What users are saying about
28 Ratings
<a href='https://www.trustradius.com/static/about-trustradius-scoring' target='_blank' rel='nofollow noopener'>trScore algorithm: Learn more.</a>Score 6.5 out of 100
Based on 28 reviews and ratings
173 Ratings
<a href='https://www.trustradius.com/static/about-trustradius-scoring' target='_blank' rel='nofollow noopener'>trScore algorithm: Learn more.</a>Score 9 out of 100
Based on 173 reviews and ratings
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
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
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.

Verified User
Engineer in Corporate
Computer Software Company, 1-10 employeesGoogle 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.
Senior Product Analyst
MonotypeInformation Technology & Services, 10,001+ employees
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.
Developer
Carrot - a VICE companyBroadcast Media, 201-500 employees
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.
Data Analyst
Raymour and FlaniganRetail, 5001-10,000 employees
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.
Risk Insight Product
TelkomselTelecommunications, 1001-5000 employees
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.
Head of Digital Marketing
YachtLifeInternet, 11-50 employees
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 |
- per TB
- 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.
Sr. Software Engineer
PerformicsComputer Software, 201-500 employees
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
General Manager
SupermioComputer Software, 1-10 employees
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
Lead Data Engineer
GamesysGambling & Casinos, 5001-10,000 employees
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.
Vice President of Shared Services
CloudbakersComputer Software, 51-200 employees
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
General Manager
SupermioComputer Software, 1-10 employees
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
CTO & Co-founder
Datawhere.comComputer Software, 11-50 employees
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.
Software Engineer
SportsBoard Mobile Player Assessment SolutionsResearch, 1-10 employees
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.

Verified User
Employee in Information Technology
Management Consulting Company, 10,001+ employeesProfessional 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.

Verified User
Employee in Information Technology
Management Consulting Company, 10,001+ employeesReturn 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.
Chairman & CEO
eDriven StudiosInformation Technology and Services, 1-10 employees
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.
Solution Architect
Ovative/groupMarketing and Advertising, 51-200 employees