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Safely expand the value of streaming data pipelines throughout your entire organization with the only governance suite purpose-built
for Apache Kafka and the intricacies of data streaming. Stream Governance establishes trust in the real-time data moving throughout
your business and delivers an easy, self-service experience for more teams to discover, understand, and put these streams to work. Breakdown expertise silos and accelerate data streaming initiatives to establish a central nervous system of real-time data within your businesswithout bypassing controls for risk management or regulatory compliance.

Deliver trusted, high-quality data
streams to the business

Increase collaboration and productivity
with self-service data discovery

Understand complex data relationships
and uncover more insights

Why Stream Governance?
With the sharp rise of real-time data, Apache Kafka®, and event-driven systems, the need for organizational governance over data
streams is growing fast. While tools for building and maintaining long-term, compatible streaming pipelines like Schema Registry havebeen available for some time, the ability to safely and easily share these streams across teams for more widespread use has not. This needis felt most by businesses deploying distributed, event-driven microservices built by small, disparate teams of data streaming experts.
Stream Governance provides businesses with a modern governance solution, built for data streaming, that allows them to operate at scalearound a central nervous system of real-time data. Individual users across teams have access to the data they need through self-service
discovery in a system with the controls required to ensure long-term data compatibility, risk management, and regulatory compliance.
When distributed teams can explore, understand, and trust data streams together, they can harness its full value. Businesses now havethe key to fostering the collaboration and knowledge sharing necessary to become an event-centric business while remaining compliant
within an ever-evolving landscape of data regulations.

Feature Pillars
Stream quality

Stream catalog

Stream lineage

Set and enforce the global rules bywhich the entire system operates inorder to control what data gets in andwhat data does not—all in the spirit ofmaintaining high data integrity

Unlock the full value within your datawith self-service discovery tools thatallow teams to classify, organize, share,
and find the high-quality data streams
they needComprehend and troubleshoot complex
data streams easily with interactive,
end-to-end lineage maps provided
with single-click export for regulatorycompliance“Running a modern bank serving fast growing enterprises requires data in motion we can trust. Schema Registry allows usto provide customers with reliable, real-time experiences for tasks like loan processing while we maintain focus on furthering
innovations. We’re excited about new discovery capabilities within Stream Governance which will enable us to expand data inmotion across teams and operate like a truly event-centric business.”— andreas piefke, head of cloud architecture, judo bank

© 2024 Confluent, Inc. | confluent.io1

Datasheet | Confluent Stream GovernanceStream quality: Deliver trusted, high-quality
data streams to the business
Confluent’s stream quality tools enable teams to deliver a scalable
supply of trusted data streams throughout the business, ensuring
reliable delivery of mission-critical applications, confident decisionmaking, and a simplified design for data standards.
Schema Registry and Schema Validation allow teams to define
and enforce universal data standards that enable scalable datacompatibility while reducing operational complexity. Schemas
can also be shared across cloud and hybrid environments thatsync in real time with Schema Linking. Avro, JSON, and Protobuf
serialization formats are all supported.

informed decisions. Historical, point-in-time insights and searchcapability across graphs simplify maintenance of mission-critical
data streams.
And with full insight into where and how their data is moving,
including single-click export of end-to-end streams, businesses
are able to ease data reporting for audit purposes and increase
visibility during procedures like workload migrations.

These tools also enable organizations to enforce Data Contracts
between upstream and downstream components and develop
resilient pipelines prepared for safe, compatible evolution overtime. And with the Schema Management UI, users can easily learn
about all schemas that exist, how they are defined, and where
they are used.

Stream catalog: Increase collaboration andproductivity with self-service data discovery
Stream Catalog allows users across teams to collaborate withina centralized, organized library designed for sharing, finding, andunderstanding the data needed to drive their projects forward
quickly and efficiently.
Built and organized through automatic metadata collection, thiscatalog includes topics, schemas, fields in schemas, clusters,connectors, and more. With custom classifications and tagging,business metadata options, and open-form entity descriptions,users can constantly increase the value of the catalog by adding
contextual, business-specific details to data and improve data
discovery throughout the entire business.
To make it easy for users to navigate the Stream Catalog, Data
Portal provides a robust, self-service UI that provides users with
an efficient means of finding, understanding, and enrichingvaluable data streams, enabling them to build and launch realtime applications faster.

Stream lineage: Understand complex data
relationships and uncover more insights
Moving forward with updates to mission-critical applications,troubleshooting production workloads, answering questions onimportant subjects like data regulation & compliance, or kicking
off a new project with sensitive data requires an easy means ofcomprehending the big picture journey of streaming data.
Stream Lineage provides a GUI of data streams and data
relationships with both a bird’s eye view and drill-down
magnification for answering questions like: Where did data
come from? Where is it going? Where, when, and how was ittransformed? When and how was a pipeline last updated? Live
metrics and metadata inspection embedded directly within
lineage graphs enable teams to learn quickly and make more

© 2024 Confluent, Inc. | confluent.ioConfidently Govern mission-critical
workloads at any scale
Essentials

Advanced

Data governance fundamentals
for getting started.

Enterprise-grade governanceand data visibility for
production workloads.

Schema Registry

Schema Registry

99.5% SLA
100 included schemas

99.99% SLA
20,000 included schemas
Data Quality Rules

Stream Catalog
Data Portal
Auto-technical metadata ingestion
Tags metadata
REST API
Stream Lineage
Real-time lineage
Live metrics & metadata inspection

Stream Catalog✓ Essentials featuresBusiness metadata
GraphQL API
Stream Lineage✓ Essentials features
Point-in-time lineage
Search the lineage graphGetting Started
Stream Governance is available fully-managed within Confluent’s
cloud-native data streaming platform, Confluent Cloud. New
sign- ups receive $400 to spend during their first 30 days—nocredit card required.
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