Google notes that the Cloud Dataproc on Kubernetes will free users from having to use two cluster management systems and will give them a single view across both YARN and Kubernetes clusters.

Google's Cloud Dataproc service exits beta Now generally available, the Cloud Dataproc service is geared toward open-source users looking to automate the management of their data clusters.

The new Google Cloud Dataproc service sits between managing the Spark data processing engine or Hadoop framework directly on virtual machines and a fully managed service like Cloud Dataflow, which ...

Google LLC is aiming to make it easier for its cloud customers to deploy and run open-source software projects such as Apache Spark via a new version, released today, of its Cloud Dataproc service ...

Google Cloud’s Dataproc – its big data platform that allows users to run Apache Hadoop and Spark jobs – is getting a boost. Apache Spark 3 and Hadoop 3 have launched general availability, enhancing ...

Google Cloud Dataproc service for Kubernetes has launched in alpha as the company seeks to bring greater efficiency to data analysis across platforms.

Google has announced a new service called Google Cloud Dataproc that aims specifically at making it faster, cheaper, and easier to manage Spark and Hadoop databases.

Though a bit late, Google finally joined the bandwagon by launching a new service called Cloud Dataproc for processing Big Data and analytics. The platform supports real-time streaming, batch ...

Cloud Dataproc offers a number of advantages over both traditional, on-premises products and competing cloud services, Google said.

Google Cloud has announced the launch of Cloud Dataproc on Kubernetes, adding another string to the bow for the product which offers a managed cloud service for running Apache Spark and Hadoop ...