Level Up Your Kafka Skills in Just 5 Days | Join Season of Streaming
Unlock real-time data streaming and AI innovation with Confluent Cloud on Microsoft Azure. Through powerful integrations, Confluent’s comprehensive data-streaming platform combined with Azure’s advanced analytics and AI capabilities enables organizations to process, analyze, and act on data in motion. Together, they deliver scalable, secure solutions that drive faster insights, smarter decisions, and transformative business outcomes across cloud, on-premises, and edge environments.
Harness the power of Apache Kafka® and Apache Flink® as an integrated, cloud-native data streaming platform to drive data-driven operations, advanced analytics, and GenAI applications.
Effortlessly integrate Confluent’s complete data-streaming platform on Azure, delivering unified data streaming across on-premises and edge environments. This powerful joint solution provides real-time insights and ensures data availability wherever it’s needed.
Connect and synchronize data effortlessly with Confluent’s rich connector ecosystem on Azure. Migrate and integrate data across on-prem, multi-cloud, and Azure services to transform static data into actionable event streams that drive smarter business decisions.
Achieve scalable data processing with Confluent’s Apache Flink® integration on Azure, supporting both stateful and stateless processing without the complexity of managing open-source infrastructure. Simplify real-time data processing with a fully managed solution that enhances performance and flexibility.
Confluent’s complete data-streaming platform acts as the backbone for real-time data streaming, offering 10x the scalability, storage, and resilience of Apache Kafka® and Apache Flink®. Integrated with Azure’s Gen AI solutions and services like Synapse, CosmosDB, and Data Lake Gen 2, along with partners like Snowflake, Elastic, and MongoDB, Confluent ensures seamless data integration, driving innovation, productivity, and advanced analytics for transformative outcomes.
Discover how—with the help of Confluent’s fully managed, cloud-native platform— Michelin was able to scale their real-time inventory system to meet global demand. Not only was the manufacturer able to cut operations costs by 35%, they also freed up their teams to refocus efforts on building innovative applications and overseeing the organization’s transition to the cloud
Empowering your journey to Azure, no matter where you are.
Scale event processing on Azure to accelerate the development of real-time applications and analytics, all with lower TCO.
Seamlessly connect and migrate data across on-prem, multi-cloud, and edge environments to Azure, enabling optimized performance and cost-efficiency for each use case.
Streamline security, management, and billing with Confluent’s robust integrations with Azure Marketplace and services.
Confluent Cloud on Azure is a fully managed, cloud-native data streaming platform powered by Apache Kafka®. It enables real-time data processing and integration across Microsoft Azure services without the operational overhead of managing Kafka infrastructure. By leveraging Azure's global infrastructure, Confluent Cloud provides a scalable and reliable streaming solution that integrates seamlessly with your existing Azure environment.
Confluent Cloud offers seamless integration with various Azure services through fully managed connectors. You can connect to services like Azure Blob Storage, Azure Data Lake Storage Gen2, Azure Event Hubs, Azure Functions, and Azure Synapse Analytics. These integrations enable you to build robust data pipelines and streaming applications that interact directly with Azure resources.
Yes, when you deploy Confluent Cloud on Azure, it runs on Microsoft's cloud infrastructure, utilizing Azure's global network, security features, and compliance standards. This ensures a reliable and scalable data streaming service that integrates seamlessly with your Azure environment.
Using Confluent Cloud on Azure offers several benefits:
To set up Confluent Cloud on Azure:
Follow the step-by-step guide to set up Confluent Cloud on Azure
Confluent Cloud offers several fully managed connectors for Microsoft Azure services:
Confluent Cloud provides an Azure Event Hubs Source Connector that allows you to ingest data from Event Hubs into Kafka topics. This enables you to bridge data between Azure's event streaming service and Confluent Cloud for unified data processing.
Yes, you can integrate Confluent Cloud with Azure Functions using the Azure Functions Sink Connector. This allows you to trigger serverless functions in response to Kafka events, enabling real-time processing and event-driven architectures.
Confluent Cloud enables real-time data streaming by providing a high-throughput, low-latency platform for ingesting and processing streaming data. With integrations to Azure services like Blob Storage and Synapse Analytics, you can build end-to-end real-time data pipelines and applications on Azure.
Confluent Cloud offers robust security features:
Yes, you can deploy your Kafka clients and applications on Azure Kubernetes Service (AKS) and connect them to Confluent Cloud clusters. This allows you to build scalable, containerized applications that leverage Confluent Cloud for data streaming.
Read about connecting clients from Kubernetes to Confluent Cloud
While both Confluent Cloud and Azure Event Hubs are data streaming services, Confluent Cloud offers a complete data streaming platform powered by Apache Kafka. Key differences include:
You can migrate to Confluent Cloud using tools like Confluent Replicator or MirrorMaker 2.0. These tools allow you to replicate data from your self-managed Kafka clusters to Confluent Cloud with minimal downtime.
Yes, Confluent Cloud supports multi-zone and multi-region deployments on Azure to enhance availability and resilience. You can deploy clusters across multiple Azure regions and configure Cluster Linking for data replication.
Yes, you can integrate Confluent Cloud with Azure Logic Apps and Azure Data Factory using REST APIs or custom connectors. This enables you to automate workflows and orchestrate data movement between Confluent Cloud and Azure services.
Confluent Cloud offers a fully managed Schema Registry that allows you to manage and enforce data schemas across your Kafka topics. This ensures data compatibility and reduces errors in data processing.
Confluent Cloud uses a consumption-based pricing model, charging based on:
You can also opt for committed usage plans for discounted rates.
You can monitor your Confluent Cloud clusters using:
Yes, Confluent Cloud adheres to various compliance standards, including SOC 2 Type II, ISO 27001, GDPR, and HIPAA (with a BAA). It leverages Azure's compliance certifications to ensure data is handled securely.
Yes, Confluent Cloud supports private networking options on Azure:
Confluent Cloud automatically scales Kafka clusters based on workload. It provides features like Auto Scaling to handle varying data volumes without manual intervention, ensuring your data architecture remains robust and scalable.
To optimize performance:
Yes, by streaming data through Confluent Cloud, you can feed real-time data into Azure's AI and machine learning services like Azure Machine Learning for advanced analytics and predictive modeling.
Confluent Cloud enables hybrid and multi-cloud deployments through features like Cluster Linking. This allows you to replicate data across clusters in different regions or cloud providers, including on-premises environments.
Confluent offers various support plans, including Developer, Business, and Premier Support tiers. These provide access to Kafka experts, technical support, and SLAs to ensure your streaming applications run smoothly.
Confluent Cloud offers a free trial with usage credits to help you get started. You can sign up and begin deploying your streaming applications on Azure without initial costs.
Yes, using the Azure Data Lake Storage Gen2 Sink Connector, you can stream data from Kafka topics into Azure Data Lake Storage for big data analytics and processing.
Confluent Cloud offers features like Multi-Zone Clusters and Cluster Linking to ensure high availability and disaster recovery. Data is replicated across availability zones and regions to prevent data loss.
Yes, Confluent Cloud offers fully managed ksqlDB for stream processing using SQL syntax. You can perform real-time data transformations and analytics without managing additional infrastructure.
Confluent's Stream Governance suite ensures data quality and compliance across streaming applications. It integrates with Azure services by:
Best practices include:
Confluent Cloud ensures high availability through:
Yes, you can integrate Confluent Cloud with Azure Active Directory for Single Sign-On (SSO) using SAML. This allows you to manage user access centrally.