By
Stephen
StephenGoogle Cloud Dataproc
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 Databases category of a tech stack.
Key Features
Spin up an autoscaling cluster in 90 seconds on custom machinesBuild fully managed Apache Spark, Apache Hadoop, Presto, and other OSS clustersOnly pay for the resources you use and lower the total cost of ownership of OSSEncryption and unified security built into every clusterAccelerate data science with purpose-built clusters
Google Cloud Dataproc Pros & Cons
Pros of Google Cloud Dataproc
No pros listed yet.
Cons of Google Cloud Dataproc
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Google Cloud Dataproc Alternatives & Comparisons
What are some alternatives to Google Cloud Dataproc?
Apache Spark
Spark is a fast and general processing engine compatible with Hadoop data. It can run in Hadoop clusters through YARN or Spark's standalone mode, and it can process data in HDFS, HBase, Cassandra, Hive, and any Hadoop InputFormat. It is designed to perform both batch processing (similar to MapReduce) and new workloads like streaming, interactive queries, and machine learning.
Splunk
It provides the leading platform for Operational Intelligence. Customers use it to search, monitor, analyze and visualize machine data.
Apache Flink
Apache Flink is an open source system for fast and versatile data analytics in clusters. Flink supports batch and streaming analytics, in one system. Analytical programs can be written in concise and elegant APIs in Java and Scala.
