Confluent Cloud Gets an Upgrade
May 13, 2019
Cloud has been enhanced with new cloud-native capabilities and fully
managed services. These updates give the ability to quickly harness the
power of cloud-native event streaming so organizations can build
event-driven applications and deliver the digital experiences their
In the digital age, businesses are expected to understand customer needs
and adapt to them instantly—regardless of where they are or what is
needed. These new expectations are why businesses are turning to event
streaming platforms like Apache Kafka to transform data into a
competitive asset. With Kafka®, they can put data at the center of their
business for a new contextual view which completely changes how they
interact with customers, respond to market movements and even create new
revenue streams. However, like most open source software, Kafka isn’t
designed to support the key attributes of cloud native systems that make
transformational technologies easier to adopt, deploy and scale.
“There is a growing groundswell of adoption behind Apache Kafka with 60
percent of the Fortune 100 now using an event streaming platform to
power their business,” said Neha Narkhede, co-founder, chief technology
and product officer, Confluent. “But many organizations don’t have the
teams or resources needed to size, provision and manage Kafka clusters.
With the latest enhancements to Confluent Cloud, we’re making it easier
than ever for any data-starved business to transform into a business
driven by data in a matter of minutes.”
Apache Kafka Re-Engineered for the Cloud
As part of its efforts to build a cloud-native Kafka service, Confluent
is releasing major updates that enable elastic scalability and
consumption-based pricing on Confluent Cloud. These updates reduce the
initial investment and commitment to getting started with an event
streaming platform and enable customers to scale their costs in line
with use. Developers and project teams no longer need large IT teams and
budgets to manage and provision Kafka clusters.
• Unparalleled elasticity –
Confluent Cloud can now scale dynamically from 0 to 100 MBps and scale
back down in seconds and can scale further without limit beyond that
with provisioned capacity. Now organizations can grow their use of
Confluent Cloud seamlessly in-place from development to production
deployments and autoscale instantly.
• Consumption-based pricing –
Eliminates the need to size and provision clusters, or pay for unused
capacity to account for seasonal, bursty traffic. With consumption-based
pricing, Confluent becomes the only Kafka service that enables
organizations to pay only for what is actually streamed.
As the pioneer of event streaming, Confluent continues to deliver on its
promise to provide a complete event streaming platform. Kafka alone is
incomplete without the ecosystem components needed to operate it at
scale and at streaming maturity. To that end, Confluent is advancing its
vision of a complete event streaming service by building fully managed
services in three key areas:
Confluent® Schema Registry – Fully managed, central registry to define
standard schemas for events, share them across the organization and
safely evolve them in a way that is backward compatible and future
• Confluent® KSQL – Fully
managed streaming SQL engine to enable real-time data processing with an
easy-to-use, powerful interactive SQL interface - no need to write code.
• Kafka® S3 sink connector –
Confluent® Connectors automate the integration of the most widely used
data sources or sinks to Confluent Cloud. The first of the fully managed
connectors launched by Confluent, Kafka S3 sink connector enables
companies to easily sink data from Kafka to S3.
Fully managed Confluent Schema Registry, Confluent KSQL and Kafka S3
sink connector are currently available in public preview in both
Confluent Cloud and Confluent Cloud Enterprise.