Product Datasheet

Confluent Cloud for Apache Flink®
Why Confluent Cloud for Apache Flink?
Data streaming reimagines how data is made available within
an organization, continuously ingesting, processing, governing,and sharing data as a product that is instantly available, usable,
and trustworthy everywhere. Stream processing plays a criticalrole in the infrastructure stack for data streaming by enabling

Simple, Serverless Stream
Processing

developers to filter, join, aggregate, and transform data on-Stream processing acts as the compute layer for Apache

Traditional batch-oriented processing downstream of KafkaKafka®, enabling teams to combine and reshape their data
streams in-flight to power real-time applications and pipelines.
Apache Flink® is the stream processor of choice for many of
the world’s largest real-time systems and is used by innovative
companies like AirBnB, Uber, Netflix, and TikTok to support
mission-critical streaming workloads.

the-fly, making it more usable for downstream systems andapplications.

cannot achieve the same outcomes. It leads to applications built
on stale and inconsistent data, requiring expensive, inefficient,and redundant processing to clean and enrich data for eachdownstream system and application. Although Apache Flink
is widely recognized for its performance and rich feature set
among stream processing frameworks, self-managing Flink

With Confluent Cloud for Apache Flink, customers can easily(like Kafka) can be challenging due to operational complexity, abuild high-quality, reusable data streams with the industry’s

steep learning curve, and high costs for in-house support.

only cloud-native, serverless Apache Flink service, fully
integrated with Apache Kafka on Confluent Cloud across all
three major clouds.
In addition, Confluent Platform for Apache Flink®, currently
in Limited Availability, allows you easily leverage stream
processing for on-prem or private cloud workloads with support
from the Flink experts.

Confluent Cloud for Apache Flink offers a cloud-native,
serverless Flink service for processing data in-flight andcreating high-quality, reusable streams in real time. Effortlessly
filter, join, and enrich data streams with Flink, the industryleading stream processing framework, at any scale withzero ops burden, and experience Kafka and Flink as a unified
platform with integrated monitoring, security, and governance.

Effortlessly filter, join, and enrich your data
streams with Flink, the de facto standard for
stream processing
Enable high-performance and efficient
stream processing at any scale, without any
operational burden
Experience Apache Kafka and Apache Flinkseamlessly integrated as a complete, unifiedplatform© 2024 Confluent, Inc. | Confluent.io1

Product Datasheet

Effortlessly filter, join, and enrich yourdata streams with Flink, the de facto
standard for stream processing

Experience Apache Kafka and Apache
Flink seamlessly integrated as acomplete, unified platform

Real-time Processing

Enterprise-grade Security

Power low-latency applications and pipelines that react toSecure stream processing with built-in identity and accessreal-time events and provide timely insights

management, RBAC, and audit logs

Data Reusability

Stream Governance

Share consistent and reusable data streams widely withEnforce data policies and avoid metadata duplication

downstream applications and systems

leveraging native integration with Stream Governance

Data Enrichment

Monitoring

Curate, filter, and augment data on-the-fly with additional

Ensure the health and uptime of your Flink queries in thecontext to improve completeness, accuracy, and complianceConfluent UI or via third-party monitoring services

Efficiency

Connectors

Improve resource utilization and cost-effectiveness by

Connect to and from any app & system with 70+ pre-built,

avoiding redundant processing across silos

fully managed connectors.

Enable high-performance and efficient
stream processing at any scale, without
any operational burden
Fully Managed
Easily develop Flink applications with a serverless, SaaSbased experience instantly available and without ops burden

Elastic Scalability
Automatically scale up or down to meet the demands of the“Stream processing is critical for identifying andprotecting against security risk in real time. WithConfluent’s fully managed Flink offering, we canaccess, aggregate, and enrich data from IoT sensors,
smart cameras, and Wi-Fi analytics, to swiftly takemost complex workloads without overprovisioning

action on potential threats in real time, such as

Usage-based Billing

data as soon as the events occur, allowing for faster

Pay only for resources used instead of infrastructure

detection and response to security incidents without

provisioned, with scale-to-zero pricing

any added operational burden.”Continuous, No-touch Updates

intrusion detection. This enables us to process sensor

Vinay Krishna Patnana | Engineering Manager at Cisco Meraki

Build on an always up-to-date platform with declarative,
versionless APIs and interfaces, backed by a 99.99% SLA© 2024 Confluent, Inc. | Confluent.io2