Couchbase Inc., a cloud database platform company, announces today its new Capella Columnar service on Amazon Web Services (AWS) at AWS re:Invent 2023, in Las Vegas. Capella Columnar enables organizations to harness real-time analytics to build more adaptive artificial intelligence (AI)-powered applications.
The new service introduces a columnar store and data integration into the Capella database as a service (DBaaS), which allows for real-time data analysis on the same platform as operational workloads.
By converging operational and real-time analytic applications into one database platform, Couchbase removes friction to deliver higher performance. For more information about Capella Columnar and to sign up for the private preview, visit https://www.couchbase.com/products/analytics/.
To build modern and high-performing applications, organizations manage and invest in operational and real-time analytical systems and data pipelines that need to be integrated.
The acceleration of AI creates greater challenges because having disparate database platforms introduces complexity that confuses the models being trained to power the application. Capella Columnar solves these problems as it allows users to perform operational and real-time analytical processing with compelling performance and speed in one platform. Furthermore, the app and the user benefit by experiencing no latency and receiving more seamless, premium AI experience.
With the new Capella Columnar service, customers can:
- Improve agility and performance – Capella Columnar works within a Capella-powered application to enable fast ingestion without having to perform extract, transform and load (ETL). The service can distribute data from operational workloads to perform real-time analytics on operational data and then influence app behavior with that information.
- Stream ingestion from enterprise data sources in real-time – With Capella Columnar, operational analytics are not limited to only operational data because users can include external JSON, relational, streaming and other datasets from SaaS applications or other database management sources. Capella Columnar can analyze a variety of data in a simple single statement.
- Increase ease of use for developers – Capella Columnar uses the same SQL++ query language across operational and real-time analytic applications. This means developers who already know SQL can build apps easily on a single platform with a single query language instead of having to use two different query languages. The service also features natural language-powered Capella iQ as a SQL++ co-pilot for faster coding.
- Reduce complexity and cost – By converging operational and real-time analytics in one data platform, customers can achieve more with Capella and with a lower total cost of ownership (TCO) instead of absorbing the cost of one database platform for operational workloads and another for near real-time analytics. In addition, teams converting JSON data to traditional analytic databases will no longer need to go through a complex conversion process.
Capella Columnar leverages AWS services as an integral part of the product architecture including Amazon Elastic Compute Cloud (Amazon EC2), Amazon Simple Storage Service (Amazon S3), Amazon Elastic Kubernetes Service (Amazon EKS), Amazon Managed Streaming for Apache Kafka (Amazon MSK) and AWS Secrets Manager.
In addition, Capella Columnar will have connectors to move data from Amazon DynamoDB, Amazon DocumentDB, Amazon Relational Database Service (Amazon RDS) and others as well as to move data to Amazon SageMaker for training and modeling.
For more information, visit Couchbase in booth 1095, through Friday at AWS re:Invent in Las Vegas. To learn how to become a Couchbase partner, go to https://www.couchbase.com/partners/partner-with-couchbase/
