DigitalOcean vs. Azure SQL Database

DigitalOcean is a powerful tool with respect to the services and pricing that it offers. It is easier than other products and also provides servers that are inexpensive with great performance. DigitalOcean also offers additional add-ons such as additional IP addresses, scheduling of backups, etc. One of the best advantages is that it is efficient and is open source. Although, it is suited for a firm that is looking to cut down cost. Also, it is not suited for an organization where the dev/platform/DBA team is less experienced.

Incentivized

Your upcoming app can be built faster on a fully managed SQL database and can be moved into Azure with a few to no application code changes. Flexible and responsive server less computing and Hyperscale storage can cope with your changing requirements and one of the main benefits is the reduction in costs, which is noticeable.

Incentivized

• Ease of use - You can get set up with a new server in a matter of minutes. It doesn't get any easier than that.
• Support - The public forums are incredibly helpful as are the official help articles. I've never needed to contact the support team because of this. All of the information is at my fingertips.
• Pricing - We're only paying $10/mo for a solution that gives our customers more confidence in us and is a selling point for us.

Incentivized

• Scalability is #1: if it used to be an almost no-win endeavour to try to modernize your server or migrate to other hardware, with Azure SQL Database it becomes a press of a button.
• All the tools simply work after you are on Azure SQL Database.
• The applications do not need changes in order to start using Azure SQL Database.
• Hybrid Cloud scenarios will work.
• Clustering and failover - already there.
• You can start monitoring the use and extract performance insights in a new way in Azure.

Incentivized

• Some products/services available on other Cloud providers aren't available, but they seem to be catching up as they add new products like Managed SQL DBs.
• While they have FreeBSD droplets (VMs), support for *BSD OSs is limited. I.e. the new monitoring agent only works on Linux.
• There are no regions available on South America.
• They don't seem to offer enterprise-level products, even basic ones as Windows Server, MS SQL Server, Oracle products, etc.

Incentivized

• A little slow on processing complex or large Views. We use a lot of Views to feed our BI system, and the processing time could see some improvement, IMHO.
• Additional monitoring components would be nice too, automating some built in performance measurement tools would be a nice feature.
• Price can always be improved as well. It’s not bad, but room for improvement.

Incentivized

I've been very happy with it for my purposes and I plan to continue to use DigitalOcean for the foreseeable future!

Incentivized

This is best solution as a DBA one could expect from a service provider and as a cloud service, it removes all your hassles.

Incentivized

With DigitalOcean it is very easy to start up a server/droplet. They have several templates and server images to select from, and they have good instructions on how to get a server set up and started. The monitoring tools in the dashboard look good and are easy to understand.

Incentivized

It just works!

Have not found a single second of down time myself. Superior availability.

Incentivized

Very quick response and high performance, you have to fine tune configurations on your machines though.

Incentivized

They have always been fast, and the process has been straight-forward. I haven't had to use it enough to be frustrated with it, to be honest, and when I have an issue they fix it. As with all support, I wish it felt more human, but they are doing aces.

Incentivized

We give the support a high rating simply because every time we've had issues or questions, representatives were in contact with us quickly. Without fail, our issues/questions were handled in a timely matter. That kind of response is integral when client data integrity and availability is in question. There is also a wealth of documentation for resolving issues on your own.

Incentivized

I chose DigitalOcean over Oracle Cloud because it's simpler, more cost-effective, and quicker to deploy. DigitalOcean’s intuitive interface allows me to manage servers easily, while Oracle Cloud is more complex and suited for larger enterprises. Also, DigitalOcean’s transparent pricing helps control costs, unlike Oracle’s more intricate and complex pricing model.

Incentivized

Oracle Database is "the" serious database. There really is no competition in that field. SQL Database would be a serious competitor through the ease of implementation and the "no maintenance," but since it's too expensive for "normal" use (medium to small applications), it just priced itself out of the market, so to speak. Nevertheless, we do have 2 or 3 large applications that are highly integrated in azure, and for those it's just too easy to use SQL Database instead of the on premise Oracle Database with VPN gateways etcetera.

Incentivized

Great scalability, you can start with small plans and move up to premium features at a very good price.

Incentivized

• DigitalOcean has very competitive egress pricing, which has been positive for reducing our costs when running services with a large amounts of data transfer
• DigitalOcean templates have helped us quickly launch services that would otherwise require a lot of configuration (saving time)
• We haven't had much in the way of negative ROI impacts using DigitalOcean as we don't use it extensively for our core product, but based on personal project experience it can require more engineering time to get up and running with than some other infrastructure services like Heroku. This has been one of the greatest barriers in pushing its adoption in our organization.

Incentivized

• We don't need a dedicated SQL dba because so many of the database maintenance operations are managed. A huge positive not only in budget but time constraints.
• The ability to scale quickly is the biggest positive as our data needs change constantly.
• Easy to migrate from legacy tools and systems, saving us on the need for redevelopment.

Incentivized