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Data Sharing
Share well-governed streams of real time data between teams, lines of business or organizations in a secure, scalable way.
Bridge Enterprises with Fresh, Well-Governed Data Streams
Businesses need seamless data exchange with partners, suppliers, and customers to gain operational efficiency and analytical insights. However, traditional data sharing methods like flat files, APIs, and proprietary platforms present scalability, security, and vendor lock-in challenges. These limitations hinder the ability to build data-driven partnerships and unlock new revenue streams.
Confluent offers versatile data sharing patterns for various scenarios, enabling the creation of data products across organizational boundaries (both internally and externally). Organizations can confidently share well-governed streams of data in a secure, scalable way, creating deeper collaborations with partners.
Easily exchange real-time data without delays in a few clicks from Confluent to any Kafka client with Stream Sharing.
Protect your shared data with robust authenticated sharing, access management, and layered encryption controls
Trust the quality and compatibility of shared data by enforcing consistent schemas across users, teams, and organizations
Build with Confluent
This use case leverages the following building blocks in Confluent Cloud:
Reference Architecture
This architecture demonstrates 3 common patterns for data sharing with Confluent: Stream Sharing, Cluster Linking, and Kafka or REST API Client communication. Please note, a Gateway Cluster is not required for each pattern (*included for demonstrative purposes).
Enterprise-level data sharing while maintaining data sovereignty (*inter-org replication currently available from public clusters)
Topic-level access for simple external client integration. Read-only access for external partners.
Flexible integration with bidirectional communication capabilities.