Unlock real-time data streaming and AI innovation with Confluent and Google Cloud. Through powerful integrations, Confluent’s complete data-streaming platform and Google Cloud’s advanced analytics and AI capabilities empower 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 Google Cloud, delivering unified data streaming across on-premises, Google Cloud, 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 Google Cloud. Migrate and integrate data across on-prem, multi-cloud, and Google Cloud 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 Google Cloud, 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.
Ensure your data in motion is secure, compliant, and easily accessible with Confluent’s data streaming governance suite on Google Cloud. Together, we deliver a trusted, self-service environment that meets regulatory standards and enhances control over your data’s lifecycle.
Our commitment to cloud innovation and partnership with Google Cloud earned us validation across key areas, with solution badges for BigQuery, AlloyDB, Cloud SQL, and more.
Google Cloud customers can accelerate their adoption of Apache Kafka® with effortless deployment options with either one of Confluent’s products. They can also quickly connect to industry-leading analytics with pre-built and fully managed integrations to Google Cloud’s most popular analytics services.
Empowering your journey to Google Cloud, no matter where you are.
Scale event processing on Google Cloud 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 Google Cloud, enabling optimized performance and cost-efficiency for each use case.
Streamline security, management, and billing with Confluent’s robust integrations with Google Cloud Marketplace and services.
Confluent Cloud on GCP is a fully managed, cloud-native data streaming platform powered by Apache Kafka®. It enables real-time data processing and integration across Google Cloud services without the operational overhead of managing Kafka infrastructure. By leveraging GCP's global infrastructure, Confluent Cloud provides a scalable and reliable streaming solution that integrates seamlessly with your existing GCP environment.
Confluent Cloud offers seamless integration with various Google Cloud services through fully managed connectors. You can connect to services like Google BigQuery, Google Cloud Storage, Google Cloud Pub/Sub, Google Cloud Spanner, and Google Bigtable. These integrations enable you to build robust data pipelines and streaming applications that interact directly with GCP resources.
Yes, when you deploy Confluent Cloud on GCP, it runs on Google Cloud's infrastructure, utilizing Google's global network, security features, and compliance standards. This ensures a reliable and scalable data streaming service that integrates seamlessly with your GCP environment.
Using Confluent Cloud on GCP offers several benefits:
To set up Confluent Cloud on GCP:
Follow the step-by-step guide to set up Confluent Cloud on GCP
Confluent Cloud offers several fully managed connectors for Google Cloud services:
Confluent Cloud provides a fully managed Google BigQuery Sink Connector that allows you to stream data from Kafka topics directly into BigQuery tables. This enables real-time analytics and insights using BigQuery's powerful querying capabilities.
Yes, you can integrate Confluent Cloud with Google Cloud Dataflow to perform real-time data processing and transformations. Dataflow provides connectors and IO transforms for Apache Kafka, allowing you to consume data from or produce data to Confluent Cloud.
Confluent Cloud enables real-time data streaming by providing a high-throughput, low-latency platform for ingesting and processing streaming data. With integrations to Google Cloud services like BigQuery and Cloud Storage, you can build end-to-end real-time data pipelines and applications on GCP.
Confluent Cloud offers robust security features:
Yes, you can deploy your Kafka clients and applications on Google Kubernetes Engine (GKE) 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 Google Cloud Pub/Sub are messaging services, Confluent Cloud offers a complete data streaming platform powered by Apache Kafka. Key differences include:
Yes, Confluent Cloud supports multi-zone and multi-region deployments on GCP to enhance availability and resilience. You can deploy clusters across multiple GCP regions and configure Cluster Linking for data replication.
Yes, you can integrate Confluent Cloud with Google Cloud Functions and Cloud Run to build serverless, event-driven architectures. Use Kafka client libraries within your functions to produce or consume messages from Confluent Cloud.
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 GCP's compliance certifications to ensure data is handled securely.
Yes, Confluent Cloud supports private networking options on GCP:
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 GCP's AI and machine learning services like Vertex AI 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 GCP without initial costs.
Yes, Confluent Cloud provides connectors for both Google Bigtable and Google Cloud Spanner. These connectors allow you to stream data into these databases for scalable storage and real-time data access.
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 GCP services by:
Best practices include:
Confluent Cloud ensures high availability through:
While Confluent Cloud doesn't directly integrate with Google Cloud IAM, you can use Single Sign-On (SSO) with identity providers that support SAML or OAuth 2.0. Access within Confluent Cloud is managed using Role-Based Access Control (RBAC).
Confluent Cloud is fully compatible with Apache Kafka clients. You can use existing Kafka producers and consumers to connect to your Confluent Cloud clusters on GCP with minimal configuration changes.
You need:
Confluent Cloud can be integrated with Google Cloud Data Fusion to build scalable data pipelines. Use Kafka connectors within Data Fusion to read from or write to Confluent Cloud.
Yes, Confluent Cloud enables event-driven architectures by integrating with GCP services like Cloud Functions, Cloud Run, and Pub/Sub. You can build responsive applications that react to real-time data events.
Yes, using the Google Cloud Storage Sink Connector, you can stream data from Kafka topics into Cloud Storage buckets for archival or batch processing.
Confluent Cloud can integrate with Google Cloud SQL using JDBC Sink and Source connectors. This allows you to read data from or write data to Cloud SQL databases.