Learn the benefits of setting your data in motion through IT modernization, leveraging real-time event processing and fraud detection, and optimizing SIEM. Plus, find out how you can streamline billing, enhance security, and supercharge your customer experiences and backend operations simply by accessing Confluent’s cloud-native solution on Google Cloud Marketplace.
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Set your data in motion with Confluent on Google Cloud
Discover Confluent’s powerful cloud-native, complete data streaming platform, powered by the Kora Engine, to deliver elastic, resilient, cost efficient, and performant event streaming capabilities. The platform lets companies stream, connect, process, govern, and share their data, unlocking their data’s full potential by making it easily accessible and actionable in real time.
Why choose Confluent and Google Cloud?
With just a few clicks, Confluent’s solution enables companies to easily extract data from any source and seamlessly integrate into top-tier Google Cloud services such as BigQuery, Cloud Storage, Cloud SQL, Dataflow, and Vertex A.I. This empowers organizations to easily develop cutting-edge machine learning, artificial intelligence, and analytics solutions. Plus, it offers a real-time contextualization layer for customers using Google Cloud’s LLM and generative A.I. capabilities, made possible through Confluent’s deep integration with BigQuery. With Confluent’s cloud-native platform, developers can devote more time to building applications and less time managing the operational overhead of open-source Kafka.
75%
Accelerate your application development time
60%
Lower total cost of ownership (TCO) by
99.999%
uptime SLA
Over 1M+
hours of Kafka experience
<6 months
Go-to-market (vs 2 years)
Setting Data in Motion: How Real-Time Data is Driving Business Success
Listen to Greg DeMichillie, Vice President of Product & Solution Marketing at Confluent, as he discusses how organizations are leveraging real-time data to enhance their operations, foster innovation, and unify all the systems and functions of modern software-defined organizations. Discover how organizations are setting their Data in Motion to harness the power of real-time data and drive business success.
Learn how Confluent can help your business
Discover how BigCommerce saved 20 hours a week in Kafka management and achieved 99.99% uptime SLA by transforming their data streaming infrastructure from a time-consuming, self-managed system to a cloud-native, fully managed platform with Confluent Cloud.
Say goodbye to the operational burdens of self-support and embrace a more complete solution that sets your data in motion effortlessly, ensuring your organization stays focused on what truly matters. Discover how Confluent can help your organization streamline its data streaming needs.
Trusted by Leading Organizations
“Since moving from a monolithic architecture to an event-driven architecture with Confluent, our queueing system is incredibly stable, and the reliability and availability of the Confluent solution is top-notch.”
“When it comes to batch processing versus stream processing, both of them work. But one is a much more efficient way of doing it. A lot of the cost savings over the last twelve months has come from moving into a more efficient way of developing applications with stream processing.”
“From a technology perspective at KeyBank, we want to continue to invest in new platforms that deliver new capabilities and improve our ability to deliver faster. When we saw the demand for harnessing data in motion growing, working with Confluent and investing in our center of excellence enabled us to implement a solution in a way that best benefits the enterprise by reducing complexity, costs, and time to market.”
“Confluent and Google Cloud enabled us to address our large database footprint and retire our legacy data platform, which was in many ways our Achilles’ heel. After moving to real-time streaming on a cloud-based modern architecture, we can now deliver new features and capabilities to our customers and know that they won’t be slowed by an outdated architecture.”
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