What users are saying about

IBM Cloudant vs Google BigQuery

IBM Cloudant
Top Rated
120 Ratings
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Google BigQuery
173 Ratings

IBM Cloudant

Top Rated
120 Ratings
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Score 9.1 out of 100

Based on 120 reviews and ratings

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Google BigQuery

173 Ratings
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Score 9 out of 100

Based on 173 reviews and ratings

Feature Set Ratings

    NoSQL Databases

    8.9

    IBM Cloudant

    89%

    Google BigQuery

    Feature Set Not Supported
    N/A
    IBM Cloudant ranks higher in 7/7 features
    IBM Cloudant ranks higher in 7/7 features

    Performance

    8.7
    87%
    18 Ratings
    N/A
    0 Ratings

    Availability

    9.1
    91%
    18 Ratings
    N/A
    0 Ratings

    Concurrency

    8.6
    86%
    18 Ratings
    N/A
    0 Ratings

    Security

    9.1
    91%
    18 Ratings
    N/A
    0 Ratings

    Scalability

    9.5
    95%
    18 Ratings
    N/A
    0 Ratings

    Data model flexibility

    7.5
    75%
    18 Ratings
    N/A
    0 Ratings

    Deployment model flexibility

    9.5
    95%
    18 Ratings
    N/A
    0 Ratings

    Database-as-a-Service

    IBM Cloudant

    Feature Set Not Supported
    N/A
    9.2

    Google BigQuery

    92%
    Google BigQuery ranks higher in 6/6 features
    Google BigQuery ranks higher in 6/6 features

    Automatic software patching

    N/A
    0 Ratings
    9.2
    92%
    17 Ratings

    Database scalability

    N/A
    0 Ratings
    9.8
    98%
    29 Ratings

    Automated backups

    N/A
    0 Ratings
    9.4
    94%
    24 Ratings

    Database security provisions

    N/A
    0 Ratings
    9.2
    92%
    24 Ratings

    Monitoring and metrics

    N/A
    0 Ratings
    8.3
    83%
    25 Ratings

    Automatic host deployment

    N/A
    0 Ratings
    9.2
    92%
    14 Ratings

    Attribute Ratings

    • Google BigQuery is rated higher in 3 areas: Likelihood to Recommend, Usability, Support Rating

    Likelihood to Recommend

    9.1

    IBM Cloudant

    91%
    42 Ratings
    9.6

    Google BigQuery

    96%
    29 Ratings

    Likelihood to Renew

    7.3

    IBM Cloudant

    73%
    1 Rating

    Google BigQuery

    N/A
    0 Ratings

    Usability

    7.7

    IBM Cloudant

    77%
    5 Ratings
    9.5

    Google BigQuery

    95%
    3 Ratings

    Availability

    8.2

    IBM Cloudant

    82%
    2 Ratings

    Google BigQuery

    N/A
    0 Ratings

    Performance

    8.2

    IBM Cloudant

    82%
    2 Ratings

    Google BigQuery

    N/A
    0 Ratings

    Support Rating

    8.6

    IBM Cloudant

    86%
    6 Ratings
    9.6

    Google BigQuery

    96%
    18 Ratings

    Online Training

    7.3

    IBM Cloudant

    73%
    2 Ratings

    Google BigQuery

    N/A
    0 Ratings

    Implementation Rating

    8.2

    IBM Cloudant

    82%
    8 Ratings

    Google BigQuery

    N/A
    0 Ratings

    Contract Terms and Pricing Model

    IBM Cloudant

    N/A
    0 Ratings
    10.0

    Google BigQuery

    100%
    1 Rating

    Product Scalability

    8.6

    IBM Cloudant

    86%
    21 Ratings

    Google BigQuery

    N/A
    0 Ratings

    Professional Services

    IBM Cloudant

    N/A
    0 Ratings
    8.5

    Google BigQuery

    85%
    2 Ratings

    Likelihood to Recommend

    IBM Cloudant

    Our organization found Cloudant most suitable if One, a fixed pricing structure would make the most sense, for example in a situation where the project Cloudant is being used in makes its revenue in procurement or fixed retainer — thus the predictability of costs is paramount; Two, where you need to frequently edit the data and/or share access to the query engine to non-engineers — this is where the GUI shines.

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    Anonymous | TrustRadius Reviewer
    Verified User
    View all 42 answers on this topic

    Google BigQuery

    If you are using Google suites like Analytics 360, Big Query can be a very useful tool for storing & querying your data because of its seem less integration within Google environment. Also if your organisation has large set of data and you want fast data processing, then only it makes sense to move to Google BigQuery otherwise there are cheaper alternatives available.

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    Sameera Srivastava | TrustRadius Reviewer
    Sameera Srivastava
    View all 29 answers on this topic

    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!!

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    Naresh Jasotani | TrustRadius Reviewer
    Naresh Jasotani
    View all 42 answers on this topic

    Google BigQuery

    • Huge plus point if you have idea running SQL scripts.
    • The ability to store and manage multiple data warehouses is a big plus point which helps a lot for growing businesses.
    • Easy integration with tools like Data Studio and Google Analytics which provides great data warehouse and data management solutions.

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    Rounak Verma | TrustRadius Reviewer
    Rounak Verma
    View all 29 answers on this topic

    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.

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    Anonymous | TrustRadius Reviewer
    Verified User
    View all 42 answers on this topic

    Google BigQuery

    • One issue with Google Cloud Storage is its price. For one to have that premium Google Cloud Storage, for the purpose of massive storage, he/she must have adequate cash. Otherwise, Google Cloud Storage is a safe and perfect online storage platform.
    • The only thing that can come to mind that would be annoying with this software was that sometimes when trying to share files on the Cloud with coworkers, it would just not share at all, or there would be a massive delay in when I shared them and when they received them. Other than that though, everything is perfect with this.

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    Sam Lepak | TrustRadius Reviewer
    Sam Lepak
    View all 29 answers on this topic

    Pricing Details

    IBM Cloudant

    General

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

    Starting Price

    $0 20 reads/second ; 10 writes/second ; 5 global queries / second ; 1 GB of storage capacity

    IBM Cloudant Editions & Modules

    Edition
    LiteFree1
    Standard$752
    StandardIncluded3
    Standard$14
    1. 20 reads/second ; 10 writes/second ; 5 global queries / second ; 1 GB of storage capacity
    2. per month 100 reads/second ; 50 writes/second ; 5 global queries/second
    3. per month 20 GB of storage
    4. per month per GB of storage above the included 20 GB
    Additional Pricing Details
    —

    Google BigQuery

    General

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

    Starting Price

    $4 per 100 slots

    Google BigQuery Editions & Modules

    Edition
    Queries (On-Demand)$51
    Queries (Hourly Flex Slots)$42
    Queries (Monthly Flat Rate)$20002
    Queries (Annual Flat Rate)$1,7002
    1. per TB
    2. per 100 slots
    Additional Pricing Details
    —

    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

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    victor pease solano | TrustRadius Reviewer
    victor pease solano
    View all 1 answers on this topic

    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.

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    Bryan Redeagle | TrustRadius Reviewer
    Bryan Redeagle
    View all 5 answers on this topic

    Google BigQuery

    Google BigQuery 9.5
    Based on 3 answers
    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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    Richard Atkins | TrustRadius Reviewer
    Richard Atkins
    View all 3 answers on this topic

    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.

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    Shiv Shivakumar | TrustRadius Reviewer
    Shiv Shivakumar
    View all 2 answers on this topic

    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.

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    Shiv Shivakumar | TrustRadius Reviewer
    Shiv Shivakumar
    View all 2 answers on this topic

    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.

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    Nicolas Peeters | TrustRadius Reviewer
    Nicolas Peeters
    View all 6 answers on this topic

    Google BigQuery

    Google BigQuery 9.6
    Based on 18 answers
    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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    Tristan Dobbs | TrustRadius Reviewer
    Tristan Dobbs
    View all 18 answers on this topic

    Online Training

    IBM Cloudant

    IBM Cloudant 7.3
    Based on 2 answers
    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

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    victor pease solano | TrustRadius Reviewer
    victor pease solano
    View all 2 answers on this topic

    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.

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    Nicolas Peeters | TrustRadius Reviewer
    Nicolas Peeters
    View all 8 answers on this topic

    Google BigQuery

    No score
    No answers yet
    No answers on this topic

    Alternatives Considered

    IBM Cloudant

    The feature-set, including security, is very comparable. Overall, IBM's services added to the product are mature and stable, although product support and engineers could be a little better. Global availability is improving, and Disaster Recover Capabilities are great. Overall, it's very comparable to MongoDB as a DBaaS offer, available globally and with great documentation.

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    Anonymous | TrustRadius Reviewer
    Verified User
    View all 42 answers on this topic

    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.

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    Csaba Toth | TrustRadius Reviewer
    Csaba Toth
    View all 29 answers on this topic

    Contract Terms and Pricing Model

    IBM Cloudant

    No score
    No answers yet
    No answers on this topic

    Google BigQuery

    Google BigQuery 10.0
    Based on 1 answer
    None so far. Very satisfied with the transparency on contract terms and pricing model.

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    Anonymous | TrustRadius Reviewer
    Verified User
    View all 1 answers on this topic

    Scalability

    IBM Cloudant

    IBM Cloudant 8.6
    Based on 21 answers
    The service scales incredibly well. As you would expect from CloudDB and IBM combination. The only reason I wouldn't score it a 10 is the fact that document trees can get nested and nested very quickly if you are attempting to do very complex datasets. Which makes your code that much more complex to deal. Its very possible we could find a solution to this problem with better database planning to begin with, but one of the reasons we chose a service over a self-hosted solution was so we could set it up quick and forget about it. So we weren't going to dedicate a team to architecture optimization.

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    Wes Wilson | TrustRadius Reviewer
    Wes Wilson
    View all 21 answers on this topic

    Google BigQuery

    No score
    No answers yet
    No answers on this topic

    Professional Services

    IBM Cloudant

    No score
    No answers yet
    No answers on this topic

    Google BigQuery

    Google BigQuery 8.5
    Based on 2 answers
    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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    Anonymous | TrustRadius Reviewer
    Verified User
    View all 2 answers on this topic

    Return on Investment

    IBM Cloudant

    • IBM Cloudant is very secure and we never have to worry about losing data/unauthorized access
    • It is one of the best data backup system and works well
    • Global availability means it is easy to connect to the nearest data center and this reduces load time which is great.

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    Paul Daniels | TrustRadius Reviewer
    Paul Daniels
    View all 42 answers on this topic

    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.

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    Alex Andrews | TrustRadius Reviewer
    Alex Andrews
    View all 29 answers on this topic

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