CouchDB Pros and Cons

Easy to attain solutions at ground level. We analyzed various NoSQL solutions for our project and finalizd CouchDB as Persistancy. That made us the finest solution for our project owned. CouchDB offered to easy integration with web services and connection pools. One important aspect we liked more is its GUI and their capabilities. The awesome GUI gives more enhanced accessbility from beginners to professionals. CouchDB logging system is giving a way to easy the process of error handlings and runtime blockers. It is a handy to figure out production and live issues on products. Another kudos goes to CouchDB documentations. The structured documents give a clear understanding of the idea and solutions CouchDB matters. That helped us to grip the soultion with our implementation. CouchDB's replication handlers play a vital feature of solution. When we approached the soultion with our implementation, we have not faced any hinderance with services. Obvious the CouchDB's querying systems sense a much plain keywords and meaningful. This makes a readable plain complex query to attain different set of models and data feeds. More over CouchDB is a proving solution as an application package and delights developers to stick with their services than inner complexities. Review collected by and hosted on G2.com.

More discussions would like to happen at public forum.

Reach more online platforms.

Annouce more bounty program in online portals. Review collected by and hosted on G2.com.

First of all CouchDB is a NoSQL database, since I am a full stack developer I have worked with SQL and NoSQL databases what make me more comfortable and more easier to manage feeling is always can be get via NoSQL database. thats the best part in CouchDB and couchDB is offline friendly when we compare this with other competitor NoSLQ databases as per my experience and knowledge Google firebase also provide this feature in a different way. but when it comes to deployment we relay on a different server but in CouchDB its not like that we can deploy it in our own server! and last but not least the cost is lower than Firebase and it's a open source project by Apache so even I can be a part of it. Review collected by and hosted on G2.com.

What I felt as a drawback or a disadvantage is its basically do not have a built in full stack search and since its a JSON typed single node might be the load is pretty high. Review collected by and hosted on G2.com.

Light weight NoSql data store very easy to install and can host on own server.

Save data in document based on JSON structures and accessing JSON is programmatically easy to parse and therefore makes it fast to query and view.

Additional drivers are no need to work with CouchDB. The Rest API is enough to read data. Review collected by and hosted on G2.com.

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.

Documentation is always helpful but it took time to understand how indexing and views worked.

CouchDB software adapters are limited so mainly have a couch-rest library for rails app. Review collected by and hosted on G2.com.

CouchDB is one of the best document based data handling platform which is most like me its easy handling mechanism, Map-Reduce implementation, ORM tool Ektorp, Hibernate OMG. Another interesting feature is to manipulate data in browser without using any third party graphical UI. Review collected by and hosted on G2.com.

I have faced in difficulties to handle complex queries. It is not so easy to make search api using relational document like full-text search etc. Review collected by and hosted on G2.com.

Best for offline usage.

Replication.

If the availability of data is the main motivation than consistency. Content-based sites where you want to show movies, music, images and their metadata. Where the transaction is not important.

The replication happens from higher revision id documents to lower revision Id Documents. A simple and effective way to manage. Review collected by and hosted on G2.com.

The conflict resolution of documents.

Very slow in querying large data sets.

Not suitable for payment and analytics operation. The whole replication process stops when there is a single conflict in the document. Review collected by and hosted on G2.com.

CouchDB is schema-free, support easy replication, have simple API, eventually consistent, and can handle huge amounts of data (big data). The architectural design of CouchDB makes it extremely adaptable when partitioning databases and scaling data onto multiple nodes. CouchDB supports both horizontal partitioning and replication to create an easily managed solution for balancing both read and write loads during a database deployment. Review collected by and hosted on G2.com.

In-place updates require server-side logic (update handlers).

Temporary views on large datasets are very slow. Review collected by and hosted on G2.com.

in couchdb we can store any kind of data like json ,html ,etc. Review collected by and hosted on G2.com.

it is somehow how seems little slow than RDBMS Review collected by and hosted on G2.com.

I like that it's built on Erlang system and thus its fault tolerant Review collected by and hosted on G2.com.

JSON model is a little more complicated to create model for compared to MongoDB. Review collected by and hosted on G2.com.

CouchDB is the easiest database manager to install of all the ones I've tried. In addition, maintenance is very easy. On the other hand, it scales the documents very well. It has a replication protocol that is very useful for creating servers. Review collected by and hosted on G2.com.

There is not much online documentation about this database manager and the learning curve is usually a bit slow because despite not being a complex software, learning to use the interface requires some time. Review collected by and hosted on G2.com.

Its relatively easy to set up multiple nodes. Review collected by and hosted on G2.com.

CouchDB can only be good for smallish data sets . Review collected by and hosted on G2.com.