakes, data warehouses, search, AI, and machine learning.
With this powerful combination of event streaming and the high-scale, high-performance Astra DB multi-cloud database, any business can build smarter, more reactive apps driven by linked, real-time data.
“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.”
Ed Anuff, chief product officer at DataStax
Despite the pressure for companies to employ real-time data for instant action and insight, legacy architectures are failing to fulfill the performance and scalability demands of real-time data processing. As a result, only a fraction of real-time data is being used today. As a result, data is often submitted in batches, resulting in data that is chronically outdated.
Praveen Viswanath, enterprise architect, Alpha Ori Technologies said that “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.”
Data that is processed and delivered in real time is one of the seven characteristics predicted to define data-driven enterprises, as per a recent McKinsey report, "The Data-Driven Enterprise of 2025," but businesses often must choose between speed and computational intensity, delaying more advanced analytics and inhibiting the execution of real-time use cases.
Waseem Fadel, director of R&D at WorkJam said “We’re always looking for ways to streamline operations, and we hope that the combination of event streaming with Change Data Capture (CDC) will enable us to create smarter and more reactive applications fueled by connected, real-time data.”
Businesses can now standardize on the massively scalable, zero-downtime Astra DB, and any updates to the database are processed and sent in real time to other areas of the data ecosystem, with no trade-offs between speed, scalability, and availability, thanks to CDC for Astra DB. Businesses may use their real-time data to gain additional business value from areas like e-commerce, fraud detection, customer experience, sales and inventories, and transportation and logistics, thanks to this seamless connectivity.
Tony Baer, principal analyst at dbInsight stated “With CDC, Astra DB further converges operational and streaming data to become a bidirectional data hub for real-time data. CDC will allow customers to blend Astra DB with cloud analytic platforms like Snowflake, or the hub for mobile apps with far less friction.”