Apache CouchDB vs. MongoDB Atlas

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
CouchDB
Score 6.2 out of 10
N/A
Apache CouchDB is an HTTP + JSON document database with Map Reduce views and bi-directional replication. The Couch Replication Protocol is implemented in a variety of projects and products that span computing environments from globally distributed server-clusters, over mobile phones to web browsers.N/A
MongoDB Atlas
Score 8.5 out of 10
N/A
MongoDB Atlas is the company's automated managed cloud service, supplying automated deployment, provisioning and patching, and other features supporting database monitoring and optimization.
$57
per month
Pricing
Apache CouchDBMongoDB Atlas
Editions & Modules
No answers on this topic
Dedicated Clusters
$57
per month
Dedicated Multi-Reigon Clusters
$95
per month
Shared Clusters
Free
Offerings
Pricing Offerings
CouchDBMongoDB Atlas
Free Trial
NoNo
Free/Freemium Version
NoYes
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Features
Apache CouchDBMongoDB Atlas
NoSQL Databases
Comparison of NoSQL Databases features of Product A and Product B
Apache CouchDB
7.9
2 Ratings
11% below category average
MongoDB Atlas
-
Ratings
Performance8.02 Ratings00 Ratings
Availability8.52 Ratings00 Ratings
Concurrency8.52 Ratings00 Ratings
Security6.02 Ratings00 Ratings
Scalability8.02 Ratings00 Ratings
Data model flexibility7.02 Ratings00 Ratings
Deployment model flexibility9.02 Ratings00 Ratings
Database-as-a-Service
Comparison of Database-as-a-Service features of Product A and Product B
Apache CouchDB
-
Ratings
MongoDB Atlas
9.3
5 Ratings
6% above category average
Automatic software patching00 Ratings9.55 Ratings
Database scalability00 Ratings9.05 Ratings
Automated backups00 Ratings9.55 Ratings
Database security provisions00 Ratings9.55 Ratings
Monitoring and metrics00 Ratings9.55 Ratings
Automatic host deployment00 Ratings9.05 Ratings
Best Alternatives
Apache CouchDBMongoDB Atlas
Small Businesses
IBM Cloudant
IBM Cloudant
Score 8.2 out of 10
IBM Cloudant
IBM Cloudant
Score 8.2 out of 10
Medium-sized Companies
IBM Cloudant
IBM Cloudant
Score 8.2 out of 10
IBM Cloudant
IBM Cloudant
Score 8.2 out of 10
Enterprises
IBM Cloudant
IBM Cloudant
Score 8.2 out of 10
IBM Cloudant
IBM Cloudant
Score 8.2 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Apache CouchDBMongoDB Atlas
Likelihood to Recommend
9.0
(10 ratings)
10.0
(5 ratings)
Likelihood to Renew
9.0
(9 ratings)
-
(0 ratings)
Usability
8.0
(1 ratings)
-
(0 ratings)
Support Rating
-
(0 ratings)
10.0
(2 ratings)
Implementation Rating
9.0
(1 ratings)
-
(0 ratings)
User Testimonials
Apache CouchDBMongoDB Atlas
Likelihood to Recommend
Apache
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.
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MongoDB
I would recommend MongoDB Atlas to every company who have a significant need in the NoSQL database and do not want to manage their infrastructure. Using MongoDB Atlas can significantly reduce your management time and cost, which saves valuable resources for other tasks. It also suits a smaller company as MongoDB Atlas scales up and down very quickly.
Read full review
Pros
Apache
  • 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.
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MongoDB
  • DB Provisioning.
  • DB Management.
Read full review
Cons
Apache
  • 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.
Read full review
MongoDB
  • As an independent entity, MongoDB Atlas is not included in existing subscriptions from AWS or Azure, requiring an additional support plan and reliance on a third party.
Read full review
Likelihood to Renew
Apache
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.
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MongoDB
No answers on this topic
Usability
Apache
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
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MongoDB
No answers on this topic
Support Rating
Apache
No answers on this topic
MongoDB
We love MongoDB support and have great relationship with them. When we decided to go with MongoDB Atlas, they sent a team of 5 to our company to discuss the process of setting up a Mongo cluster and walked us through. when we have questions, we create a ticket and they will respond very quickly
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Implementation Rating
Apache
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
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MongoDB
No answers on this topic
Alternatives Considered
Apache
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-theorem https://www.couchbase.com/nosql-resources/why-nosql\ https://www.infoq.com/articles/cap-twelve-years-later-how-the-rules-have-changed
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MongoDB
MongoDB Atlas has been in the market for very long time and there are bunch of documentation, training and support for it. It also is specifically designed for the use case similar to our project and big companies in the market uses them for very high load which made us confident about our choice.
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Return on Investment
Apache
  • 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.
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MongoDB
  • Improved our maintainability
  • Reduced daily work compared to self-hosted solutions
  • Reasonable pricing compared to value
Read full review
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