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Build real-time data architectures
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Transform, analyze, and act on real-time data
Topics to tables in a few clicks
Real-time, context-aware AI
Automate business processes with AI
Choose Your Deployment
Stream smarter with our fully managed, cloud-native Apache Kafka® service
Run and manage our complete data streaming platform on-premises
Bridge on-premise control with the automation of a cloud service
Deploy a Kafka-compatible data streaming platform in your private cloud
Wherever you are in your data streaming journey, you'll find the explainer videos and tutorials you need to advance your skills here.
Learn more about our pricing structure, features and deployment options
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Use cases
Build RAG and agentic AI use cases with real-time, contextual and trustworthy data
Migrate your data and infrastructure from any Kafka source, on your terms
Learn to build event-driven microservices applications with data streaming
Control telemetry before it reaches your observability tools
Industries
General Resources
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Live upcoming sessions with our experts
Learn the core concepts of data streaming
Ensure successful outcomes with advisory and implementation services
Developer Resources
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Browse 200+ Connnectors and native integrations
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From Current to the Data Streaming World Tour to local developer meetups, you're invited to unleash your data with Confluent experts
Deployment Options
The explosion of data requires new solutions to make that data mess accessible, meaningful, and actionable. How can you bring your data together when it grows every microsecond? You keep reading.
Learn how to successfully implement a data mesh and build data products using Confluent’s data streaming platform, leveraging connectors, stream processing, and Stream Governance.
Learn how to build a data mesh on Confluent Cloud by understanding, accessing, and enriching your real-time Kafka data streams using Stream Governance. Confluent’s product team will demo the latest features and enhanced capabilities, along with showing how you can get access in a few clicks.
Olivia Greene, Confluent
David Araujo, Confluent
In this technical whitepaper, discover how Confluent's Oracle XStream CDC Connector delivers 2x-3x better performance than traditional CDC approaches. Learn architecture benefits, enterprise features, and real-world benchmarks for streaming Oracle data in real time.
Jay Kreps, CEO of Confluent and original co-creator of Apache Kafka, shows how logs work in distributed systems, and provides practical applications of these concepts.
Frustrated by data chaos & lagging insights? Download this report to explore research findings from 400+ data professionals surveyed on persistent data challenges, data landscape trends, and emerging approaches to boost data quality, lower costs, and modernize data architectures.
Shoe retail titan NewLimits is drowning in stale, inconsistent data due to nightly batch jobs that keep failing. Read the comic to see how developer Ada and architect Jax navigate through Batchland with Iris, their guide, and enter Streamscape and the realm of event-driven architectures.
ELT pipelines create duplicate datasets and costs. A “shift left” offers a better approach. We'll explore best practices to make data accessible across operational, analytical, and hybrid systems using data primitives such as streams, tables, schemas, and Apache Iceberg.
This white paper outlines the integration of Confluent Enterprise with the Microsoft Azure Cloud Platform.
This reference architecture documents the MongoDB and Confluent integration including detailed tutorials for getting started with the integration, guidelines for deployment, and unique considerations to keep in mind when working with these two technologies.
This brief describes a modern data architecture with Kafka and MongoDB