What is Google Cloud Dataproc?

Dataproc significantly improves the efficiency, ease, and safety of processing open-source data and analytics in a cloud environment. Users can quickly establish customized OSS clusters on specially configured machines to suit their unique requirements. Whether additional memory for Presto is needed or GPUs for machine learning tasks in Apache Spark, Dataproc enables the swift creation of tailored clusters in just 90 seconds. The platform features simple and economical options for managing clusters. With functionalities like autoscaling, automatic removal of inactive clusters, and billing by the second, it effectively reduces the total ownership costs associated with OSS, allowing for better allocation of time and resources. Built-in security protocols, including default encryption, ensure that all data remains secure at all times. The JobsAPI and Component Gateway provide a user-friendly way to manage permissions for Cloud IAM clusters, eliminating the need for complex networking or gateway node setups and thus ensuring a seamless experience. Furthermore, the intuitive interface of the platform streamlines the management process, making it user-friendly for individuals across all levels of expertise. Overall, Dataproc empowers users to focus more on their projects rather than on the complexities of cluster management.

Pricing

Free Trial Offered?:
Yes

Screenshots and Video

Company Facts

Company Name:
Google
Company Location:
United States
Company Website:
cloud.google.com/dataproc

Product Details

Deployment
SaaS
Training Options
Documentation Hub
Support
Standard Support
Web-Based Support

Product Details

Target Company Sizes
Individual
1-10
11-50
51-200
201-500
501-1000
1001-5000
5001-10000
10001+
Target Organization Types
Mid Size Business
Small Business
Enterprise
Freelance
Nonprofit
Government
Startup
Supported Languages
English

Google Cloud Dataproc Categories and Features

Data Analysis Software

Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics

Big Data Software

Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates