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Google Bigdata
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Google Bigdata

Overview
Synopsis

Google Cloud Platform leads the industry in the ability to let you analyze data at the scale of the entire web, with the familiarity of SQL and in a fully managed, serverless architecture where backend infrastructure is fully handled on your behalf.

Category

Bigdata Platform

Features

Fully Managed, Serverless Insight
Fast Queries on Petabyte-scale Datasets
Unified Batch and Stream Processing
Spark and Hadoop in the Cloud
Managed Databases, Object Storage and Archival

License

Proprietary Software

Price

Contact for Pricing

Pricing

Subscription

Free Trial

Available

Users Size

Small (<50 employees), Medium (50 to 1000 employees), Enterprise (>1001 employees)

Company

Google Bigdata

PAT Rating™ ( Beta)
Editor Rating
Aggregated User Rating
Rate Here
Ease of use
7.6
8.4
Features & Functionality
7.6
8.4
Advanced Features
7.6
8.4
Integration
7.6
Performance
7.6
Training
Customer Support
7.6
Implementation
Renew & Recommend
Bottom Line

BigQuery is Cloud Platform’s fully managed data warehouse that lets you economically query massive volumes of data at speeds one would expect from Google.

7.6
Editor Rating
8.4
Aggregated User Rating
1 rating
You have rated this

Google Bigdata provides Analytics and machine intelligence at web-scale when it comes to managing company’s big amount of data. It works on highly unstructured and raw data and makes them efficient for operations. Google Cloud Platform leads the industry in the ability to let its users analyze data at the scale of the entire web, with the familiarity of SQL and in a fully managed, server less architecture where backend infrastructure is fully handled on behalf of the business. Google Bigdata analytics products are able to scale automatically while users focus only on the business insight that needs to be uncovered. Google Bigdata’s BigQuery is Cloud Platform’s fully managed data warehouse that lets the business economically query massive volumes of data at speeds one would expect from Google. On the other hand, the Cloud Dataflow is an innovative, fully managed service for developing and executing a wide range of data processing patterns including ETL, batch computation, and continuous computation. Express computation with no switching cost as the company use a single tool and programming model for both batch and continuous stream processing flows.Companies standardized on great open source tools including Spark, Hadoop/MapReduce, Hive, and Pig, will find a natural transition in Cloud Dataproc. Users don’t need to worry about their data pipelines outgrowing clusters as Dataproc lets them create and resize clusters quickly at any time. Its per-minute billing ensures that users only pay for what they use, and they can spin down to zero when their analysis completes.

Google has led the industry with innovations in data processing technologies such as MapReduce, Bigtable, and Dremel. Google is also making the latest generation of its data processing tools available to everyone, including industry leading programming tools and programming models.

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Ease of use
Features & Functionality
Advanced Features
Integration
Performance
Training
Customer Support
Implementation
Renew & Recommend

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