Google Cloud Dataproc

Google Cloud Dataproc

Google Cloud Dataproc is a fast, easy-to-use, fully-managed cloud service for running Apache Spark and Apache Hadoop clusters in a simple, cost-efficient way.
Google Cloud Dataproc image
hadoop spark big-data analytics

Google Cloud Dataproc: Fast Managed Spark & Hadoop Clusters

A fast, easy-to-use fully-managed cloud service for running Apache Spark and Apache Hadoop clusters in a simple cost-efficient way.

What is Google Cloud Dataproc?

Google Cloud Dataproc is a fast, easy-to-use, fully-managed cloud service for running Apache Spark and Apache Hadoop clusters. Key features include:

  • Fully managed - no need to manually install, configure, or tune Apache Spark and Apache Hadoop clusters
  • Fast cluster creation - clusters spin up in 90 seconds or less so you can quickly execute jobs when you need them
  • Autoscaling - clusters scale up and down based on your job requirements to optimize both cost and performance
  • Integration with tools - native integration with BigQuery, Cloud Dataflow, Cloud Storage, Cloud Pub/Sub, and more. Enables complete data pipeline creation, optimization, and management
  • Enterprise grade security and governance - take advantage of Google Cloud's industry leading security technology and capabilities

With Google Cloud Dataproc you can create Spark and Hadoop clusters to match your data processing needs. It enables on-demand, serverless big data analytics that is highly scalable, secure, and cost-efficient. Integrates natively with other Google Cloud services for building complete data solutions.

Google Cloud Dataproc Features

Features

  1. Managed Spark and Hadoop clusters
  2. Integrated with other GCP services
  3. Autoscaling clusters
  4. GPU support
  5. Integrated monitoring and logging

Pricing

  • Pay-As-You-Go

Pros

Fast and easy cluster deployment

Fully managed so no ops work needed

Cost efficient

Integrates natively with other GCP services

Cons

Only supports Spark and Hadoop workloads

Less flexibility than DIY Hadoop cluster

Lock-in to GCP


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