Confluent launches the industry’s only
serverless, cloud-native Flink service to simplify building
high-quality, reusable data streams
Confluent expands Stream Governance
capabilities with Data Portal, so teams can easily find all the
real-time data streams in an organization
New Confluent Cloud Enterprise offering lowers
the cost of private networking and storage for Apache Kafka
Confluent, Inc. (NASDAQ: CFLT), the data streaming pioneer,
today announced the open preview of Apache Flink® on Confluent
Cloud, a fully managed service for stream processing that makes it
easier for companies to filter, join, and enrich data streams with
Flink. With data streams processed on the fly, organizations are
able to react and innovate faster with timely insights. In
addition, Confluent announced Data Portal to help teams discover
all the real-time data streams within their organizations,
Enterprise Clusters to cut Apache Kafka® costs for serverless
private networking, and reduced storage costs for Confluent
Cloud.
Data streaming is a critical business requirement – 72% of IT
leaders use it to power mission-critical systems, according to the
2023 Data Streaming report. But streaming data is only part of the
puzzle. To derive the full value of data streams, organizations
need to combine, enrich, and reshape those streams with other data
from across their organization. In a data streaming platform,
stream processing acts as the compute layer that turns data into
valuable insights and action.
As one of the top projects of the Apache Software Foundation,
Flink has emerged as the de facto standard for stream processing.
Flink’s high performance, rich feature set, and robust developer
community make it one of the most popular choices for large-scale,
high throughput, and low-latency stream processing. Since Kafka has
become the standard technology for data streaming, Flink is often
used in tandem with Kafka to support companies’ mission-critical
workloads.
“Companies globally are leveraging data streaming with Apache
Kafka to power real-time experiences,” said Shaun Clowes, Chief
Product Officer at Confluent. “While data streaming connects data
across an organization, stream processing tools like Apache Flink
make it possible to act on that data in real time and accelerate
the development of new use cases. Our managed Kafka and Flink
offerings are like the peanut butter and jelly of data streaming.
They work better together on a unified platform to connect and
enrich data so teams can uncover more insights and deliver
impactful experiences that move the needle.”
Flink makes it possible for ride sharing companies to match
drivers and riders, for banks to alert users on fraudulent
activity, and for social media companies to offer personalized
content recommendations.
“Stream processing is critical for identifying and protecting
against security risks in real time,” said Vinay Krishna Patnana,
Engineering Manager at Cisco Meraki. “With Confluent’s fully
managed Flink offering, we can access, aggregate, and enrich data
from IoT sensors, smart cameras, and Wi-Fi analytics to swiftly
take action on potential threats in real time, such as intrusion
detection. This enables us to process sensor data as soon as the
events occur, allowing for faster detection and response to
security incidents without any added operational burden.”
However, like Kafka and other open source technologies,
self-managing Flink is operationally complex, has a steep learning
curve, and comes with expensive infrastructure and management
costs.
Confluent’s Apache Flink service simplifies stream
processing, enabling faster application development
Apache Flink on Confluent Cloud allows teams to create
high-quality, reusable data streams that can be delivered anywhere
in real time. With Confluent’s fully managed and elastically
scalable Flink service, teams can reduce the architectural
complexity and operational burdens of stream processing to enrich
streaming data and power innovative use cases.
“Stream processing involves real-time integration and
transformation of streams of event data, powering systems across
industries ranging from fraud detection in finance to personalized
recommendations in e-commerce," said Matt Aslett, Vice President
and Research Director at Ventana Research. "When used in
combination, Apache Flink and Apache Kafka can enable data
reusability and avoid redundant downstream processing. The delivery
of Flink and Kafka as fully managed services delivers stream
processing without the complexities of infrastructure management,
enabling teams to focus on building real-time streaming
applications and pipelines that differentiate the business.”
Teams using Apache Flink on Confluent Cloud can:
- Effortlessly filter, join, and enrich data streams with
Flink, the standard for stream processing.
- Enable high-performance and efficient stream processing at
any scale, without the complexities of infrastructure
management.
- Experience Kafka and Flink as a unified platform, with
fully integrated monitoring, security, and governance.
Apache Flink is available as an open preview for Confluent Cloud
customers using AWS in select regions for testing and
experimentation purposes. General availability is coming soon.
Additional Confluent Cloud innovations
Data Portal increases developer productivity with a simple
interface for discovering, accessing, and leveraging real-time data
streams
With open source Kafka and other managed Kafka solutions,
developers often run into problems finding and accessing the
relevant data streams they need to build real-time applications and
pipelines. This fragmented process wastes valuable development
cycles, restricts productivity, and slows innovation.
To address these challenges, Data Portal, an expansion of the
Stream Governance suite, leverages Confluent’s Stream Catalog
capabilities to simplify the developer experience. With its
flexible and self-service interface, Data Portal gives teams a
secure way to find and access all the data streams flowing
throughout their organization, speeding up the development of
real-time applications and products.
Data Portal enables teams to:
- Search, discover, and explore existing topics, tags, and
metadata across the organization with end-to-end visibility to
choose the data most relevant for their projects.
- Seamlessly and securely request access to data streams
and trigger an approval workflow that connects the user with the
data owner, all within the Confluent Cloud UI.
- Easily build and manage data products to power streaming
pipelines and applications by understanding, accessing, and
enriching existing data streams.
Confluent Cloud customers will be able to experience Data
Portal’s features to easily find data streams soon.
Kora drives new efficiencies and cost savings
Kora, Confluent’s cloud-native Apache Kafka engine, enables
Confluent to efficiently manage tens of thousands of Confluent
Cloud clusters, resulting in cost savings for our customers.
Enterprise Clusters maximize efficiency on private networks
while minimizing operational challenges
Confluent is expanding its serverless capabilities to those who
need private networking with Enterprise clusters on Confluent
Cloud. Built on the Kora Engine and developed for teams with
stringent security and networking requirements, teams using
Enterprise clusters can establish secure and direct communication
between VPCs and Confluent Cloud without exposing their data to the
internet.
With Enterprise Clusters on Confluent Cloud, teams can:
- Easily and securely connect private environments to
Confluent Cloud with simplified, reusable setup and secure
network isolation.
- Optimize resource and cost efficiency with auto-scaling
clusters to meet any demand.
- Eliminate manual sizing, provisioning and ongoing
management with automated operations and intelligent data
tiering powered by our Kora Engine.
Enterprise clusters are now available on AWS PrivateLink to
securely access resources in Confluent Cloud and simplify network
administration.
Reduced storage pricing for Confluent Cloud enables more data
storage for less
Confluent Cloud now offers storage for 20% less, effective
October 1, 2023. Teams can still retain all real-time and
historical events without limits, helping power more streaming use
cases, including event sourcing, artificial intelligence, and
stream processing, at a more affordable price. Try Confluent Cloud
for free in minutes.
These innovations are made possible by the Kora Engine and
underscore the benefits of Confluent’s cloud-native platform. Over
time, the new enterprise clusters and lower storage pricing are
expected to drive lower TCO and better ROI, while improving the
efficiency at which Confluent can deliver its complete data
streaming platform to new and existing customers.
Learn more at Current!
These new features and capabilities will be demoed onstage at
Current, the data streaming industry event, taking place on
September 26-27. Tune in today, September 26 at 8:45 am PT, to
watch a keynote presentation on the evolution and impact of data
streaming platforms. Register here to watch the keynote program and
select sessions virtually or attend in person to see live demos at
the Confluent booth. A live webcast and a replay of each
presentation will be available on Confluent’s website here.
Additional Resources
- Explore all the new innovations of the Confluent Q3 ‘23 Launch
in this blog post
- Learn more about Confluent’s Managed Flink Service
- For deep dives into each feature, register for the upcoming
Confluent Q3 ‘23 Launch webinar
- See how Confluent is helping customers transform their
business
About Confluent
Confluent is the data streaming platform that is pioneering a
fundamentally new category of data infrastructure that sets data in
motion. Confluent’s cloud-native offering is the foundational
platform for data in motion—designed to be the intelligent
connective tissue enabling real-time data, from multiple sources,
to constantly stream across the organization. With Confluent,
organizations can meet the new business imperative of delivering
rich, digital front-end customer experiences and transitioning to
sophisticated, real-time, software-driven back-end operations. To
learn more, please visit www.confluent.io.
Confluent and associated marks are trademarks or registered
trademarks of Confluent, Inc.
Apache® and Apache Kafka® are either registered trademarks or
trademarks of the Apache Software Foundation in the United States
and/or other countries. No endorsement by the Apache Software
Foundation is implied by the use of these marks. All other
trademarks are the property of their respective owners.
This press release contains forward-looking statements,
including among other things, statements regarding the benefits,
performance, features and use cases of Apache Flink on Confluent
Cloud, the role of stream processing for organizations, market
acceptance of data streaming, synergies and benefits of managed
Kafka and Flink, benefits and features as well as roll-out timing
of Data Portal and Kora, the anticipated benefits of new enterprise
clusters and lower storage pricing including long-term benefits to
the efficiency of Confluent’s business, the conversion of open
source users, and the adoption of Confluent’s data streaming
platform, and timing of certain pricing changes for the storage
feature of Confluent Cloud. The words “believe,” “may,” “will,”
“ahead,” “estimate,” “continue,” “anticipate,” “intend,” “expect,”
“seek,” “plan,” “project,” and similar expressions are intended to
identify forward-looking statements. These forward-looking
statements are subject to risks, uncertainties, and assumptions. If
the risks materialize or assumptions prove incorrect, actual
results could differ materially from the results implied by these
forward-looking statements. Except as required by law, Confluent
assumes no obligation to and does not currently intend to, update
any such forward-looking statements after the date of this
release.
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version on businesswire.com: https://www.businesswire.com/news/home/20230926152351/en/
Media Contact Natalie Mangan pr@confluent.io
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