DigitalOcean vs. Google Cloud BigTable

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
DigitalOcean
Score 8.8 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
Cloud BigTable
Score 8.4 out of 10
N/A
Google's Cloud Bigtable is a fully managed, scalable NoSQL database service for large analytical and operational workloads with up to 99.999% availability.
$0.03
per month per GB
Pricing
DigitalOceanGoogle Cloud BigTable
Editions & Modules
1GB-16GB
$5.00
Starting Price Per Month
8GB-160GB
$60.00
Starting Price Per Month
Backup Storage
$0.026
per month per GB
HDD storage
$0.026
per month per GB
SSD storage
$0.17
per month per GB
Nodes
$0.65/hour
per month per node (minimum 1 nodes)
Offerings
Pricing Offerings
DigitalOceanCloud BigTable
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
DigitalOceanGoogle Cloud BigTable
Features
DigitalOceanGoogle Cloud BigTable
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 BigTable
-
Ratings
Service-level Agreement (SLA) uptime9.20 Ratings00 Ratings
Dynamic scaling9.00 Ratings00 Ratings
Elastic load balancing7.00 Ratings00 Ratings
Pre-configured templates10.00 Ratings00 Ratings
Monitoring tools10.00 Ratings00 Ratings
Pre-defined machine images7.60 Ratings00 Ratings
Operating system support8.40 Ratings00 Ratings
Security controls9.00 Ratings00 Ratings
Automation5.00 Ratings00 Ratings
Database-as-a-Service
Comparison of Database-as-a-Service features of Product A and Product B
DigitalOcean
-
Ratings
Google Cloud BigTable
8.8
Ratings
2% above category average
Automatic software patching00 Ratings8.00 Ratings
Database scalability00 Ratings10.00 Ratings
Automated backups00 Ratings9.00 Ratings
Database security provisions00 Ratings8.00 Ratings
Monitoring and metrics00 Ratings9.00 Ratings
Best Alternatives
DigitalOceanGoogle Cloud BigTable
Small Businesses
DigitalOcean Droplets
DigitalOcean Droplets
Score 8.7 out of 10
IBM Cloudant
IBM Cloudant
Score 7.4 out of 10
Medium-sized Companies
SAP on IBM Cloud
SAP on IBM Cloud
Score 9.5 out of 10
IBM Cloudant
IBM Cloudant
Score 7.4 out of 10
Enterprises
SAP on IBM Cloud
SAP on IBM Cloud
Score 9.5 out of 10
IBM Cloudant
IBM Cloudant
Score 7.4 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
DigitalOceanGoogle Cloud BigTable
Likelihood to Recommend
8.2
(0 ratings)
9.0
(0 ratings)
Likelihood to Renew
9.0
(0 ratings)
-
(0 ratings)
Usability
8.0
(0 ratings)
9.0
(0 ratings)
Availability
10.0
(0 ratings)
-
(0 ratings)
Performance
9.0
(0 ratings)
-
(0 ratings)
Support Rating
8.8
(0 ratings)
9.0
(0 ratings)
Product Scalability
10.0
(0 ratings)
-
(0 ratings)
User Testimonials
DigitalOceanGoogle Cloud BigTable
Likelihood to Recommend
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 Bigtable is ONLY suited for massive data sets which scale PetaBytes and TerraBytes. Anything under this can easily be done via dedicated VMs and open source tools. Google Bigtable is expensive and shall be used wisely. It should be utilised only where it is well suited else you would simply be wasting dollars and not utilizing its full benefits.
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Pros
  • 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.
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  • Analytics: is at Google's heart. No on can beat Google in this space and BigTable is one of its implementation of this. The insights you gain from BigTable are simply usable in your day to day activities and can help you make real difference.
  • Speed: Processing TBs and PBs of data under minutes needs real efficient platform which is capable of doing much more than just processing data. All this data cannot be processed by a single machine, but rather huge pairs of machines working in conjuction with each other. BigTable's implementation is one of the finest and allows you achieve great speeds!
  • Interface: is great. Google has segregated required task under logically placed buttons which takes no time by users to understand and get habituated.
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Cons
  • 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.
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  • User interface's responsiveness: I understand so much is going on under the hood, but laggyness is acceptable if a workload is running or being processed. In case their is not workload being process, GUI should work blazing fast. I have faced this at times, and this becomes frustrating as well.
  • Nothing other than this - BigTable is quite efficient platform and does exactly what it is built for.
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Likelihood to Renew
I've been very happy with it for my purposes and I plan to continue to use DigitalOcean for the foreseeable future!
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No answers on this topic
Usability
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.
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For big IT firms like us, data is very important and it only holds its value if it can make sense to us. Therefore, Bigtable's usability is priceless when it comes to decision making based on data.
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Reliability and Availability
Have not found a single second of down time myself. Superior availability.
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No answers on this topic
Performance
Very quick response and high performance, you have to fine tune configurations on your machines though.
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No answers on this topic
Support Rating
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 provides premium support services for BigTable which is absolutely blazing fast similar to Bigtable's performance.
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Alternatives Considered
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.
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No answers on this topic
Scalability
Great scalability, you can start with small plans and move up to premium features at a very good price.
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No answers on this topic
Return on Investment
  • 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.
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  • Positive return on investment.
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ScreenShots