DataStax’s Astra DB new data capture capability will enable new edge applications
DataStax, which bills itself as a real-time data company, has announced a new “change data capture” capability for its Astra DB multi-cloud database. The feature means that DataStax is able to deliver database changes in real-time as the data is captured via event streams, making the data available for use across data lakes, data warehouses, search, AI, and ML. In turn, enterprise application developers will be able to make a play in edge computing and data management use cases that would have been difficult otherwise.
The new change data capture (DCD) feature leverages Apache Pulsar, a cloud-native, distributed message, and streaming platform. DataStax’ Astra DB itself is built on open-source Apache Cassandra.
“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 at DataStax.
Astra DB is a serverless Cassandra-compatible DBaaS that eliminates operational overhead and reduces the total cost of ownership with the pay-as-you-go pricing model. Built on Kubernetes, Astra DB uses microservices and an API architecture to accelerate application development and reduce time-to-market, according to the company.
Databases, event streaming, and the edge
The challenge of moving data is one of the key reasons behind the rise of edge computing. In short, the idea is to move the processing closer to where data is created. Yet, companies are aiming to fill out a wide array of data storage and processing needs, but are doing so in the context of a centralized cloud infrastructure to support those needs. CDC has the potential to further extend DataStax’ footprint in edge computing solutions/
Alpha Ori Technologies is an existing DataStax customer that develops real-time data solutions for maritime shipping. The company has already been using Astra DB as part of an Internet of Things (IoT) platform to collect and transmit more than 5,000 data points every 30 seconds from navigation, cargo, and engine control systems onboard a vessel. The data is used to enable fuel savings for ships, which in turn reduces their carbon footprint.
Enterprise architect Praveen Viswanath at Alpha Ori Technologies said “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.”
“Only a fraction of data from connected devices is ingested, processed, queried, and analyzed in real-time due to the limits of legacy technology structures, the challenges of adopting more modern architectural elements, and the high computational demands of intensive, real-time processing jobs,” according to a recent McKinsey report.
The integration of “change data capture” into Astra DB enables real-time data processing across the data ecosystem with no trade-offs between speed and availability, the company said. The integration allows businesses to monitor real-time data from the edge nodes and analyze data through interactive models.
“With CDC, Astra DB further converges operational and streaming data to become a bidirectional data hub for real-time data,” said Tony Baer, principal analyst at DBInSight said in a prepared statement. “CDC will allow customers to blend Astra DB with cloud analytic platforms like Snowflake, or the hub for mobile apps with far less friction.”
Article Topics
Apache | database | DataStax | open source | streaming data
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