Google Cloud BigTable vs. IBM Cloud Databases

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
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
IBM Cloud Databases
Score 8.3 out of 10
N/A
IBM Cloud Databases are open source data stores for enterprise application development. Built on a Kubernetes foundation, they offer a database platform for serverless applications. They are designed to scale storage and compute resources seamlessly without being constrained by the limits of a single server. Natively integrated and available in the IBM Cloud console, these databases are now available through a consistent consumption, pricing, and interaction model. They aim to provide a cohesive…N/A
Pricing
Google Cloud BigTableIBM Cloud Databases
Editions & Modules
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)
No answers on this topic
Offerings
Pricing Offerings
Cloud BigTableIBM Cloud Databases
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
Google Cloud BigTableIBM Cloud Databases
Top Pros

No answers on this topic

Top Cons

No answers on this topic

Features
Google Cloud BigTableIBM Cloud Databases
Database-as-a-Service
Comparison of Database-as-a-Service features of Product A and Product B
Google Cloud BigTable
8.8
1 Ratings
1% above category average
IBM Cloud Databases
7.4
93 Ratings
16% below category average
Automatic software patching8.01 Ratings8.377 Ratings
Database scalability10.01 Ratings8.387 Ratings
Automated backups9.01 Ratings7.090 Ratings
Database security provisions8.01 Ratings8.783 Ratings
Monitoring and metrics9.01 Ratings5.387 Ratings
Automatic host deployment00 Ratings6.669 Ratings
Best Alternatives
Google Cloud BigTableIBM Cloud Databases
Small Businesses
IBM Cloudant
IBM Cloudant
Score 8.1 out of 10
IBM Cloudant
IBM Cloudant
Score 8.1 out of 10
Medium-sized Companies
IBM Cloudant
IBM Cloudant
Score 8.1 out of 10
IBM Cloudant
IBM Cloudant
Score 8.1 out of 10
Enterprises
IBM Cloudant
IBM Cloudant
Score 8.1 out of 10
IBM Cloudant
IBM Cloudant
Score 8.1 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Google Cloud BigTableIBM Cloud Databases
Likelihood to Recommend
9.0
(1 ratings)
7.8
(95 ratings)
Likelihood to Renew
-
(0 ratings)
8.0
(7 ratings)
Usability
9.0
(1 ratings)
7.0
(6 ratings)
Support Rating
9.0
(1 ratings)
1.0
(10 ratings)
User Testimonials
Google Cloud BigTableIBM Cloud Databases
Likelihood to Recommend
Google
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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IBM
Less Appropriate Scenario: 1) Small Scale or Low Budget Projects 2) Organizations with limited expertise in cloud technologies may find the learning curve steep, especially if they are not familiar with the IBM Cloud platform 3) If database requirements are highly dynamic and change frequently, the comprehensive features and management provided by IBM Cloud Databases might be overkill. A more flexible, self-managed solution could be preferable for adapting to rapid changes.
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Pros
Google
  • 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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IBM
  • The ease of setup was effortless. For anyone with development experience, a few simple questions such as name and login data will get you set up.
  • The web application to manage cluster settings, billing settings and even introspect the data was simple and most importantly worked all the time. This can not always be said for web interfaces of other products.
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Cons
Google
  • 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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IBM
  • Better cost reports, before just increasing to another tier, thus increasing the price. This is critical for early stage startups, where budget is tight.
  • Add more data center options. As a comparison, a similar service, Aiven.io has dozen more options than Compose (basically all big cloud providers). We moved from AWS to Digital Ocean, which made us stop using Compose, since Compose forces us to be either on IBM or AWS.
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Likelihood to Renew
Google
No answers on this topic
IBM
IBM is our trusted partner which never failed to meet our expectations. Stability, efficiency, usability and security is a must have for our business which is fully provided by IBM Cloud Databases
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Usability
Google
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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IBM
It is great the only things I have stumbled upon is the non standard port 80 they use and sometimes expired SSL certificate.
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Support Rating
Google
Google provides premium support services for BigTable which is absolutely blazing fast similar to Bigtable's performance.
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IBM
Support is helpful enough, but we haven't always had questions answered in a satisfactory manner. At one time we realized that Compose had stopped taking database snapshots on its two-per-day schedule, and had in fact not taken one for many days. Support recognized the problem and it was fixed, but the lack of proactive checks and the inability to share exactly what happened has caused us to look elsewhere for production work loads
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Alternatives Considered
Google
No answers on this topic
IBM
The reason why I choose IBM Cloud Databases is that the IBM cloud toolset is already being used in other functions of the company and by using IBM Cloud Databases, the other cloud tools are better embedded and integrated. If the company is set to use amazon tools, I would go for rds.
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Return on Investment
Google
  • Positive return on investment.
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IBM
  • Prove use cases prior to administering entire platform, obtain ROI faster
  • Able to achieve the technological components of our advanced analytics team without full scale purchase of AI platform
  • Developed several studies to prove out cloud Db value, speed to deploy
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ScreenShots