Amazon Redshift vs. Google BigQuery vs. Xplenty

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Amazon Redshift

Google BigQuery

Xplenty

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Description

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 Xplenty?

Read and process data from cloud storage sources such as Amazon S3, Rackspace Cloud Files and IBM SoftLayer Object Storage. Once done processing, Xplenty allows you to connect with Amazon Redshift, SAP HANA and Google BigQuery. You can also store processed data back in your favorite relational database, cloud storage or key-value store.

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Pricing

Amazon Redshift Pricing Google BigQuery Pricing Xplenty Pricing

Companies

212 Companies Using Amazon Redshift
112 Companies Using Google BigQuery
2 Companies Using Xplenty

Integrations

Amazon Redshift Integrations
Google BigQuery Integrations
Xplenty Integrations

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

  • Amazon EMR - Distribute your data and processing across a Amazon EC2 instances using Hadoop
  • 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

See all alternatives to Amazon Redshift

Latest News

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Moving data in real-time into Amazon Redshift – The ...
Data Compression Improvements in Amazon Redshift Bri...


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