Amazon RDS VS Google Cloud Spanner

Database configuration - we had to modify the database configuration. This is very difficult in various database providers (like RDS) and may even not be possible. This is also not very uniform between various DB engines (like PostgreSQL and MySQL). - Source: dev.to / about 1 month ago

Amazon Database Migration Service might initially seem like a perfect tool for a smooth and straightforward migration to RDS. However, our overall experience using it turned out to be closer to an open beta product rather than a production-ready tool for dealing with a critical asset of any company, which is its data. Nevertheless, with the extra adjustments, we made it work for almost all our needs. - Source: dev.to / about 1 month ago

RDS - 750 hours per month of db.t2.micro, db.t3.micro, or db.t4g.micro, 20GB of General Purpose (SSD) storage, 20GB of storage backups. - Source: dev.to / 3 months ago

It's easy to get "database managers" and "managed databases" confused, for obvious reasons. Managed databases are a different product to database managers entirely: they are a service that hosts and maintains your database servers for you, so that you only have to worry about the data inside them. Managed databases are a great way to outsource some of your infrastructure overhead if you don't want to host database... - Source: dev.to / 3 months ago

The app can use a local PostgreSQL and has no issues using a cloud service like Amazon RDS. - Source: dev.to / 5 months ago

Multiregion is possible in Google Cloud using Cloud Spanner, which allows you to replicate the database not only in multiple zones but also in multiple regions as defined in the instance configuration. The replicas allow you to read data with low latency from multiple locations that are close to or within the region in the configuration. - Source: dev.to / 9 months ago

Basically everything I touch is in-house, but a majority of it is available publicly. For instance: https://cloud.google.com/spanner/. Source: over 1 year ago

An application that needs to handle a lot of data can use a distributed database like Cloud Spanner. Unlimited scale and you don't have to split your database into multiple tables. Source: over 1 year ago

Look at the architecture and performance of Google's Cloud Spanner, a CP system with 99.999% availability... https://cloud.google.com/spanner. Source: over 1 year ago

In my opinion, Google has built some fantastic database services like Bigtable and Spanner, which literally changed the industry for good, and I am eager to see how they will build upon this new service. With AlloyDB's disaggregated architecture, the dystopian world where I only pay for SQL databases per query and the stored data on GCP seems closer than ever. - Source: dev.to / over 1 year ago