Overview
ProductRatingMost Used ByProduct SummaryStarting Price
DigitalOcean
Score 8.3 out of 10
N/A
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 BigQuery
Score 8.6 out of 10
N/A
Google's BigQuery is part of the Google Cloud Platform, a database-as-a-service (DBaaS) supporting the querying and rapid analysis of enterprise data.
$0
per month
Pricing
DigitalOceanGoogle BigQuery
Editions & Modules
1GB-16GB
$5.00
Starting Price Per Month
8GB-160GB
$60.00
Starting Price Per Month
Standard edition
$0.04 / slot hour
Enterprise edition
$0.06 / slot hour
Enterprise Plus edition
$0.10 / slot hour
Offerings
Pricing Offerings
DigitalOceanGoogle BigQuery
Free Trial
NoYes
Free/Freemium Version
NoYes
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
DigitalOceanGoogle BigQuery
Top Pros
Top Cons
Features
DigitalOceanGoogle BigQuery
Infrastructure-as-a-Service (IaaS)
Comparison of Infrastructure-as-a-Service (IaaS) features of Product A and Product B
DigitalOcean
8.2
31 Ratings
1% above category average
Google BigQuery
-
Ratings
Service-level Agreement (SLA) uptime9.026 Ratings00 Ratings
Dynamic scaling8.228 Ratings00 Ratings
Elastic load balancing7.220 Ratings00 Ratings
Pre-configured templates9.325 Ratings00 Ratings
Monitoring tools7.730 Ratings00 Ratings
Pre-defined machine images8.729 Ratings00 Ratings
Operating system support7.729 Ratings00 Ratings
Security controls7.728 Ratings00 Ratings
Automation8.02 Ratings00 Ratings
Database-as-a-Service
Comparison of Database-as-a-Service features of Product A and Product B
DigitalOcean
-
Ratings
Google BigQuery
8.5
51 Ratings
3% below category average
Automatic software patching00 Ratings8.117 Ratings
Database scalability00 Ratings8.851 Ratings
Automated backups00 Ratings8.524 Ratings
Database security provisions00 Ratings8.844 Ratings
Monitoring and metrics00 Ratings8.546 Ratings
Automatic host deployment00 Ratings8.113 Ratings
Best Alternatives
DigitalOceanGoogle BigQuery
Small Businesses
Linode
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Score 9.0 out of 10
SingleStore
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Score 9.7 out of 10
Medium-sized Companies
SAP on IBM Cloud
SAP on IBM Cloud
Score 9.1 out of 10
SingleStore
SingleStore
Score 9.7 out of 10
Enterprises
SAP on IBM Cloud
SAP on IBM Cloud
Score 9.1 out of 10
SingleStore
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Score 9.7 out of 10
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User Ratings
DigitalOceanGoogle BigQuery
Likelihood to Recommend
8.6
(31 ratings)
8.6
(51 ratings)
Likelihood to Renew
9.0
(2 ratings)
7.0
(1 ratings)
Usability
8.6
(6 ratings)
9.4
(3 ratings)
Availability
10.0
(1 ratings)
-
(0 ratings)
Performance
9.0
(1 ratings)
-
(0 ratings)
Support Rating
8.8
(9 ratings)
10.0
(9 ratings)
Contract Terms and Pricing Model
-
(0 ratings)
10.0
(1 ratings)
Product Scalability
10.0
(1 ratings)
-
(0 ratings)
Professional Services
-
(0 ratings)
8.2
(2 ratings)
User Testimonials
DigitalOceanGoogle BigQuery
Likelihood to Recommend
DigitalOcean
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.
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Google
For organizations looking to avoid the overhead of managing infrastructure, BigQuery's server-less architecture allows teams to focus on analyzing data without worrying about server maintenance or capacity planning. Small projects or startups with limited data analysis needs and tight budgets might find other solutions more cost-effective. Also, it is not suitable for OLTP systems.
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Pros
DigitalOcean
  • DigitalOcean provides some of the best cost-to-value services available
  • The DigitalOcean cloud console is very intuitive and easy to navigate
  • DigitalOcean has great support for Docker and other dev ops tools like Terraform.
  • DigitalOcean iterates quickly and provides cutting edge features for organizations that want to keep up with the latest and greatest dev ops tooling
  • DigitalOcean has a great developer community and numerous support docs/tutorials
Read full review
Google
  • Its serverless architecture and underlying Dremel technology are incredibly fast even on complex datasets. I can get answers to my questions almost instantly, without waiting hours for traditional data warehouses to churn through the data.
  • Previously, our data was scattered across various databases and spreadsheets and getting a holistic view was pretty difficult. Google BigQuery acts as a central repository and consolidates everything in one place to join data sets and find hidden patterns.
  • Running reports on our old systems used to take forever. Google BigQuery's crazy fast query speed lets us get insights from massive datasets in seconds.
Read full review
Cons
DigitalOcean
  • 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.
Read full review
Google
  • Can't use it out of Google's cloud platform which is a minus point if you want a local setup.
  • Can be a little expensive to manage.
  • A little difficult to manage someone with less technical expertise as it requires you to have SQL knowledge of joins, CTEs etc.
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Likelihood to Renew
DigitalOcean
I've been very happy with it for my purposes and I plan to continue to use DigitalOcean for the foreseeable future!
Read full review
Google
We have to use this product as its a 3rd party supplier choice to utilise this product for their data side backend so will not be likely we will move away from this product in the future unless the 3rd party supplier decides to change data vendors.
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Usability
DigitalOcean
I honestly can't think of an easier way to set up and maintain your own server. Being able to set up a server in minutes and have fully control is awesome. The UX is incredibly intuitive for first-time users as well so there's no reason to be intimidated when it comes to giving DigitalOcean a shot.
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Google
web UI is easy and convenient. Many RDBMS clients such as aqua data studio, Dbeaver data grid, and others connect. Range of well-documented APIs available. The range of features keeps expanding, increasing similar features to traditional RDBMS such as Oracle and DB2
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Reliability and Availability
DigitalOcean
Have not found a single second of down time myself. Superior availability.
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Google
No answers on this topic
Performance
DigitalOcean
Very quick response and high performance, you have to fine tune configurations on your machines though.
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Google
No answers on this topic
Support Rating
DigitalOcean
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.
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Google
BigQuery can be difficult to support because it is so solid as a product. Many of the issues you will see are related to your own data sets, however you may see issues importing data and managing jobs. If this occurs, it can be a challenge to get to speak to the correct person who can help you.
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Alternatives Considered
DigitalOcean
Amazon has a very complex UI and many products to offer. They haven't polished up their UI and it has a much greater learning curve compared to DigitalOcean. However, Amazon Web Services (AWS) does have more comprehensive cloud computing services, which forces some companies to migrate their backend and other services to AWS as they scale up.
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Google
Google's Firebase isn't a competitor but we had to use Google's BigQuery because Google's Firebase's database is limited compared to Google's BigQuery. Linking your Firebase project to BigQuery lets you access your raw, unsampled event data along with all of your parameters and user properties. Highly recommend connecting the two if you have a mobile app.
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Contract Terms and Pricing Model
DigitalOcean
No answers on this topic
Google
None so far. Very satisfied with the transparency on contract terms and pricing model.
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Scalability
DigitalOcean
Great scalability, you can start with small plans and move up to premium features at a very good price.
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Google
No answers on this topic
Professional Services
DigitalOcean
No answers on this topic
Google
Google Support has kindly provide individual support and consultants to assist with the integration work. In the circumstance where the consultants are not present to support with the work, Google Support Helpline will always be available to answer to the queries without having to wait for more than 3 days.
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Return on Investment
DigitalOcean
  • With DigitalOcean, I've been able to move all my sites to https using my own implementations of SSL with LetsEncrypt.
  • Since moving my sites to DigitalOcean, my hosting plan costs less than 40% of what I paid for similar hosting from Site5.
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Google
  • Google BigQuery has had enormous impact in terms of ROI to our business, as it has allowed us to ease our dependence on our physical servers, which we pay for monthly from another hosting service. We have been able to run multiple enterprise scale data processing applications with almost no investment
  • Since our business is highly client focused, Google Cloud Platform, and BigQuery specifically, has allowed us to get very granular in how our usage should be attributed to different projects, clients, and teams.
  • Plain and simple, I believe the meager investments that we have made in Google BigQuery have paid themselves back hundreds of times over.
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