As a three-time winner of Google Cloud’s Expertise Associate of 12 Months, this award underscores Confluent’s strong partnership with Google Cloud in helping customers address their knowledge analytics preferences—whether that means on-premises and on-premises. Whether to bridge multi-cloud knowledge architectures, modernize legacy knowledge functions and platforms, or deploy real-time analytics across your companies. With these capabilities, organizations around the world are powering richer buyer experiences and better backend operations.
Vinod Devan, Head of International, said, “Collectively, Confluent and Google Cloud help customers quickly unify knowledge, wherever they are, in a highly effective, real-time analytics and on-premises environment and For a reliable bridge to trendy, cloud programs.” Associate Ecosystem and Enterprise Improvement, Confluent. “We are honored that our strong partnership is acknowledged for the third year in a row, and are dedicated to empowering additional companies to put their knowledge into the movement.”
“We are proud to accept Confluent as our 12 months of expertise partner for good analytics,” said Kevin Ichchapurani, Company Vice President of International Associate Ecosystems at Google Cloud. “This award recognizes Confluent’s dedication to buyer success and the supply of innovative and impactful alternatives to Google Cloud in good analytics. We aim to build with Confluent and create enterprise worthy businesses for buyers with Cloud Applied Science. are ready.”
Leverage information in movement across distributed information sources and environments with an expanded library of connectors and new Anthos-ready capabilities.
Many corporations wrestle with how to engage knowledge sources spread across multiple cloud, database and hybrid environments. This typically requires custom-made connectors which can be troublesome to scale and time-consuming to manufacture and operate. Confluent partnered with Google Cloud to make it easier to connect knowledge between Confluent and the Google Cloud ecosystem.
Last year, Confluent expanded its library of 120+ pre-built connectors to include Google Cloud Storage, BigQuery, Cloud Spanner, Dataproc and Cloud Functions. Using these, enterprises can soon combine their on-premises architectures and various SaaS suppliers in the Google Cloud for extra clever machines studying usage conditions, sophisticated analytics, and real-time knowledge pipelines.
It’s easy to launch these capabilities directly from the Google Cloud Console. There is seamless integration, with Confluent, available on the Google Cloud Marketplace. Confluent cloud usage is fully added to Google Cloud payments month-to-month. This makes Confluent a fast way for the Google Cloud client to speed up your knowledge.
“We wanted to get up and running as quickly as possible, so we preferred something that could be made available soon, almost immediately,” said Chirag Dadia, Nuuli’s engineering director. “This is a huge objective as to why Confluent and Google Cloud became the plain picks for us. Having the ability to take knowledge from our Kafka cases and send it to BigQuery with Kafka Joins means that we have the ability to adapt to any new expertise in the environment. Doesn’t have to be piled up, saving a lot of precious time.”
“Confluent and Google Cloud enabled us to take over our massive database footprint and retire our legacy knowledge platform, which was in some ways our Achilles heel,” said Jason Matioda, Head of Enterprise Platforms and Information Engineering at Rodan & Fields . “Having moved to real-time streaming on a cloud-based trendy infrastructure, we will now ship new options and capabilities to our customers and know they have not been slowed down by the old structure.”
“From a specialization standpoint, we want to move forward to invest money in platforms that ship new capabilities and enhance our ability to ship faster,” said Mike Onders, government vice president, divisional chief information officer and chief information officer. Head of Enterprise Structure, KeyBank said.
“Working with Confluent and Google Cloud and investing in the center of our excellence has enabled us to democratize knowledge and differentiate programs across IT with an approach that enables enterprise-wide digital transformation to transform complexity, Reduces prices and time to market.”
Confluent for Kubernetes is now Anthos designed to allow organizations everywhere to take full advantage of knowledge. Anthos makes it possible to deploy Google Cloud’s expertise, and affiliates, on campus, across the cloud, and on the edge. Enterprises using Anthos for multi-cloud and hybrid deployments can use Confluent for Kubernetes with centralized administration through Anthos.