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.

«Para que las empresas pueden sacar la máxima rentabilidad de sus inversiones en IA, necesitan que sus datos, la IA, el análisis y la gobernanza estén en un mismo lugar. A medida que aumenta la cantidad de empresas a las que ayudamos a crear inteligencia de datos, es imprescindible que sus datos sean fiables; y eso es algo que solo se consigue eliminando los silos entre los datos operativos y los analíticos. Nos hace mucha ilusion que Tableflow haya adoptado Delta Lake y Unity Catalog como una solución de tabla abierta y de gobernanza y esperamos trabajar juntos para ofrecer valor a largo plazo a nuestros clientes».

Ali Ghodsi

Co-Founder & CEO