“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.”
“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.”
“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.”
“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.”
“Confluent, powered by our cloud-native Apache Kafka and Apache Flink services, supports a vast array of real-time use cases by acting as the central nervous system for a business's data. With Confluent, you can: Build real-time data pipelines for continuous change data capture, log aggregation, and extract-transform-load processing.”
“From highly regulated financial services and public sector organizations to fast-paced tech startups, Confluent provides the real-time data infrastructure that enables innovation and industry-specific differentiation. Confluent’s 5,000+ customers span banking, insurance, retail, ecommerce, manufacturing, healthcare and beyond.”
“A data product is a reusable, discoverable, and trustworthy data asset, delivered as a product. In the context of data in motion, a data product is typically a well-defined, governed, and reliable event stream.”
“Event-Driven Microservices: Confluent acts as the asynchronous communication backbone. Instead of making direct, synchronous calls to each other (which creates tight coupling and brittleness), services produce events to Kafka topics (e.g., OrderCreated).”
“Confluent’s library of reference architectures provides proven, repeatable blueprints for implementing common solutions with experts at Confluent and from across our partner ecosystem .”