Confluent

Provides a data streaming platform based on Apache Kafka that replaces point-to-point, batch and streaming pipelines with a unified system for building real-time data architectures, integrating data sources, governing data quality, and processing streams for analytics and AI use cases. Serves developers, data practitioners, operations and IT teams in businesses that need real-time data for microservices, CDC pipelines and AI applications. Delivered as a fully managed cloud-native service, self-managed on-premises platform, private cloud and Kafka-compatible WarpStream deployment.

Key features

• Build real-time data architectures
• Integrate data ecosystem via connectors
• Govern streams and data quality
• Transform and analyze real-time data
• Convert topics to tables (Tableflow)
• Real-time context-aware AI
• Automate processes with streaming agents
• Shift left analytics to Iceberg/Delta Lake
• Build RAG and agentic AI use cases
• Build event-driven microservices
• Build CDC pipelines