What users are saying about
104 Ratings
Top Rated
110 Ratings
104 Ratings
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Score 8.6 out of 100
Top Rated
110 Ratings
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Score 8.7 out of 100

Likelihood to Recommend

IBM Cloudant

IBM Cloudant is generally a good tool for a NonSQL, document oriented Database as a Service. It is very scalable and reliable, and managed services through IBM seems to be working well. You can consider as almost no lock-in since it is based on CouchDB API structures and you can migrate to any other provider in the future if needed. If you need real Global Availability, like Asia / China you may need to look for alternatives.
Anonymous | TrustRadius Reviewer

Google BigQuery

BigQuery is unlike anything we've used as a big data tool. It is perfectly suited to query large data sets quickly and to store those large data sets for any time use. It's perfect for storing data and using it for reports. Logging data is the perfect application for BigQuery, but transactional data is possible as well
Tristan Dobbs | TrustRadius Reviewer

Feature Rating Comparison

NoSQL Databases

IBM Cloudant
7.8
Google BigQuery
Performance
IBM Cloudant
8.1
Google BigQuery
Availability
IBM Cloudant
8.2
Google BigQuery
Concurrency
IBM Cloudant
7.8
Google BigQuery
Security
IBM Cloudant
8.0
Google BigQuery
Scalability
IBM Cloudant
7.4
Google BigQuery
Data model flexibility
IBM Cloudant
7.3
Google BigQuery
Deployment model flexibility
IBM Cloudant
7.8
Google BigQuery

Database-as-a-Service

IBM Cloudant
Google BigQuery
9.0
Automatic software patching
IBM Cloudant
Google BigQuery
9.3
Database scalability
IBM Cloudant
Google BigQuery
9.4
Automated backups
IBM Cloudant
Google BigQuery
8.7
Database security provisions
IBM Cloudant
Google BigQuery
8.8
Monitoring and metrics
IBM Cloudant
Google BigQuery
8.8
Automatic host deployment
IBM Cloudant
Google BigQuery
9.0

Pros

IBM Cloudant

  • For us, performance and scalability is the key, and Cloudant DB backed by CouchDB is scalable and performant.
  • IBM Cloudant dB is very easy to provision for sandbox, development, QA as well as production.
  • Support for Java for CouchDB app server analytics enables a greater control for over developers.
  • Schema free oriented very easy to program and build applications on it.
  • We love it!!
Naresh Jasotani | TrustRadius Reviewer

Google BigQuery

  • How many pros can a person type? This storage program gives workers and students the reality of unlimited storage space. I have never came close to overfilling my google cloud storage because it's huge and the best. I can view anything I save on there from any of my internet devices which is very important.
  • Depending on how you have the program set up - either online or through an application that lives on your desktop, dragging and dropping files to and from Cloud Storage couldn't be any more uncomplicated. Plus, new users who meet certain criteria - like updating personal security, or share the program receive additional free online storage.
  • The array of tools is very impressive, intuitive to use, and well organized in the sense that you don't have to go looking for individual apps. They're all easily accessed via a single dropdown.
Sam Lepak | TrustRadius Reviewer

Cons

IBM Cloudant

  • It was only after we went with the cloud-based solution that IBM rolled out an on-premise version.
  • We found that a 3rd-party ODBC driver was required for a few applications that needed to pull data out of Cloudant.
  • The sales process was difficult because the salesperson we used was not as versed on Cloudant as I had hoped.
Anonymous | TrustRadius Reviewer

Google BigQuery

  • Though it is SQL some syntax are different but they are getting used to after you use for some time.
  • The legacy SQL is in beta state but can be used and you can run the query with simple SQL.
  • More documentation is needed for using User-defined functions in Big Query.
Anonymous | TrustRadius Reviewer

Likelihood to Renew

IBM Cloudant

IBM Cloudant 7.3
Based on 1 answer
the flexibility of NoSQL allow us to modify and upgrade our apps very fast and in a convenient way. Having the solution hosted by IBM is also giving us the chance to focus on features and the improvement of our apps. It's one thing less to be worried about
victor pease solano | TrustRadius Reviewer

Google BigQuery

No score
No answers yet
No answers on this topic

Usability

IBM Cloudant

IBM Cloudant 7.7
Based on 5 answers
It's mostly just a straight forward API to a data store. I knock one off for the full text search thing, but I don't need it much anyways. Also, the dashboard UI they give is pretty nice to use. It provides syntax-highlighting for writing views and queries are easy to test. I wish other DBs had a UI like this.
Bryan Redeagle | TrustRadius Reviewer

Google BigQuery

Google BigQuery 9.0
Based on 1 answer
BigQuery is a little bit difficult to learn at first. The tools are all there but it takes a few hours of practice and trial and error to be comfortable processing a large dataset. It can handle quite a bit and the cloud storage makes those experimental practice hours much easier to do in your spare time. The software is capable of doing a lot, it's just a matter of being patient and learning the ways of BigQuery.
Anonymous | TrustRadius Reviewer

Reliability and Availability

IBM Cloudant

IBM Cloudant 8.2
Based on 2 answers
it is a highly available solution in the IBM cloud portfolio and hence we have never had any issues with the data base being available - we also do continuous replication to be on the safer side just in case some thing goes awry. We also perform twice a year disaster recovery tests.
Shiv Shivakumar | TrustRadius Reviewer

Google BigQuery

No score
No answers yet
No answers on this topic

Performance

IBM Cloudant

IBM Cloudant 8.2
Based on 2 answers
very easy to get started and is very developer friendly given that it uses couchDB analytics. It is a cloud based solution and hence there is no hardware investment in a server and staging the server to get started and the associated delays/bureaucracy involved to get started. Good documentation is also available.
Shiv Shivakumar | TrustRadius Reviewer

Google BigQuery

No score
No answers yet
No answers on this topic

Support Rating

IBM Cloudant

IBM Cloudant 8.6
Based on 6 answers
Very happy by the commitment given by the team which has been really good over the last 7 years of usage.
Nicolas Peeters | TrustRadius Reviewer

Google BigQuery

Google BigQuery 8.5
Based on 16 answers
I rated the overall support for Google BigQuery as a mediocre five because it has limited support from Google. Instead, it is heavily dependent on an organization's IT resources such as SQL analysts and Data Architects to run big data reports or maintain data quality. Additionally, if errors occur during a run of complex SQL queries or when sending data to Google BigQuery from other sources, Google provides basic email support which needs to be complemented with internal data warehouse support to fix the root cause of the database errors. Finally, due to constraints on the amount of data an analyst can query or pay the additional cost when exceeding the limit, basic Google support is not sufficient to meet data needs without interruption.
Anonymous | TrustRadius Reviewer

Online Training

IBM Cloudant

IBM Cloudant 7.3
Based on 1 answer
online resources are good enough to understand but there is nothing like testing. In our case, we discovered some not documented behavior that we take in count now. Also, the experience in NodeJs is critical. Also, take in count that most of the "good practices" with cloudant are not in online courses but in blogs and pages from independent developers
victor pease solano | TrustRadius Reviewer

Google BigQuery

No score
No answers yet
No answers on this topic

Implementation Rating

IBM Cloudant

IBM Cloudant 8.2
Based on 8 answers
  • Test the architecture on CouchDB helped us to address initial design flaws.
  • The migration to Cloudant as such was very painless.
  • We have migrate our replication system to Cloudant Android Sync for mobile devices.
  • We have regular informal contact with the Cloudant leadership to discuss our use cases and implementation strategies.
Nicolas Peeters | TrustRadius Reviewer

Google BigQuery

No score
No answers yet
No answers on this topic

Alternatives Considered

IBM Cloudant

It's easier to use than Dynamo, more open than Firebase, and has better documentation that CouchDB... it might not be fair to compare Modulus, Modulus obviously suffers from some scalability issues and might not be in the same class... but its a hosted DB service we had some experience with in the past....
Wes Wilson | TrustRadius Reviewer

Google BigQuery

Spinning up, provisioning, maintaining and debugging a Hadoop solution can be non-trivial, painful. I'm talking about both GCE based or HDInsight clusters. It requires expertise (+ employee hire, costs). With BigQuery if someone has a good SQL knowledge (and maybe a little programming), can already start to test and develop. All of the infrastructure and platform services are taken care of. Google BigQuery is a magnitudes simpler to use than Hadoop, but you have to evaluate the costs. BigQuery billing is dependent on your data size and how much data your query touches.
Csaba Toth | TrustRadius Reviewer

Scalability

IBM Cloudant

IBM Cloudant 8.6
Based on 21 answers
As a DB-as-a-Service, Cloudant has freed us from this kind of problem. Using the IBM Bluemix dashboard you can control how many transaction are executed in milliseconds and this is for now our rating of scalability between 200-24 milliseconds for one http POST (insert document), well under the project rate that was defined by an order of magnitude.
Romualdo Gobbo | TrustRadius Reviewer

Google BigQuery

No score
No answers yet
No answers on this topic

Return on Investment

IBM Cloudant

  • Saving in-terms of cost of procuring and maintaining hardware, which will be realized over the next 5 years.
  • Positive ROI in terms of the number of FTEs involved in maintaining our databases; our DBAs can now focus on other important and business critical applications.
  • Best ROI in terms of our organization's vision - they are no longer anxious / nervous to move to the cloud. We are already on the CLOUD.
Naresh Jasotani | TrustRadius Reviewer

Google BigQuery

  • 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.
Alex Andrews | TrustRadius Reviewer

Pricing Details

IBM Cloudant

General

Free Trial
Yes
Free/Freemium Version
Yes
Premium Consulting/Integration Services
Yes
Entry-level set up fee?
No

Google BigQuery

General

Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No

Rating Summary

Likelihood to Recommend

IBM Cloudant
7.9
Google BigQuery
8.6

Likelihood to Renew

IBM Cloudant
7.3
Google BigQuery

Usability

IBM Cloudant
7.7
Google BigQuery
9.0

Reliability and Availability

IBM Cloudant
8.2
Google BigQuery

Performance

IBM Cloudant
8.2
Google BigQuery

Support Rating

IBM Cloudant
8.6
Google BigQuery
8.5

Online Training

IBM Cloudant
7.3
Google BigQuery

Implementation Rating

IBM Cloudant
8.2
Google BigQuery

Scalability

IBM Cloudant
8.6
Google BigQuery

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