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Simplify real-time data movement and set data in motion with a modern messaging platform. Avoid the headaches from data coupling and a lack of fault tolerance at scale with legacy messaging middleware. Augment and modernize your existing middleware with an elastically scalable and future-proof platform, engineered for the Cloud.
Traditional messaging systems like Message Queues (MQs), Enterprise Service Buses (ESBs), and Extract, Transform and Load (ETL) tools have been widely used for decades to handle message distribution and inter-service communication across distributed applications. However, they can no longer keep up with the needs of modern applications across hybrid and multi cloud environments for asynchronicity, heterogeneous datasets and high volume throughput.
Designed as monolithic systems, they are riddled with many challenges: they lack persistence or the ability to efficiently handle highly scalable, efficient and reliable message delivery. They don’t handle the real-time interactions and in-flight stream processing that modern applications demand.
This has left organizations with significant technical debt, demanding the need for a modern approach to messaging middleware.
Confluent provides a future-proof platform, built on Apache Kafka, to stream data across hybrid and multi-cloud environments. It's infinitely scalable on-demand and is a persistent system of record. Remove operational complexity with a decoupled event-driven infrastructure so your developers can focus on building business logic faster with a rich ecosystem of connectors and sophisticated stream processing capabilities. Migrate at your own pace to a cloud-first architecture.
Transform your infrastructure to enable real-time workloads and applications. Develop new use cases with a fast time to market in days, not months.
Future-proof your data architecture to maintain high availability and performance at elastic scale. Our customers routinely use Confluent to Handle 10 Trillion+ Messages Per Day.
Start unlocking legacy data for new hybrid and multi cloud use-cases and easily migrate existing messaging workloads, at your own pace.
Cut 40-70% of your messaging costs and eliminate technical debt. Future-proof your data architecture with a cloud-ready solution.
Schema Registry allows for a common way to share clean and governed data between producers and consumers, even as your schemas evolve over time. A rich ecosystem of 120+ connectors allows you to connect IBM MQ, TIBCO, HiveMQ, RabbitMQ and ActiveMQ to third party consumer applications (Snowflake, MongoDB).
Take advantage of Kafka-native stream APIs or ksqlDB, an event streaming database which supports new event patterns including event notifications, event sourcing and event carried state storage. Work in the language of your choice including Java, C, Node.js, Ruby, Go, .NET or Python.
Tiered Storage makes storing huge volumes of data in Kafka manageable by reducing operational burden and cost. Event Sourcing easily recreates materalized views. Exactly-once semantics guarantees all messages will always be delivered exactly once. Stateful applications eliminate performance impacts from additional queries to databases.
Ensure the highest levels of availability and reliability with Cluster Linking for multi-zone and multi-region data backups. Monitor the health of your clusters, topics, and consumers in Confluent Control Center. Role-based access control (RBAC) provides multi-tenancy and enterprise scaling on a common infrastructure.
Topic partitions provide high performance, scalable and deterministic persistence. Self-Balancing Clusters and Tiered Storage deliver fully automated load balancing. Confluent for Kubernetes simplifies deployment and operations, utilizing our packaged best practices to run a secure, reliable, and production-ready data-in-motion platform.
With support for traditional messaging patterns (Point-to-point and Publish/Subscribe routing semantics) in Confluent, migrate at your own pace without business disruption. Leverage a rich connector ecosystem and applications that natively have Kafka built-in. With Usage based billing, you only pay for what you use.
Getting started is easy. Sign up today for a live demo or check out one of our whitepapers on this topic.