[Workshop] Stream Processing Made Easy With Flink | Register Now
Draw from the experience of over 5,000 Confluent customers and kick-start your data streaming journey across a wide variety of use cases.
Share high-quality, ready-to-use data products across all your systems and applications so they can react and respond instantly to everything that happens in your business.
Stream high-fidelity, curated data, in real time across your operational systems, analytical systems, and SaaS applications.
Build a new class of event-driven microservices and custom applications that are highly scalable, contextually aware and resilient in design.
Break the data gridlock. Share well-formatted data products in real time across your enterprise and ecosystem to build connected experiences, ramp up business efficiencies and pave the way for innovation.
Engage your customers in the most meaningful ways in real time. Hyper-personalize experiences at every touch point with an ultimate data streaming platform for all your customer data.
Whether it’s automating insights, making contextual decisions or improving the agility and connectedness of your operations, power your business just in time with real-time data streams.
Realize the promise of new monetization opportunities and revenue streams. Simplify the mechanics of secure real-time data sharing to build innovative new products and services.
Explore how you can turn data into tangible products that drive immediate value and serve a variety of use cases in your industry.
Mitigate fraud and cyber risk, modernize real-time payment architectures, and improve customer loyalty
Optimize omni-channel experiences, manage inventory in real time, and boost customer engagement with dynamic personalized offers
Build a real-time supply chain, enhance plant productivity, and improve production quality and predictability
Complement your existing data investments with Confluent and push trusted data across your entire stack in real time.
New signups receive $400 to spend during their first 30 days.