Amazon Redshift vs. Google BigQuery vs. Amazon EMR

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Amazon Redshift

Google BigQuery

Amazon EMR







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What is Amazon Redshift?

Redshift makes it simple and cost-effective to efficiently analyze all your data using your existing business intelligence tools. It is optimized for datasets ranging from a few hundred gigabytes to a petabyte or more and costs less than $1,000 per terabyte per year, a tenth the cost of most traditional data warehousing solutions.

What is Google BigQuery?

Run super-fast, SQL-like queries against terabytes of data in seconds, using the processing power of Google's infrastructure. Load data with ease. Bulk load your data using Google Cloud Storage or stream it in. Easy access. Access BigQuery by using a browser tool, a command-line tool, or by making calls to the BigQuery REST API with client libraries such as Java, PHP or Python.

What is Amazon EMR?

Amazon EMR is used in a variety of applications, including log analysis, web indexing, data warehousing, machine learning, financial analysis, scientific simulation, and bioinformatics. Customers launch millions of Amazon EMR clusters every year.

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Amazon Redshift Pricing Google BigQuery Pricing Amazon EMR Pricing


212 Companies Using Amazon Redshift
112 Companies Using Google BigQuery
84 Companies Using Amazon EMR


Amazon Redshift Integrations
Google BigQuery Integrations
Amazon EMR Integrations

What are some alternatives to Amazon Redshift, Google BigQuery, and Amazon EMR?

  • Stitch - All your data. In your data warehouse. In minutes.
  • Snowflake - The data warehouse built for the cloud
  • Cloudera Enterprise - Enterprise Platform for Big Data
  • Alooma - Integrate any data source like databases, applications, and any API - with your own Amazon Redshift

See all alternatives to Amazon Redshift

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Moving data in real-time into Amazon Redshift – The ...
Data Compression Improvements in Amazon Redshift Bri...
Additional At-Rest and In-Transit Encryption Options...

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