DigitalOcean Droplets vs. Google Cloud SQL

DigitalOcean Droplets are the best choice for developers teams that need reliable Linux servers to deploy their projects, the ability to create a droplet for testing purposes then destroy it, and only get charged for the few hours used makes the chances of messing up very slim. DigitalOcean Droplets is a great solution because the servers are scalable and the process of adding more resources like CPU or RAM to an existing droplet takes only a few minutes and once a server is scaled up it can also be scaled down if necessary which is perfect for supporting a temporary peak in traffic for example.

Incentivized

Although Google Cloud SQL has room for improvement by addressing a minor lack of features, its features and services keep it high among other SQL database products. It is very fast compared to others. Since it is cloud-based, maintenance is also easier. Integration capabilities are also more than expected.

Incentivized

• Simplicity to scale services--the interface is very quick and effective to use
• Reliability--this is key for us, as any downtime effects our reputation
• Keeps the costs down--hosting our own equivalent infrastructure would cost a lot more

Incentivized

• Highly scalable without worrying about sudden transaction explosion during peak hours.
• Highly available with multiple geographical locations and regions for nearly 0 downtime to the users.
• Extremely reliable and responsive for high latency applications due to superb networking at the core.

Incentivized

• In terms of an availability zone, they have limitations not available in most of the geographical locations.
• No live support is available which can cause problem if you have outage.
• Number of service is quite limited.

Incentivized

• Increasing support for more database engines may enable a wider range of application needs to be met.
• Implementing and updating cutting-edge security features on a constant basis.
• Streamlining and enhancing the tools for transferring data to Google Cloud SQL from on-premises databases or other cloud providers.

On demand scalability helps us provision extra resources as per our requirement and load on the application. Reduced cost due to fully managed services and no need to manage underlying infrastructure which reduced time of patching and maintaining underlying infrastructure. Easy to configure as per application requirements. Supports monitoring which is not available in custom hosted database instance on own computing infrastructure

Incentivized

GCP support in general requires a support agreement. For small organizations like us, this is not affordable or reasonable. It would help if Google had a support mechanism for smaller organizations. It was a steep learning curve for us because this was our first entry into the cloud database world. Better documentation also would have helped.

Incentivized

DigitalOcean Droplets is continuously evolving to be more and more powerful. It has great features and has low cost options, which is really great for developers. Its CDN, Loadbalancer, etc. make it a good place to host a high-traffic application. Moroever, DigitalOcean Droplets has a nonprofit program that helps nonprofit sites to run their infrastructure, which is tremendous and no competitor of DigitalOcean Droplets does that.

Incentivized

Google SQL was great as a first SQL provision. It quickly enabled the apps to be built and scaled as needed for a while. It was robust and adaptable as needed and easy to export as needed when ready, depending on growth. Cost-wise, it's a good choice and requires little investment to get going.

Incentivized

• Digital Ocean has been great helping us move web apps to the cloud
• Digital Ocean has been really helpful when hiring contractors
• The interface could use some work, but overall its not terrible

Incentivized

• With managed database system, it has given us near 100% data availability
• It has also improved web layer experience with faster processing and authentication using database fields
• Google Cloud SQL also gels up well with Google Analytics and other analytics systems for us to join up different data points and process them for deeper dives and analysis

Incentivized