Confluent Data Streaming Platform

A complete data streaming platform built by the original co-creators of Apache Kafka, founded in 2014 and publicly traded on NASDAQ, delivering a cloud-native Kafka engine called Kora that provides 20 to 90 percent throughput savings, 99.99 percent uptime SLAs for production workloads, and 10x faster scaling than traditional Kafka deployments. The platform processes gigabytes-per-second workloads for enterprise customers across financial services, retail, manufacturing, and telecommunications, with documented customer outcomes including SAS achieving 69 percent cost savings by eliminating point-to-point integration pipelines, Notion powering over 100 million daily users through real-time event streams, and GEP achieving 14x improvement in predictive model performance using fresh streaming data. Core capabilities include 120-plus pre-built connectors linking databases, data warehouses, SaaS applications, and cloud services through managed integration pipelines, Apache Flink SQL for stream processing with materialized views and windowed aggregations, Schema Registry with Avro, Protobuf, and JSON Schema for contract enforcement, Tableflow for converting streaming data into queryable table formats compatible with Apache Iceberg, Cluster Linking for zero-downtime migration from existing Kafka deployments, and Stream Governance for data quality, lineage tracking, and compliance auditing. The platform supports event-driven AI applications through RAG pipelines fed by real-time context streams, multi-agent orchestration patterns, and MCP server integration for developer tooling. Security certifications include SOC 2, ISO 27001, and PCI DSS, with deployment options spanning fully managed cloud, self-managed on-premises via Kubernetes or Ansible, and hybrid configurations with unified stream management across environments.