[Demo+Webinar] New Product Updates to Make Serverless Flink a Developer’s Best Friend | Watch Now
Confluent on Google Cloud offers real-time data streaming at scale. Our platform integrates with Google Cloud services like BigQuery, Cloud ML, and TensorFlow, thus providing a strong developer platform for machine learning, AI, and real-time streaming analytics—while extending access to the fastest, most reliable Kafka service.
As a three-time Google Cloud Smart Analytics Partner of the Year, Confluent has partnered with countless enterprises and customers across industries to help them migrate and build their next-gen data stack on Google Cloud.
Hear from Greg DeMichillie, Vice President of Product & Solution Marketing at Confluent, as he describes ways organizations are setting their Data in Motion to harness the power of real-time data to improve their operations, drive innovation, and connect all the systems and functions of the modern software-defined organization together.
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.
Innovate faster, reduce risks and maximize ROI with cloud-native ease and simplicity. Confluent’s hybrid and multicloud data streaming solutions power real-time interoperability between systems, applications, and datastores on any number of on-premises and cloud environments.
Stream data from anywhere to cloud databases and build with real-time data. Connect, process, and govern mission-critical data for all of your databases.
Reduce data quality issues by up to 60%, cut compute costs by 30%, and improve engineering productivity. Use Shift Processing and Governance for your data warehouses.
According to Jay Kreps, co-founder and CEO of Confluent, “Event streaming has become a foundational layer in hybrid cloud, internet of things, and microservice architectures. The availability of Confluent Cloud as a native service on Google Cloud Platform gives developers an amazing cloud-native experience of Apache Kafka in seconds.”
By bridging Google Cloud with Confluent’s leading cloud services, you can set your data in motion with real-time access to insights. With Confluent Cloud, enterprises and developers can build and run event-driven applications in the cloud, without worrying about whether they have the data created and maintained in Kafka.
Sign up via the Google Cloud marketplace to integrate Confluent Cloud with your existing Google Cloud billing when you subscribe through the GCP marketplace.
Learn how Confluent and Google Cloud partner to scale data in motion in the cloud to make businesses run in real time.
Learn about Confluent and Google Cloud, the limitations of legacy batch processing, as well as multicloud capability with GCP integration built in.
In this webinar, learn how to leverage Confluent Cloud (a highly available Apache Kafka cloud platform with built-in enterprise-ready security, compliance, and privacy controls) and Google Cloud Platform to modernize your streaming architecture and set your data in motion.
Learn how enterprises can stream data across hybrid and multicloud environments to Google Cloud’s BigQuery, powering real-time analysis while reducing total cost of ownership and time to value.
Director of Outbound Product Management at Google Cloud, Richard Seroter, joins Confluent CEO, Jay Kreps for a conversation on multicloud, data, and lessons for rethinking your data architecture.
Découvrez comment KeyBank a créé un centre d'excellence afin d'aider les équipes à exploiter les données en mouvement avec Confluent, et de mettre les données à la disposition des systèmes bancaires.
Confluent is the intelligent connective tissue that enables real-time data to stream from multiple sources across on-prem, multicloud, and the edge—to Google Cloud.
Learn how Confluent and Google Cloud, has enabled R+F to lower costs, synchronize data during its on-prem to cloud migration, shutter its physical data center operations faster, and provide analytics teams and independent consultants with the data they need faster.
Hear from Dan Rosanova, Director of Product Management for Confluent Cloud at Confluent, as he describes a new category of data architecture called Data in Motion, that helps organizations harness the power of real time data to improve their operations, drive innovation, and connect all the systems and functions of the modern software-defined organization together.