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KRaft is the next evolution of Apache Kafka—offering a simpler, more scalable, and more resilient architecture. But migrating isn’t trivial. Confluent Cloud is the easy button for your transition, so your team can stay focused on delivering value, not firefighting infrastructure.
Don't let outdated data architectures limit your competitive potential. This isn't just critical for survival, it's the pathway to competitive dominance. Download this strategic guide now to chart your organization's journey to a proactive, data-driven future.
ISVs need data streaming to power modern applications, but building with open source Apache Kafka® adds complexity and slows innovation. This ebook explores how embedding Confluent’s enterprise-grade platform cuts time to market and reduces development overhead for building real-time products.
Real-time analytics, AI, and modern applications all depend on data streaming—but building a managed streaming service from scratch isn’t easy. As a service or technology provider, you need to deliver this capability to your customers without the complexity, cost, and risk tied to homegrown Apache Kafka®. Enter: Confluent's OEM program.
Data streaming has given businesses the ability to move data in real time, but to stay competitive, they need to transform their architecture. See how you can benefit from a framework for building a Data Streaming Organization capable of turning data streams into innovation and business value.
Confluent implements layered security controls designed to protect and secure Confluent Cloud customer data, incorporating multiple logical and physical security controls that include access management, least privilege, strong authentication, logging and monitoring, vulnerability management, and bug bounty programs.
Are you an IT leader looking to build data products that matter? In this action-oriented guide, you’ll learn a straightforward, strategic framework for quickly choosing the most valuable data products for your business—without getting bogged down in a long, costly analysis.