CouchDB

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What is CouchDB?

CouchDB Technical Details

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Reviews From Top Reviewers

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Easy to setup, flexible and highly available. All you need to do is relax on the CouchDB

Rating: 8 out of 10

March 11, 2019

Johanes Siregar

Risk Insight Product

Telkomsel (Telecommunications, 1001-5000 employees)

Vetted Review

Verified User

2 years of experience

Pros

Serialized objects can be stored as unstructured data in JSON formatted documents highly desirable for Web and Mobile Applications.
RESTful HTTP API provides flexible and seamless database operations.
Scalable distributed high availability solution with replication capability for redundant data storage.

Cons

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.

CouchDB for analytics

Rating: 9 out of 10

March 31, 2017

Sean Lang

Developer

Carrot - a VICE company (Broadcast Media, 201-500 employees)

Vetted Review

Verified User

3 years of experience

Pros

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.

Cons

The HTTP content type headers aren't explicitly set to `application/json` when you make a request with your browser. They incorrectly respond with `text/plain`. This issue has been reported multiple times, and even had patches proposed, but so far they've been rejected.
CouchDB doesn't support returning gzipped responses. You can get around this by using nginx in front of your CouchDB servers, but it could be faster if it was supported directly.
Even in clustered mode, CouchDB nodes aren't able to share computed view data through replication. Each node needs to compute it on their own, which is a little wasteful.

CouchDB - The Hidden Gem of NoSQL Databases

Rating: 10 out of 10

March 08, 2017

Dave Lundberg

CTO & Co-founder

Datawhere.com (Computer Software, 11-50 employees)

Vetted Review

Verified User

5 years of experience

Pros

Technically easy to use and integrate. REST API allows CouchDB to work with all technologies we use: node.js, lua, python, Elasticsearch, Logstash, etc. Our experience is that it is very robust and has been trouble-free to sue for over 5 years of heavy daily use.
Using map/reduce allows us to quickly implement new views into our customer's data based on their needs. Easy to develop new features based on CouchDB's view/list/show mechanism. Functions are written in Javascript, which allows a broad range of our developer's to understand and contribute to code.
NoSQL is wonderful for our data set. We support format-specific metadata for many thousands of different file types without the need to change schemas or anything else. We find that CouchDB allows us to focus more on our applications and customers and less on back-end design.
Scales for us well. We have 100's millions of documents, many with binary attachments, stored in thousands of databases. Running on some fairly meager hardware distributed across multiple locations. There is not difference in performance today as when we had a few thousand documents when we started.
Replication model is very nice and simple. And fast! We use it for obvious things like backups & redundancy. But we also use it for deploying software updates and for remote data colleciton from customer sites.

Cons

CouchDB's documentation is a bit lacking. The technical bits are all there from Apache, but meaningful examples are hard to find. I would say the learning curve is a few months to get fluent. Not that CouchDB is too complex, but it has a design that takes some effort to understand and leverage. But for us the results have been more than worth it.
CouchDB could use some better tools for managing & administrating itself. We have many thousands of CouchDB databases and had to invest a bit of development effort to be able to managing it all. But the REST API is simple, there are node.js modules like cradle, etc that minimze any challenges we have had.
It is not widely used. Or if it is, not a lot of people are admitting to it! This may be a concern if you are looking for people that have CouchDB experience to work on your project.

CouchDB has a worse performance than AWS S3

Rating: 2 out of 10

March 08, 2017

Josh Stapp

Sr. Software Engineer

Performics (Computer Software, 201-500 employees)

Vetted Review

Verified User

1 year of experience

Verified on LinkedIn

Pros

Can host on your own server
Views can do complex things to show subsets of data
Install was easy

Cons

SUPER SLOW. We do tons of data and S3 and just using the file system were both way faster
Using views is too complex
Stores entire DB as 1 file, good luck when it becomes many TB

CouchDB Fanboy

Rating: 10 out of 10

March 08, 2017

LeVar Berry

Chairman & CEO

eDriven Studios (Information Technology and Services, 1-10 employees)

Vetted Review

Verified User

1 year of experience

Pros

Ease of install and setup.
Ease of syncing with another database. This was truly set it and forget it.
The REST API to read data. No additional drivers are needed to work with CouchDB.

Cons

Documentation is always helpful. Took a while to understand how indexing and views worked.
User security was a bit hard to set up. Still don't believe we have it correct.
It returns data in a non-standard way than we've found with other packages like MongoDB. Caused a few days of head scratching until we realized what we were looking at.