DigitalOcean is an infrastructure-as-a-service (IaaS) platform from the company of the same name headquartered in New York. It is known for its support of managed Kubernetes clusters and “droplets” feature.
$5
Starting Price Per Month
Google Cloud SQL
Score 8.9 out of 10
N/A
Google Cloud SQL is a database-as-a-service (DBaaS) with the capability and functionality of MySQL.
$0
per core hour
Pricing
DigitalOcean
Google Cloud SQL
Editions & Modules
1GB-16GB
$5.00
Starting Price Per Month
8GB-160GB
$60.00
Starting Price Per Month
License - Express
$0
per core hour
License - Web
$0.01134
per core hour
Storage - for backups
$.08
per month per GB
HA Storage - for backups
$.08
per month per GB
Storage - HDD storage capacity
$.09
per month per GB
License - Standard
$0.13
per core hour
Storage - SSD storage capacity
$.17
per month per GB
HA Storage - HDD storage capacity
$.18
per month per GB
HA Storage - SSD storage capacity
$.34
per month per GB
License - Enterprise
$0.47
per core hour
Memory
$5.11
per month per GB
HA Memory
$10.22
per month per GB
vCPUs
$30.15
per month per vCPU
HA vCPUs
$60.30
per month per vCPU
Offerings
Pricing Offerings
DigitalOcean
Google Cloud SQL
Free Trial
No
Yes
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
—
Pricing varies with editions, engine, and settings, including how much storage, memory, and CPU you provision. Cloud SQL offers per-second billing.
More Pricing Information
Community Pulse
DigitalOcean
Google Cloud SQL
Features
DigitalOcean
Google Cloud SQL
Infrastructure-as-a-Service (IaaS)
Comparison of Infrastructure-as-a-Service (IaaS) features of Product A and Product B
DigitalOcean
8.3
Ratings
3% above category average
Google Cloud SQL
-
Ratings
Service-level Agreement (SLA) uptime
9.20 Ratings
00 Ratings
Dynamic scaling
9.00 Ratings
00 Ratings
Elastic load balancing
7.00 Ratings
00 Ratings
Pre-configured templates
10.00 Ratings
00 Ratings
Monitoring tools
10.00 Ratings
00 Ratings
Pre-defined machine images
7.60 Ratings
00 Ratings
Operating system support
8.40 Ratings
00 Ratings
Security controls
9.00 Ratings
00 Ratings
Automation
5.00 Ratings
00 Ratings
Database-as-a-Service
Comparison of Database-as-a-Service features of Product A and Product B
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.
Does what it promises well, for instance, as a sidecar for the main enterprise data warehouse. However, I would not recommend using it as the main data warehouse, particularly due to the heavy business logic, as other dedicated tools are more suitable for ensuring scalable operations in terms of change management and multi-developer adjustments.
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.
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.
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.
As with other cloud tools, users must learn a new terminology to navigate the various tools and configurations, and understand Google Cloud's configuration structure to perform even the most basic operations. So the learning curve is quite steep, but after a few months, it gets easier to maintain.
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.
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.
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.
Unlike other products, Google Cloud SQL has very flexible features that allow it to be selected for a free trial account so that the product can be analyzed and tested before purchasing it. Integration capabilities with most of the web services tools are easier regarding Google Cloud SQL with its nature and support.
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.