What users are saying about
28 Ratings
173 Ratings
28 Ratings
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Score 6.5 out of 100
173 Ratings
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Score 9 out of 100

Feature Set Ratings

    NoSQL Databases

    7.9

    CouchDB

    79%

    Google BigQuery

    Feature Set Not Supported
    N/A
    Apache CouchDB ranks higher in 7/7 features

    Performance

    8.0
    80%
    2 Ratings
    N/A
    0 Ratings

    Availability

    8.5
    85%
    2 Ratings
    N/A
    0 Ratings

    Concurrency

    8.5
    85%
    2 Ratings
    N/A
    0 Ratings

    Security

    6.0
    60%
    2 Ratings
    N/A
    0 Ratings

    Scalability

    8.0
    80%
    2 Ratings
    N/A
    0 Ratings

    Data model flexibility

    7.0
    70%
    2 Ratings
    N/A
    0 Ratings

    Deployment model flexibility

    9.0
    90%
    2 Ratings
    N/A
    0 Ratings

    Database-as-a-Service

    CouchDB

    Feature Set Not Supported
    N/A
    9.2

    Google BigQuery

    92%
    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 2 areas: Likelihood to Recommend, Usability

    Likelihood to Recommend

    9.0

    CouchDB

    90%
    10 Ratings
    9.6

    Google BigQuery

    96%
    29 Ratings

    Likelihood to Renew

    9.0

    CouchDB

    90%
    9 Ratings

    Google BigQuery

    N/A
    0 Ratings

    Usability

    8.0

    CouchDB

    80%
    1 Rating
    9.5

    Google BigQuery

    95%
    3 Ratings

    Support Rating

    CouchDB

    N/A
    0 Ratings
    9.6

    Google BigQuery

    96%
    18 Ratings

    Implementation Rating

    9.0

    CouchDB

    90%
    2 Ratings

    Google BigQuery

    N/A
    0 Ratings

    Contract Terms and Pricing Model

    CouchDB

    N/A
    0 Ratings
    10.0

    Google BigQuery

    100%
    1 Rating

    Professional Services

    CouchDB

    N/A
    0 Ratings
    8.5

    Google BigQuery

    85%
    2 Ratings

    Likelihood to Recommend

    CouchDB

    Great for REST API development, if you want a small, fast server that will send and receive JSON structures, CouchDB is hard to beat. Not great for enterprise-level relational database querying (no kidding). While by definition, document-oriented databases are not relational, porting or migrating from relational, and using CouchDB as a backend is probably not a wise move as it's reliable, but It may not always be highly available.
    Anonymous | TrustRadius Reviewer

    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.
    Sameera Srivastava | TrustRadius Reviewer

    Pros

    CouchDB

    • It can replicate and sync with web browsers via PouchDB. This lets you keep a synced copy of your database on the client-side, which offers much faster data access than continuous HTTP requests would allow, and enables offline usage.
    • Simple Map/Reduce support. The M/R system lets you process terabytes of documents in parallel, save the results, and only need to reprocess documents that have changed on subsequent updates. While not as powerful as Hadoop, it is an easy to use query system that's hard to screw up.
    • Sharding and Clustering support. As of CouchDB 2.0, it supports clustering and sharding of documents between instances without needing a load balancer to determine where requests should go.
    • Master to Master replication lets you clone, continuously backup, and listen for changes through the replication protocol, even over unreliable WAN links.
    Sean Lang | TrustRadius Reviewer

    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.
    Rounak Verma | TrustRadius Reviewer

    Cons

    CouchDB

    • NoSQL DB can become a challenge for seasoned RDBMS users.
    • The map-reduce paradigm can be very demanding for first-time users.
    • JSON format documents with Key-Value pairs are somewhat verbose and consume more storage.
    Johanes Siregar | TrustRadius Reviewer

    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.
    Sam Lepak | TrustRadius Reviewer

    Pricing Details

    CouchDB

    General

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

    Starting Price

    CouchDB Editions & Modules

    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

    CouchDB

    CouchDB 9.0
    Based on 9 answers
    Because our current solution S3 is working great and CouchDB was a nightmare. The worst is that at first, it seemed fine until we filled it with tons of data and then started to create views and actually delete.
    Josh Stapp | TrustRadius Reviewer

    Google BigQuery

    No score
    No answers yet
    No answers on this topic

    Usability

    CouchDB

    CouchDB 8.0
    Based on 1 answer
    Couchdb is very simple to use and the features are also reduced but well implemented. In order to use it the way its designed, the ui is adequate and easy. Of course, there are some other task that can't be performed through the admin ui but the minimalistic design allows you to use external libraries to develop custom scripts
    victor pease solano | TrustRadius Reviewer

    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
    Richard Atkins | TrustRadius Reviewer

    Support Rating

    CouchDB

    No score
    No answers yet
    No 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.
    Tristan Dobbs | TrustRadius Reviewer

    Implementation Rating

    CouchDB

    CouchDB 9.0
    Based on 2 answers
    it support is minimal also hw requirements. Also for development, we can have databases replicated everywhere and the replication is automagical. once you set up the security and the rules for replication, you are ready to go. The absence of a model let you build your app the way you want it
    victor pease solano | TrustRadius Reviewer

    Google BigQuery

    No score
    No answers yet
    No answers on this topic

    Alternatives Considered

    CouchDB

    It has been 5+ years since we chose CouchDB. We looked an MongoDB, Cassandra, and probably some others. At the end of the day, the performance, power potential, and simplicity of CouchDB made it a simple choice for our needs. No one should use just because we did. As I said early, make sure you understand your problems, and find the right solution.Some random reading that might be useful:http://www.julianbrowne.com/article/viewer/brewers-cap-theoremhttps://www.couchbase.com/nosql-resources/why-nosql\https://www.infoq.com/articles/cap-twelve-years-later-how-the-rules-have-changed
    Dave Lundberg | 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

    Contract Terms and Pricing Model

    CouchDB

    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.
    Anonymous | TrustRadius Reviewer

    Professional Services

    CouchDB

    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.
    Anonymous | TrustRadius Reviewer

    Return on Investment

    CouchDB

    • It has saved us hours and hours of coding.
    • It is has taught us a new way to look at things.
    • It has taught us patience as the first few weeks with CouchDB were not pleasant. It was not easy to pick up like MongoDB.
    LeVar Berry | 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

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