Confluent Cloud for Apache Flink®, a leading
cloud-native, serverless Flink service is now available on AWS,
Google Cloud, and Microsoft Azure
Confluent’s fully managed, cloud-native service
for Flink helps customers build high-quality data streams for data
pipelines, real-time applications, and analytics
Confluent, Inc. (NASDAQ:CFLT), the data streaming pioneer,
announced the general availability of Confluent Cloud for Apache
Flink®, a fully managed service for Apache Flink® that enables
customers to process data in real time and create high-quality,
reusable data streams. Confluent Cloud for Apache Flink® is
available across Amazon Web Services (AWS), Google Cloud, and
Microsoft Azure. Backed by Confluent’s 99.99% uptime SLA,
Confluent’s cloud-native service for Flink enables reliable,
serverless stream processing.
Organizations are under incredible pressure to deliver
exceptional customer experiences and streamline operations with
cutting-edge use cases like fraud detection, predictive
maintenance, and real-time inventory and supply chain management.
Stream processing is a critical part of bringing these real-time
experiences to life because it enables organizations to act on data
as it arrives rather than waiting to process it in batches when the
data is often already stale and out of date.
As the compute layer in the data streaming infrastructure,
stream processing helps teams filter, join, and enrich data in real
time to make it more usable and valuable for sharing with
downstream applications and systems. It creates high-quality data
streams that can be reused for multiple projects and provides
improved agility, data consistency, and cost savings compared to
traditional batch processing solutions. As the de facto stream
processing standard, Flink is relied upon by innovative companies
like Airbnb, Uber, Netflix, and Stripe to support mission-critical
streaming workloads. That is what sparked the surge in Flink’s
popularity. In 2023, Flink was downloaded almost one million
times.
"Stream processing is essential for extracting timely insights
from continuous data streams to power a wide range of critical use
cases, including fraud detection, dynamic pricing, and real-time
inventory and supply chain management,” said Stewart Bond, research
VP, data integration and data intelligence software at IDC. “Apache
Flink is becoming a prominent stream processing framework in this
shift towards real-time insights. Flink and Apache Kafka® are
commonly used together for real-time data processing, but differing
data formats and inconsistent schemas can cause integration
challenges and hinder the quality of streaming data for downstream
systems and consumers. A fully managed, unified Kafka and Flink
platform with integrated monitoring, security, and governance
capabilities can provide organizations with a seamless and
efficient way to ensure high-quality and consistent data streams to
fuel real-time applications and use cases, while reducing
operational burdens and costs.”
As a leading cloud-native, serverless Flink offering, Confluent
Cloud for Apache Flink® enables customers to easily build
high-quality, reusable data streams to power all of their real-time
applications and analytics needs.
“Stream processing allows organizations to transform raw streams
of data into powerful insights,” said Shaun Clowes, chief product
officer at Confluent. “Flink’s high performance, low latency, and
strong community make it the best choice for developers to use for
stream processing. With Kafka and Flink fully integrated in a
unified platform, Confluent removes the technical barriers and
provides the necessary tools so organizations can focus on
innovating instead of infrastructure management.”
With Confluent Cloud for Apache Flink®, customers can:
- Effortlessly filter, join, and enrich data streams with
Flink, the de facto 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
"Conditions in the automotive logistics industry can change
rapidly, requiring immediate action to address delays, reroute
vehicles, and update systems and customers," said Jeffrey Jennings,
sr. consultant, data and integration services at ACERTUS.
"Confluent's serverless Flink service will enable us to instantly
and efficiently transform, integrate, and enrich massive volumes of
data in our transportation management system, providing real-time
visibility into the status and location of vehicles for both
systems and customers."
"To meet rising customer demands in a volatile energy market, we
need to deliver near real-time data to our client-facing
applications,” said Sami AlAshabi, solutions architect at Essent.
“Relying on batch processing can cause performance issues and
result in poor decision-making based on outdated data. By using
Kafka and Flink together in a unified platform, our teams will be
able to easily build intelligent streaming data pipelines that can
extract data from various sources, process it in real time, and
feed it to our downstream consumers for timely analysis without any
operational challenges. We’re excited about Confluent’s fully
managed Flink service, because it will help make stream processing
accessible to everyone by creating high quality, reusable data
streams to fuel innovation and data exploration across our lines of
business.”
Apache Flink powers real-time use cases and next-generation
experiences
Flink powers the real-time use cases customers demand. Flink
enables customers to build streaming data pipelines, event-driven
applications, and real-time analytics to power use cases like
personalized recommendations, dynamic pricing, and anomaly
detection. Confluent Cloud for Apache Flink® is an easy way for
companies to get started with these stream processing use
cases.
Easier AI development with streaming data pipelines
Streaming data pipelines supply real-time data to critical data
systems across an organization, including data warehouses,
databases, and data lakes, to ensure they always reflect the
current state of the business. As generative AI becomes a top
priority for many companies, vector databases are another data
system that must be continuously updated with timely and
well-curated data from streaming data pipelines.
If the data in a vector database becomes stale or low fidelity
because of pipelines that rely on periodic batch processing and
public datasets, the reliability and relevance of generative AI
diminishes. Flink can be used to create streaming data pipelines to
ensure vector databases are supplied with cleaned,
business-contextualized, real-time data to support generative AI
applications.
Confluent Cloud for Apache Flink® enables users to build
streaming data pipelines for vector databases with ease, ensuring
generative AI applications have access to their organization’s most
relevant and valuable data in real time. Confluent integrates with
leading vector database vendors, such as Elastic, Pinecone,
Rockset, SingleStore, and Zilliz to further simplify and accelerate
the development of critical generative AI initiatives even
further.
More accurate real-time alerts for event-driven
applications
Flink can analyze streams of data and immediately trigger an
alert when a particular event or pattern happens in event-driven
applications. Time is often a critical part of this equation, and
Flink offers advanced windowing capabilities that give customers
control over how data is grouped for processing — for example,
analyzing transactions over a specific time period for
anomalies.
With Confluent Cloud for Apache Flink®, customers can build
next-gen event-driven applications that can analyze transaction
data and trigger alerts for faster fraud detection or help stores
better manage their inventory and share accurate delivery
times.
Faster decisions for real-time analytics
Unlike its batch counterparts, Flink can analyze real-time data
streams to generate insights and help businesses accelerate
decision-making. Flink can process massive amounts of data quickly
with low, sub-second latency, interactive queries, and advanced
pattern recognition functions.
Confluent Cloud for Apache Flink® can manage and process
billions of data points for timely movie, show, and music
recommendations and provide up-to-date information on order
volumes, popular menu items, and delivery times for food
delivery.
Confluent Cloud for Apache Flink® is now generally available on
all three major cloud service providers. Customers can sign up for
Confluent Cloud to easily access Confluent’s fully managed offering
for Flink. To help customers quickly build and deploy Flink
applications, Confluent has a global network of system integrators,
including Deloitte, Ness Digital Engineering, Somerford Associates,
Improving, Psyncopate, Platformatory, Synthesis Software
Technologies (Pty) Ltd and iLink Digital. These system integrators
can provide on-site engineering assistance and technical support to
help customers accelerate their stream processing use cases.
Additional resources
- Read the Flink GA launch blog
- Start your free trial of Confluent Cloud — No credit card
required
- Ask our Professional Services experts for faster adoption
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 backend operations. To
learn more, please visit www.confluent.io.
Confluent and associated marks are trademarks or registered
trademarks of Confluent, Inc.
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version on businesswire.com: https://www.businesswire.com/news/home/20240319709811/en/
Media Contact Natalie Mangan pr@confluent.io
Investor Contact Shane Xie investors@confluent.io
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