What users are saying about
26 Ratings
Top Rated
121 Ratings
26 Ratings
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Score 9 out of 100
Top Rated
121 Ratings
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Score 8.8 out of 100

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

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

CouchDB
7.9
Google BigQuery
Performance
CouchDB
8.0
Google BigQuery
Availability
CouchDB
8.5
Google BigQuery
Concurrency
CouchDB
8.5
Google BigQuery
Security
CouchDB
6.0
Google BigQuery
Scalability
CouchDB
8.0
Google BigQuery
Data model flexibility
CouchDB
7.0
Google BigQuery
Deployment model flexibility
CouchDB
9.0
Google BigQuery

Database-as-a-Service

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

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

  • 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

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

  • 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

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 9.0
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

Support Rating

CouchDB

No score
No answers yet
No answers on this topic

Google BigQuery

Google BigQuery 8.4
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

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

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

Pricing Details

CouchDB

General

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

CouchDB Editions & Modules

Additional Pricing Details

Google BigQuery

General

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

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

Rating Summary

Likelihood to Recommend

CouchDB
9.0
Google BigQuery
8.7

Likelihood to Renew

CouchDB
9.0
Google BigQuery

Usability

CouchDB
8.0
Google BigQuery
9.0

Support Rating

CouchDB
Google BigQuery
8.4

Implementation Rating

CouchDB
9.0
Google BigQuery

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