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
32 Ratings
<a href='https://www.trustradius.com/static/about-trustradius-scoring' target='_blank' rel='nofollow noopener'>trScore algorithm: Learn more.</a>Score 8.5 out of 100
Based on 32 reviews and ratings
Feature Set Ratings
NoSQL Databases

7.9
CouchDB
79%
MongoDB Atlas
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
9.5
MongoDB Atlas
95%
MongoDB Atlas ranks higher in 6/6 features
MongoDB Atlas ranks higher in 6/6 features
Automatic software patching

N/A
0 Ratings
9.0
90%
4 Ratings
Database scalability

N/A
0 Ratings
9.0
90%
4 Ratings
Automated backups

N/A
0 Ratings
10.0
100%
4 Ratings
Database security provisions

N/A
0 Ratings
10.0
100%
4 Ratings
Monitoring and metrics

N/A
0 Ratings
9.0
90%
4 Ratings
Automatic host deployment

N/A
0 Ratings
10.0
100%
4 Ratings
Attribute Ratings
- MongoDB Atlas is rated higher in 1 area: Likelihood to Recommend
Likelihood to Recommend

9.0
CouchDB
90%
10 Ratings
10.0
MongoDB Atlas
100%
4 Ratings
Likelihood to Renew

9.0
CouchDB
90%
9 Ratings
MongoDB Atlas
N/A
0 Ratings
Usability

8.0
CouchDB
80%
1 Rating
MongoDB Atlas
N/A
0 Ratings
Support Rating

CouchDB
N/A
0 Ratings
10.0
MongoDB Atlas
100%
4 Ratings
Implementation Rating

9.0
CouchDB
90%
2 Ratings
MongoDB Atlas
N/A
0 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 employeesMongoDB Atlas
It is suitable for database administrative operations that require a high level of speed, since by not working with conventional SQL it is possible to create data records faster, and therefore better manage work time. It is not necessary to create backend connections for the databases, since these backends of different web pages and applications automatically centralize the development data in a single place, which is useful when managing many services in parallel. It is much easier and faster to get a specific document based on special characteristics of your data, through the filtering system of MongoDB Atlas, since it manages large numbers of servers, and has a high capacity of data mimicry. The cluster shows a history of all the operations that have been performed during the day, so that it is easy to make job regressions in case you need to identify an error that occurred at some point during the day. All data from the MongoDB web application is automatically stored in the Atlas cloud.
Independent Contractor Hearing Examiner
LAWYERBESLegal Services, 201-500 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
MongoDB Atlas
- No infrastructure on our side. Free of management.
- Easy to scale up and down.

Verified User
Engineer in Information Technology
Insurance Company, 10,001+ employeesCons
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
MongoDB Atlas
- Live Migration Service.
Vice President, Chief Architect, Development Manager and Software Engineer
WySTAR Global Retirement Solutions, a Wells Fargo CompanyFinancial Services, 10,001+ 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
—MongoDB Atlas
General
Free Trial
—Free/Freemium Version
Yes
Premium Consulting/Integration Services
—Entry-level set up fee?
No
Starting Price
$0
MongoDB Atlas Editions & Modules
Edition
Shared Clusters | Free |
---|---|
Dedicated Clusters | $572 |
Dedicated Multi-Reigon Clusters | $952 |
- none
- per month
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
MongoDB Atlas
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
MongoDB Atlas
No score
No answers yet
No answers on this topic
Support Rating
CouchDB
No score
No answers yet
No answers on this topic
MongoDB Atlas
MongoDB Atlas 10.0
Based on 4 answers

Verified User
Engineer in Information Technology
Insurance Company, 10,001+ employeesImplementation 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
MongoDB Atlas
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
MongoDB Atlas
When choosing a NoSQL, open source database, MongoDB is the clear winner from an implementation standpoint. For databases that are better suited for highly-organized data, a traditional database engine like MySQL, PostgreSQL, or Oracle's RDBMS may be a better choice. When the requirement is for a NoSQL production database, MongoDB and Atlas are the clear winners from an implementation and management perspective and is very cost-competitive with offerings from Azure Cosmos and Amazon Document DB.

Verified User
Director in Engineering
Computer Software Company, 51-200 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
MongoDB Atlas
- Since we can cover a much more exhaustive database management with MongoDB Atlas, we can say that we have partly increased our profit intake in relation to the time we have been using the software.
- MongoDB Atlas has improved our earnings by 400%, which leaves our current ROI at a percentage of 5, having achieved our first 200% in the first half year of using the software.
Independent Contractor Hearing Examiner
LAWYERBESLegal Services, 201-500 employees