DataStax has introduced a change data capture (CDC) function for its Astra DB multi-cloud database built on Apache Cassandra.
Powered by advanced streaming technology built on Apache Pulsar, CDC processes and sends database changes in real time via event streams. This makes real-time data available for use across data lakes, data warehouses, search, artificial intelligence, and machine learning.
Only a fraction of real-time data today is being leveraged as legacy architectures cannot meet the performance and scale requirements of real-time data processing. Data is often uploaded in batch mode, creating chronically stale data.
With CDC for Astra DB, organisations can create smarter and more reactive applications fueled by connected, real-time data. Changes to the database are processed and delivered in real time to other parts of the data ecosystem with no trade offs between speed, scale and availability.
This seamless integration enables organisations to activate their real-time data to derive incremental business value from areas including e-commerce, fraud detection, customer experience, sales and inventory, and transportation and logistics.
“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,” said Ed Anuff, Chief Product Officer of DataStax.