Confluent
Data streaming platform for real-time event-driven apps, AI, and hybrid cloud integration.
| What is it | Data streaming platform for real-time event-driven apps, AI, and hybrid cloud integration. |
|---|---|
| Pricing | Paid |
| Free tier | No |
| Platform | Web Application |
| API | Yes |
| Works with | n8n, Workato |
| Best for | building real-time event-driven applications, feeding data to AI/ML models and agents |
| Domain registered | 2014 |
Data updated Aug. 1, 2026
What does Confluent do?
Confluent is a data streaming platform built on Apache Kafka, designed to move real-time data between applications, databases, and AI systems. It replaces old point-to-point and batch pipelines with a single, unified platform that streams data as events. Companies use it to power event-driven microservices, feed real-time analytics, and deliver fresh data to machine learning models. Confluent offers both a fully managed cloud service (Confluent Cloud) and a self-managed platform (Confluent Platform) for on-premises or hybrid deployments.
The platform includes pre-built connectors for hundreds of data sources, stream processing with ksqlDB and Flink SQL, and governance tools to manage schemas, security, and compliance. Confluent's cloud-native architecture automatically manages Kafka clusters, reducing operational overhead. It also provides developer tools like MCP Server and Agent Skills to integrate with AI frameworks. Pricing is consumption-based, which can be cheaper than running open-source Kafka yourself.
Data engineers, developers, and architects use Confluent to build reliable, scalable data pipelines for applications like fraud detection, real-time customer personalization, and AI inference. It's especially useful for companies that need to synchronize data across hybrid cloud environments or feed streaming data into LLM agents. While Confluent itself isn't an AI tool, it's become essential infrastructure for companies building AI-first systems.
Key features
What makes it stand outWho is Confluent for?
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