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Build a Hybrid Data Pipeline with Confluent
Power business applications with Confluent Cloud and Azure solutions (SQL Data Warehouse, Cosmos DB, Azure Data Lake Storage and more)
Build a persistent bridge from on-premises Azure with Confluent Replicator
Problem: Public cloud providers offer hundreds of infrastructure service options, making it a challenging and time consuming task to efficiently provision enterprise ready Apache Kafka clusters in the cloud. Teams need to ensure cloud infrastructure (ie. compute, network, storage, and availability) is optimized to meet Kafka requirements, which can delay app development teams for months with cumbersome trial and error performance testing. Additionally, if you are concerned about vendor lock-in or considering a multi-cloud strategy, variations across each cloud platform make the cluster migration or replication process even more painful since your IT team will need to re-architect, re-design, and re-test with each cloud provider.
Problem: The process of requesting additional budget to purchase new technologies can be a long and cumbersome process that requires navigating through multiple layers of approval (ie. legal, operations, and finance). This could potentially result in delayed projects and delay innovation due to wasted time on navigating internal processes. Confluent allows you to:
Problem: In order to realize the full value of event streaming, you'll need to integrate Kafka to other best-of-breed cloud service tools. When self-managing Kafka, this can be an unwieldy task that requires your development team to write point-to-point custom code since there are no native integrations. Developers and organizations spend time building and maintaining scripts rather than bringing apps to market quickly. Confluent solves this by enabling you to:
Ensure clusters are available and consistent across cloud vendors
Simplify procurement via integrated billing through cloud marketplaces
Leverage pre-built connectors to kickstart event streaming initiatives
Integrated billing and direct access to Confluent via AWS, Azure, and Google Cloud marketplaces
Quickly connect Kafka to top AWS, Azure, and GCP services
Ensure high-availability, protect against service disruptions, and experience lower latency globally
How do you keep the costs of running Kafka low and your best people focused on critical projects driving competitive advantage and revenue?
How do you efficiently scale Kafka storage to make sure you can retain as much data as you need - without pre-provisioning storage you don't use?
How do you distribute real-time events across the globe and make them accessible from anywhere?