Amazon Redshift vs Google BigQuery vs Snowflake

Amazon Redshift

1.1K
860
+ 1
94
Google BigQuery

906
737
+ 1
125
Snowflake

369
403
+ 1
5
Pros of Amazon Redshift
Pros of Google BigQuery
Pros of Snowflake
Cons of Amazon Redshift
Cons of Google BigQuery
Cons of Snowflake
    No cons available
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      What is Amazon Redshift?

      It is optimized for data sets 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 Snowflake?

      Snowflake eliminates the administration and management demands of traditional data warehouses and big data platforms. Snowflake is a true data warehouse as a service running on Amazon Web Services (AWS)—no infrastructure to manage and no knobs to turn.
      What companies use Amazon Redshift?
      What companies use Google BigQuery?
      What companies use Snowflake?
      What tools integrate with Amazon Redshift?
      What tools integrate with Google BigQuery?
      What tools integrate with Snowflake?
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      How much does Amazon Redshift cost?
      How much does Google BigQuery cost?
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