Confluent

What is data streaming?

Data streaming is the practice of treating information as a continuous flow of events rather than static batches. Instead of waiting for data to pile up before it’s processed, insights and actions can be triggered the moment new events occur. Apache Kafka® has become the standard technology that makes this possible.

How does data streaming work on Confluent?

Confluent takes Kafka further, rearchitecting it for the cloud. Both Confluent Cloud and Confluent Platform provide high-performance, enterprise-ready data streaming capabilities—built to scale seamlessly, reduce operations overhead, and deliver faster results. Confluent Cloud is powered by Kora, our cloud-native engine that provides autoscaling and 20-90%+ throughput savings.

How is data streaming different from traditional APIs?

Traditional APIs follow a request-response model, where apps must ask for data to receive it. Data streaming flips the model: producers continuously publish events to a central log, and consumers subscribe to whatever streams they need in real time. This event-driven approach enables more scalable, decoupled architectures.

What is a data streaming platform?

A data streaming platform enables organizations to stream data continuously in real time, connect systems across environments, process events as they happen, and govern data for reliability and compliance. It provides the foundation to power analytics, AI, and event-driven applications, all while ensuring trusted, scalable, and secure data flows across the business.

Who benefits from Confluent’s cloud-native streaming capabilities?

Organizations of all sizes—from startups to global enterprises —use Confluent to modernize their data foundations. It’s especially valuable for teams looking to build event-driven applications, leverage analytics and AI on live data, or replace brittle batch-based ETL pipelines with a more reliable, real-time approach.

What kinds of applications thrive on Confluent?

Any app that relies on fast, trustworthy data can benefit. Examples include streaming analytics dashboards, fraud detection engines, real-time personalization, cybersecurity systems, and event-driven AI like RAG or multi-agent systems. If your application needs to react instantly and reliably, Confluent provides the foundation.

What use cases does Confluent enable?

Confluent enables a wide range of industry-agnostic data streaming use cases, including: Real-time analytics and dashboards to make faster, data-driven decisions. Event-driven applications that react instantly to business events. AI and machine learning powered by fresh, contextual, and trustworthy data. Data integration across hybrid and multi-cloud environments for seamless operations. Data governance and reliability to ensure compliance and accuracy across systems. And many more. Industry-specific use cases that Confluent enables also include: Financial services: Fraud detection, risk analy

What data formats and integrations does Confluent support?

Confluent supports common formats like Avro, Protobuf, and JSON Schema through its Schema Registry, which is part of Stream Quality in Stream Governance (Confluent’s fully managed governance suite). With Confluent’s portfolio of 120+ pre-built connectors you can quickly connect to databases, data warehouses, SaaS apps, and cloud services—making it easy to integrate data across your entire ecosystem.