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CAPABILITY | GOVERN
Discover, Understand, and Trust Your Data
Stream Governance provides visibility and control over the structure, quality, and flow of data across your applications, analytics, and AI.
Acertus lowers TCO and ensures data quality
Vimeo curates data products in hours, not days or weeks
SecurityScorecard protects data that matters most
Stream Governance unifies data quality, discovery, and lineage. You can create data products in real-time by defining data contracts once, and enforcing them as data is created––not after it’s batched.
How to Protect PII in Apache Kafka® With Schema Registry and Data Contracts
Dive into how you can secure sensitive data
Enforce Data Quality at the Source, not After it’s Batched
Stream Quality prevents bad data from entering the data stream.
It manages and enforces data contracts––schema, metadata, and quality rules––between producers and consumers within your private network with:
Schema registry
Define and enforce universal standards for all your data streaming topics in a versioned repository
Data contracts
Enforce semantic rules and business logic on your data streams
Schema validation
Brokers verify that messages use valid schemas when assigned to a specific topic
Schema linking
Sync schemas across cloud and hybrid environments in real time
Client-Side Field Level Encryption (CSFLE)
Protect your most sensitive data by encrypting specific fields within messages at the client level
Monitor Data Flows and Resolve Issues in Minutes
Any number of data producers can write events to a shared log, and any number of consumers can read those events independently and in parallel. You can add, evolve, recover, and scale producers or consumers—without dependencies.
Confluent integrates your legacy and modern systems:
Accelerate time-to-market with self-service access
Stream Catalog organizes data streaming topics as data products any operational, analytical, or AI system can access.
Metadata tagging
Enrich topics with business information about teams, services, use cases, systems, and more
Data portal
Allow end-users to search, query, discover, request access, and view each data product through a UI.
Data enrichment
Consume and enrich data streams, run queries, and create streaming data pipelines directly in the UI
Programmatic access
Search, create, and tag topics through a REST API based on Apache Atlas, and a GraphQL API
Future-proof your data for any environment or architecture
You can respond to changing business requirements without breaking downstream workloads for applications, analytics, or AI with:
Safe schema evolution
Add new fields, modify data structures, or update formats while maintaining compatibility with existing dashboards, reports, and ML models
Automated compatibility checking
Validate schema changes before deployment to prevent breaking downstream analytics applications and AI pipelines
Flexible migration paths
Choose backward, forward, or full compatibility modes based on your specific upgrade requirements and organizational constraints
ACERTUS utilizes Schema Registry to facilitate editing and additions to order contracts without requiring changes to the underlying code. Changes to schemas and topic data are noted in real time so once data users find the data they’re looking for, they can trust that it’s accurate and reliable.
Confluent ensures data quality and security with Stream Governance — and allows Vimeo to safely scale and share data products across their business.
"It’s amazing how much more we can get done when we don’t have to worry about exactly how to do things. We can trust Confluent to offer a secure and rock-solid Kafka platform with a myriad of value-add capabilities like security, connectors, and stream governance on top."
신규 개발자는 첫 30일 동안 $400 상당의 크레딧을 받습니다(영업 담당자 불필요).
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Apache Kafka®를 위한<br />클라우드-네이티브 서비스
Stream Governance With Confluent | FAQS
What is Stream Governance?
Stream Governance is a suite of fully managed tools that help you ensure data quality, discover data, and securely share data streams. It includes components like Schema Registry for data contracts, Stream Catalog for data discovery, and Stream Lineage for visualizing data flows.
Why is Stream Governance important for Apache Kafka?
As Kafka usage scales, managing thousands of topics and ensuring data quality becomes a major challenge. Governance provides the necessary guardrails to prevent data chaos, ensuring that the data flowing through Kafka is trustworthy, discoverable, and secure. This makes it possible to democratize data access safely.
What components are included in Confluent’s Stream Governance?
While open source provides basic components like Schema Registry, Confluent offers a complete, fully managed, and integrated suite. Stream Governance combines data quality, catalog, and lineage into a single solution that is deeply integrated with the Confluent Cloud platform, including advanced features like a Data Portal, graphical lineage, and enterprise-grade SLAs.
How is Confluent’s approach different from open source Kafka governance?
Yes. Confluent Schema Registry supports Avro, Protobuf, and JSON Schema, giving you the flexibility to use the data formats that best suit your needs.
Does Stream Governance support industry standards like Avro and Protobuf?
Yes, Confluent Stream Governance provides robust support for industry-standard data serialization formats through its integrated Schema Registry.
Schema Registry centrally stores and manages schemas for your Kafka topics, supporting the following formats: Apache Avro, Protobuf, JSON Schema.
This ensures that all data produced to a Kafka topic adheres to a predefined structure. When a producer sends a message, it serializes the data according to the registered schema, which typically converts it into a compact binary format and embeds a unique schema ID. When a consumer reads the message, it uses that ID to retrieve the correct schema from the registry and accurately deserialize the data back into a structured format. This process not only enforces data quality and consistency but also enables safe schema evolution over time.
Can I use Stream Governance on-premises?
The complete Stream Governance suite, including the Data Portal and interactive Stream Lineage, is exclusive to Confluent Cloud. However, core components like Schema Registry are available as part of the self-managed Confluent Platform.
Is Stream Governance suitable for regulated industries?
Yes. Stream Governance is suitable for regulated industries and provides the tools you need to ensure data security and compliance with industry and regional regulations. Its Stream Lineage features help with audits, allowing you to use schema enforcement and data quality rules to ensure data integrity. Across the fully managed data streaming platform, Confluent Cloud also holds numerous industry certifications like PCI, HIPAA, and SOC 2.
How can I get started with Stream Governance?
You can get started with Stream Governance by signing up for a free trial of Confluent Cloud. New users receive $400 in cloud credit to apply to any of the data streaming, integration, governance, and stream processing capabilities on the data streaming platform, allowing you try Stream Governance features firsthand.
We also recommended exploring key Stream Governance concepts in Confluent documentation, as well as following the Confluent Cloud Quick Start, which takes you through how to deploy your first cluster, product and consume messages, and inspect them with Stream Lineage.