Dataproc is a fully managed and highly scalable service for running Apache Hadoop, Apache Spark, Apache Flink, Presto, and 30+ open source tools and frameworks. Use Dataproc for data lake modernization, ETL, and secure data science, at scale, integrated with Google Cloud, at a fraction of the cost.
Open: Run open source data analytics at scale, with enterprise grade security
Flexible: Use serverless, or manage clusters on Google Compute and Kubernetes
Secure: Configure advanced security such as Kerberos, Apache Ranger and Personal Authentication
Cost-effective: Realize 54% lower TCO compared to on-prem data lakes with per-second pricing
Whether you need VMs or Kubernetes, extra memory for Presto, or even GPUs, Dataproc can help accelerate your data and analytics processing through on-demand purpose-built or serverless environments.
Serverless deployment, logging, and monitoring let you focus on your data and analytics, not on your infrastructure. Reduce TCO of Apache Spark management by up to 54%. Enable data scientists and engineers to build and train models 5X faster, compared to traditional notebooks, through integration with Vertex AI Workbench. The Dataproc Jobs API makes it easy to incorporate big data processing into custom applications, while Dataproc Metastore eliminates the need to run your own Hive metastore or catalog service.
Build your Apache Spark jobs using Dataproc on Kubernetes so you can use Dataproc with Google Kubernetes Engine (GKE) to provide job portability and isolation.
When you create a Dataproc cluster, you can enable Hadoop Secure Mode via Kerberos by adding a Security Configuration. Additionally, some of the most commonly used Google Cloud-specific security features used with Dataproc include default at-rest encryption, OS Login, VPC Service Controls, and customer-managed encryption keys (CMEK).
Dataproc lets you take the open source tools, algorithms, and programming languages that you use today, but makes it easy to apply them on cloud-scale datasets. At the same time, Dataproc has out-of-the-box integration with the rest of the Google Cloud analytics, database, and AI ecosystem. Data scientists and engineers can quickly access data and build data applications connecting Dataproc to BigQuery, Vertex AI, Cloud Spanner, Pub/Sub, or Data Fusion.