Fuel AI with Trustworthy, Real-time Data Products

Confluent’s data streaming platform connects every corner of your business with Databricks in real time through open table formats to power highly contextualized AI and analytics at scale.

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Build real-time data products at a lower cost

Stream, connect, process, and govern all your data and lower the total cost of ownership (TCO) for open source data streaming by up to 60%.

Multi Cloud

Confluent Cloud provides fully managed, cloud-native Apache Kafka® on AWS, Azure, and Google Cloud across 100+ regions

Hybrid Streaming

Deploy Confluent Platform for on-premise and private cloud workloads

120+ Sources

Connect Databricks with every app and data system that runs your business

Apache Flink®

Effortlessly enrich, join, and filter your data with simple, serverless stream processing

Stream Governance

Discover, understand, and trust data streams with governance for data in motion

Represent Kafka topics as Delta Lake tables with ease (EA, AWS)

Access data streams through Delta Tables with Tableflow, providing low latency data movement across operational and analytical environments.

Tableflow

Convert Kafka topics and associated schemas into ready-to-use, open format tables including Delta tables and Apache Iceberg® with just a few clicks

Develop a real-time data foundation for AI

Power AI applications and workloads running on Databricks Mosaic AI with a trusted, always-up-to-date understanding of the business.

Data Streaming for AI

Tap into continuously enriched, governed data streams representing your entire business to quickly build and scale AI initiatives

Databricks Mosaic AI

Build and deploy production-quality AI agent systems fueled by Delta table and Confluent data streams

Deploy an AI strategy that bridges the operational and analytical divide

Together, Confluent and Databricks break down data silos, enabling governed, bi-directional, real-time data movement across both operational (apps, events, telemetry, etc.) and analytical environments.

"기업이 AI 투자 수익을 극대화하려면 데이터, AI, 분석, 거버넌스를 모두 한곳에 모아야 합니다. 더 많은 조직에서 데이터 인텔리전스를 구축할 수 있도록 지원하는 가운데, 신뢰할 수 있는 엔터프라이즈 데이터는 무엇보다 중요하며, 이를 위해서는 운영 데이터와 분석 데이터 간의 사일로를 없애는 것이 필수적입니다. Tableflow가 Delta Lake와 Unity Catalog를 개방형 테이블 및 거버넌스 솔루션으로 채택한 것을 기쁘게 생각하며, 고객에게 장기적인 가치를 제공하기 위해 협력할 수 있기를 기대합니다."

Ali Ghodsi

공동 창립자 겸 CEO