Couchbase, Inc. announced a new Capella columnar service
on Amazon Web Services (AWS) at AWS re:Invent 2023, enabling organizations to
harness real-time analytics to build adaptive applications. Capella columnar is
a new service that introduces a columnar store and data integration into the
Capella Database-as-a-Service (DBaaS), thereby allowing 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 a premium customer experience. For more
information about Capella columnar and to sign up for the private preview,
please visit https://www.couchbase.com/products/analytics/.
"To
gain a competitive advantage and accelerate business opportunities,
organizations are investing in real-time, adaptive applications that are
contextual, hyper-personalized and intelligent. Real-time analytics are
paramount to delivering these adaptive applications, and AI is making them even
better and more strategic," said Scott Anderson, SVP of product management and
business operations at Couchbase. "With columnar in our Capella DBaaS, for the
first time organizations can easily build adaptive applications powered by
real-time analytics in a single JSON-based platform. We are eliminating the
latency gap that has forever existed between analytics and operational
databases while making it easier for development teams to include the required
real-time analytic measures into their adaptive applications."
According
to Forrester Research, "Moving data from transactional systems to
operational systems and then to analytical systems is a barrier to making
better decisions faster. Disparate data stacks also compromise the delivery of
timely data to various applications, operational systems and into the analytics
workflow, resulting in missed business opportunities." The acceleration of
AI creates an even greater challenge 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, all in one uniquely architected platform. Furthermore,
both the application and the user benefit by experiencing no latency and
receiving a more seamless, premium experience.
With
the new Capella columnar service, customers can:
- Improve agility and
performance.
Capella columnar works within a Capella-powered application to enable fast,
schemaless 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 immediately influence
application behavior with that information. In addition, the separation of
compute and storage means Capella columnar can rapidly scale to meet changing
application or analytical needs.
- 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 true variety of data in a
simple, single statement. For example, it can analyze data from Couchbase, S3,
BSON, Cassandra, DynamoDB and MySQL all in the same statement.
- Increase ease of use for
developers.
Capella columnar uses the same SQL++ query language across operational and
real-time analytic applications. This means that developers who already know
SQL can easily build applications on a single platform with a single query
language instead of having to use two different query languages. The new
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.