DEVOPSdigest

Couchbase officially launched Capella™ Columnar on AWS, which helps organizations streamline the development of adaptive applications by enabling real-time data analysis alongside operational workloads within a single database platform.

“We’re committed to empowering organizations to build truly adaptive applications that can respond to real-world scenarios in real time,” said Matt McDonough, SVP of Product and Partners at Couchbase. “With the launch of Capella Columnar, we’re solving long-standing challenges in JSON data analytics, enabling businesses to seamlessly integrate insights into their operational applications. Our vector search capabilities in Couchbase Mobile extend this adaptivity to edge and IoT devices, opening up new possibilities for hyper-personalized and context-aware applications.”

Many organizations, including Couchbase customers, have embraced the flexibility of JSON when building business-critical applications. However, while JSON is often the programmer’s preferred data format, it can be difficult to use for traditional analytic systems that expect data to conform to more rigid structures. Without formal structures, business intelligence teams spend too much time on data hygiene, and less on including operational JSON data in their analysis. This is why so much semi-structured JSON data remains dormant. Couchbase offers key-value and columnar storage options for operational and analytic workloads on a single platform, providing customers the power and flexibility to make JSON data useful in analytics.

Capella Columnar addresses the challenge of parsing, transforming and persisting JSON data into an analysis-ready columnar format. It supports real-time, multisource ingestion of data not only from Couchbase, but also using common systems like Confluent Cloud — built by the original creators of Apache Kafka® — to draw data from other third-party JSON or SQL systems. Capella Columnar makes analysis easy by using Capella iQ, the AI-powered coding assistant that writes SQL++ for the developer, who no longer needs to wait for the BI team to run analytics for them. Once an important metric is calculated, it can immediately be written back to the operational side of Capella, which can use the metric within the application.

“This write-back problem has remained unaddressed by analytic systems for decades because it was too difficult to anticipate what a developer would do with it,” added McDonough. “Capella Columnar implements the solution, and the needs of AI-powered applications provide the motive.”

Capella Columnar reduces latency, complexity and cost to empower organizations to build real-time adaptive applications. For example, it can enable more personalized experiences in an e-commerce application so retailers can provide custom offers that enhance revenue, or build in customer-facing metrics in a gaming application to accelerate engagement. As AI enhances these applications, Capella Columnar positions Couchbase to meet the growing demand for high-performing, personalized and intelligent adaptive solutions.

“Couchbase already provides a highly flexible data management capability by blending its base JSON document model with the ability to manage the data in a networked way,” said Carl Olofson, Research Vice President at IDC. “Now they have added blended analytic-transaction processing support that leverages the performance advantage of columnar data management together with vector search in support of applications demanding intelligent data access at the speed of business. These are capabilities that the market has been looking for but are hard to find contained in a single product.”