Apache CouchDB vs. MongoDB

Apache CouchDB

30 Reviews and Ratings

MongoDB

437 Reviews and Ratings

Overview
Product	Rating	Most Used By	Product Summary	Starting Price
CouchDB	Score6 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	Score8.5 out of 10	N/A	MongoDB is an open source document-oriented database system. It is part of the NoSQL family of database systems. Instead of storing data in tables as is done in a "classical" relational database, MongoDB stores structured data as JSON-like documents with dynamic schemas (MongoDB calls the format BSON), making the integration of data in certain types of applications easier and faster.	$0.10 million reads

Pricing

CouchDB

MongoDB

No answers on this topic

Shared: $0
per month
Serverless: $0.10million reads
million reads
Dedicated: $57
per month

Pricing Offerings
CouchDB	MongoDB
Free Trial
No	Yes
Free/Freemium Version
No	Yes
Premium Consulting/Integration Services
No	No

No setup fee

No setup fee

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Fully managed, global cloud database on AWS, Azure, and GCP

Community Pulse
Key User Insights
	CouchDB	MongoDB
Considered Both Products	Apache Johanes Siregar Risk Insight Product in Information Technology at Telkomsel (Telecommunications, 1001-5000 employees) Chose CouchDB Compared to MongoDB, CouchDB's Map-Reduce paradigm poses a steeper learning curve for SQL users. However, CouchDB's master-master replication is an advantage of implementing a load-balanced solution. Even though, currently, CouchDB has strong community support, as an open … Incentivized Helpful? Sean Lang Developer in Research & Development at Carrot - a VICE company (Broadcast Media, 201-500 employees) Chose CouchDB MongoDB and CouchDB are both document stores, but their concurrency models and ability to scale are very different. MongoDB cannot replicate / shard over unreliable links and network partitions have been the cause of data loss in the past. MongoDB has an easier query language … Incentivized Helpful? LeVar Berry Chairman & CEO in Corporate at eDriven Studios (Information Technology and Services, 1-10 employees) Chose CouchDB We looked at MongoDB and Firebase. MongoDB gives us the best working db engine with a very intuitive design. However, it does not work as well offline. Firebase was extremely hard to create searching and indexing. Using a third-party to search didn't work for us or at least it … Incentivized Helpful? Verified User Chose CouchDB I have briefly used MongoDB in other products, and it proved that it had better integration capabilities with Ruby on Rails and node.js software platforms, more than CouchDB. But I never had the chance to actually replace CouchDB with MongoDB in the current product to see what … Incentivized Helpful? Dave Lundberg CTO & Co-founder in Engineering at Datawhere.com (Computer Software, 11-50 employees) Chose 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 … Incentivized Helpful? Verified User Chose CouchDB It stacks up well against Mongo DB. Mongo DB definitely has more marketing and developer and customer mindshare because it is so widely known. Incentivized Helpful?	MongoDB Ronald Melendez Desarrollador de software in Research & Development at Global Consulting (Computer Software, 51-200 employees) Chose MongoDB MongoDB is probably the most famous NoSQL database of the moment. it has become one of the most promising startups. Some companies that currently use MongoDB are Foursquare or eBay. This type of database is designed to perform queries and aggregations on large amounts of data. … Incentivized Helpful? Jon Kern Manager Strategic Products in Information Technology at Intelliquip, LLC (Computer Software, 11-50 employees) Chose MongoDB I only briefly looked at CouchDB after I already began using MongoDB. Naturally, I have used many relational SQL databases. Since MongoDB did everything I needed, I saw no need to look around for alternatives. Incentivized Helpful? Jeff Sherard Senior Leader in Engineering at GHX (Hospital & Health Care, 501-1000 employees) Chose MongoDB MongoDB was the most full-featured NoSQL database we evaluated - that offered atomic transactions at a document level, built-in HA & DR, open source, robust queries, and enterprise level support. Other platforms had specific parts of what we were looking for - MongoDB had it all. Incentivized Helpful? Arnold Daniels Freelance web developer in Engineering at Jasny (Internet, 1-10 employees) Chose MongoDB MySQL is a great for querying related data, but it's unable to store structured data and has a fixed schema. Also SQL can be non-intuitive. DynamoDB, CouchDB and Redis all make querying the data quite difficult and lack important features. The problem CouchDB tries to solve is … Incentivized Helpful? Fareed Abolhassani Information Technology Manager in Information Technology at rit (Information Technology and Services, 51-200 employees) Chose MongoDB MongoDB provides better performance on a big database. If you prefer to define indexes rather than a map/reduce function, MongoDB is good for you. It's quick to start it up and very easy to learn, basically no entry barrier. MongoDB's community is very welcoming. Incentivized Helpful? VenkataRamaRao Surapaneni Sr. SQL Server DBA / MySQL DBA / MongoDB DBA in Engineering at OpenTable (Internet, 501-1000 employees) Chose MongoDB Cassandra, CouchDB were master less technology platforms. MongoDB single master per shard is well suited for many business models Incentivized Helpful?
	Would buy again
	No answers on this topic	No answers on this topic
	Delivers good value for the price
	No answers on this topic	No answers on this topic
	Happy with the feature set
	No answers on this topic	No answers on this topic
	Lived up to sales and marketing promises
	No answers on this topic	No answers on this topic
	Implementation went as expected
No answers on this topic	No answers on this topic

Features

CouchDB

MongoDB

Comparison of NoSQL Databases features of Apache CouchDB and MongoDB
Feature	Apache CouchDB 7.9 2 Ratings	MongoDB 10.0 39 Ratings
Performance	8.02 Ratings	10.039 Ratings
Availability	8.52 Ratings	10.039 Ratings
Concurrency	8.52 Ratings	10.039 Ratings
Security	6.02 Ratings	10.039 Ratings
Scalability	8.02 Ratings	10.039 Ratings
Data model flexibility	7.02 Ratings	10.039 Ratings
Deployment model flexibility	9.02 Ratings	10.038 Ratings

User Ratings
	CouchDB	MongoDB
Likelihood to Recommend	9.0 (10 ratings)	10.0 (79 ratings)
Likelihood to Renew	9.0 (9 ratings)	10.0 (67 ratings)
Usability	8.0 (1 ratings)	10.0 (15 ratings)
Availability	- (0 ratings)	9.0 (1 ratings)
Support Rating	- (0 ratings)	9.6 (13 ratings)
Implementation Rating	9.0 (1 ratings)	8.4 (2 ratings)