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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.

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How to Protect PII in Apache Kafka® With Schema Registry and Data Contracts

Dive into how you can secure sensitive data

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What Can You Do With Stream Governance?

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

A Stream Quality diagram, depicting how Confluent Cloud users can apply data contracts and manage schema for Kafka topics using Schema Registry

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:

A graphic visualization of Stream Catalog, a component of Confluent’s Stream Governance suite, which allows you to use Data Portal to tag data and make it discoverable

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.

A graphic visualization of Stream Lineage, a component of Confluent’s Stream Governance suite that allows you to map and track data from source to destination, inspect data lineage, and analyze historical performance and impact of potential changes to data pipelines

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:

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

Why Confluent image Spanish
How Do Our Customers use Stream Governance?
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  • Azerbaiyán
  • Bahamas
  • Bahrein
  • Bangladesh
  • Barbados
  • Bélgica
  • Belice
  • Benin
  • Bermudas
  • Bhután
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  • Bonaire, San Eustaquio y Saba
  • Bosnia y Herzegovina
  • Botswana
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  • Brunei Darussalam
  • Bulgaria
  • Burkina Faso
  • Burundi
  • Cabo Verde
  • Camboya
  • Camerún
  • Canadá
  • Chad
  • Chile
  • China
  • Chipre
  • Colombia
  • Comoras
  • Congo
  • Congo (República Democrática del)
  • Costa de Marfil
  • Costa Rica
  • Croacia
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  • Dinamarca
  • Djibouti
  • Dominica
  • Ecuador
  • Egipto
  • El Salvador
  • Emiratos Árabes Unidos
  • Eritrea
  • Eslovaquia
  • Eslovenia
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  • Estados Unidos
  • Estonia
  • Etiopía
  • Fiji
  • Filipinas
  • Finlandia
  • Francia
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  • Gambia
  • Georgia
  • Georgia del Sur y las Islas Sandwich del Sur
  • Ghana
  • Gibraltar
  • Granada
  • Grecia
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  • Guatemala
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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.