Amazon Relational Database Service (RDS) vs Google Cloud BigQuery
When assessing the two solutions, reviewers found Amazon Relational Database Service (RDS) easier to use, set up, and administer. Reviewers also preferred doing business with Amazon Relational Database Service (RDS) overall.
Reviewers felt that Amazon Relational Database Service (RDS) meets the needs of their business better than Google Cloud BigQuery.
When comparing quality of ongoing product support, reviewers felt that Amazon Relational Database Service (RDS) is the preferred option.
For feature updates and roadmaps, our reviewers preferred the direction of Amazon Relational Database Service (RDS) over Google Cloud BigQuery.
Pricing
Entry-Level Pricing
Amazon Relational Database Service (RDS)
No pricing available
Google Cloud BigQuery
Free
Free
New customers get $300 in free Google Cloud credits to spend on BigQuery with free trial sign-up.
Amazon Relational Database Service (RDS) Discussions
What is Amazon Relational Database Service (RDS) used for?
2 Comments
AJ
Amazon Relational Database Service (RDS) is a cloud-based service offered by Amazon Web Services (AWS) that is used for managing and operating relational...Read more
An Amazon RDS performance best practice is to allocate enough RAM so that your working set resides almost completely in memory.
Yes, Bigquery is a GCP product and a serveless data wharehouse.Read more
How BQ legacy SQl is different form the standard SQL?
1 Comment
OD
Legacy SQL is a non-standard SQL only used by BigQuery. Standard SQL is compliant with the SQL 2011.
Google recommends using Standard SQL and looking at the...Read more
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