Redshift is massively scalable but has some limitations that we weren't willing to accept (no JSONB). It also has its own distinct flavor of SQL, and there isn't as much content online about Redshift's flavor of SQL versus postgres'. In the end, we just didn't need to kind of …
We've evaluated using [Amazon Relational Database Service (RDS)] against same-capability configurations with MySQL/MariaDB, PostgreSQL, and even Amazon Redshift (though, we haven't evaluated redshift in quite some time). Assuming RDS checks all the boxes for the requirements of …
AWS RDS provides multiple Engines as compared to Google SQL AWS RDS provides more than 5 read replicas which a Google SQL does not AWS RDS is a cheaper option than Redshift for smaller datasets. Redshift is a Dataware house and must be used for super large datasets only …
People use both RDS and Redshift and both allow you to use your traditional database over cloud. But both RDS and Redshift have their own different usages. RDS is particularly suit[ed] for Online Transaction processing systems ( OLTP) whereas, Redshift is used for analytics and …
[Amazon Relational Database Service (RDS)] is much better to have everything in the cloud instead of having it on-premise once you can get all the benefits from Cloud. Of course, it can be a bit expensive if your company it's not growing anymore but if you check it in detail, …
There really isn't a comparable service. Azure was surprisingly complicated to set up and crashed at odd points during a POC without much help. We looked at Rackspace to check it out, but as most of our infrastructure is in AWS, any benefit to Rackspace's offerings were …
Most of our stack is on AWS, so while Snowflake and BigQuery was a viable option from a performance perspective, it was easier to integrate with RedShift. We considered hosting SQL Server on AWS or using Amazon RDS (Postgres or MySQL), however, the self-service aspect of …