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Google Cloud Dataproc

A managed Spark and Hadoop service hosted on Google Cloud Platform
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What is Google Cloud Dataproc?

It is a managed Spark and Hadoop service that lets you take advantage of open source data tools for batch processing, querying, streaming, and machine learning. It helps you create clusters quickly, manage them easily, and save money by turning clusters off when you don't need them.
Google Cloud Dataproc is a tool in the Big Data Tools category of a tech stack.

Who uses Google Cloud Dataproc?

10 companies reportedly use Google Cloud Dataproc in their tech stacks, including StreamElements, Eskimi, and

24 developers on StackShare have stated that they use Google Cloud Dataproc.

Google Cloud Dataproc Integrations

Apache Spark, Hadoop, Google Cloud Storage, Google BigQuery, and Google Cloud Bigtable are some of the popular tools that integrate with Google Cloud Dataproc. Here's a list of all 6 tools that integrate with Google Cloud Dataproc.

Google Cloud Dataproc's Features

  • Spin up an autoscaling cluster in 90 seconds on custom machines
  • Build fully managed Apache Spark, Apache Hadoop, Presto, and other OSS clusters
  • Only pay for the resources you use and lower the total cost of ownership of OSS
  • Encryption and unified security built into every cluster
  • Accelerate data science with purpose-built clusters

Google Cloud Dataproc Alternatives & Comparisons

What are some alternatives to Google Cloud Dataproc?
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jQuery is a cross-platform JavaScript library designed to simplify the client-side scripting of HTML.
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Google Cloud Dataproc's Followers
27 developers follow Google Cloud Dataproc to keep up with related blogs and decisions.