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?
5 companies reportedly use Google Cloud Dataproc in their tech stacks, including Eskimi, ninjavan.co, and FutureIoT.
5 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?
See all alternatives
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.
It provides the leading platform for Operational Intelligence. Customers use it to search, monitor, analyze and visualize machine data.
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.
Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. Athena is serverless, so there is no infrastructure to manage, and you pay only for the queries that you run.
Hive facilitates reading, writing, and managing large datasets residing in distributed storage using SQL. Structure can be projected onto data already in storage.
No related comparisons found