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DevOps engineer worked in multiple projects
What do you like best about the product?
Can run a single logic DB in multiple servers
What do you dislike about the product?
Structure is not defined clearly from the beginning
What problems is the product solving and how is that benefiting you?
Because of master slave replication, we are able to save datas and protect from data loss
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The best NoSql database
What do you like best about the product?
The best thing couch db is its documentation and support.
The documentation is very helpful when you are stuck at something and their support is top notch
The documentation is very helpful when you are stuck at something and their support is top notch
What do you dislike about the product?
Installation process and initial setup could be better
What problems is the product solving and how is that benefiting you?
The API are very useful which helps in faster development
Good
What do you like best about the product?
Good to use couch db better db fast one use it
What do you dislike about the product?
Not much as of now as it's going good for now
What problems is the product solving and how is that benefiting you?
Data replication
A unique DB, easy to query
What do you like best about the product?
Too easy, it's very userfriendly and offline first DB. We can simply query by REST API, no need for writing complex queries or installing drivers. Easy Integration with apps
What do you dislike about the product?
There are some advanced Big Data operations which is tricky to use, and it's difficult to perform complex queries. Performance might be a concern
What problems is the product solving and how is that benefiting you?
It skips the painful need for wrting SQL queries, and no need to write backend for making simple queries from DB for a small application
Excellent DB
What do you like best about the product?
CouchDB installation process is simple and easy to understand. Perfect Database that Scales quickly
What do you dislike about the product?
Better documentation is required for the developers
What problems is the product solving and how is that benefiting you?
Scalability
Couchdb
What do you like best about the product?
Couchdb is a very good platform to learn more about NoSQL as a user can easily create the database simply by clicking in create a database and performing other actions like delete add new doc new view or mango index very easily.
What do you dislike about the product?
I agree couchdb is good start for a user who is learning the NoSql but for a new user they need practice and may take some time to learn new concepts and understand the complete interface.
What problems is the product solving and how is that benefiting you?
Couchdb is very great for leaning the NoSql concepts like data replication and how a database would be created so easily. As user can write the code as well as thy can simply use the predefined buttons/ opetions to perform the particular thing like for creating the database they just have to click on create database.
Simple NoSQLDatabase
What do you like best about the product?
What I like most about CouchDB is we can host it on our private server. I use CouchDB as part of my client project, and it allows me to store different types of data as a document. It supports rest API calls and provides various features to filter data from databases using API calls.
What do you dislike about the product?
CouchDB community support is not promising at all. There are not many public response forms to discuss the functionalities. Even in StackOverflow, there is not much response to developers' questions. I feel there is much needed to develop a community like MongoDB.
What problems is the product solving and how is that benefiting you?
I use CouchDB as part of a client project. As per my experience using CouchDB, not much impressed with the data filters offered by CouchDB. But It supports Rest API calls, making it easy for me to fetch corresponding data from DB. It provides hosting options on any server that allows scalability to my projects.
Recommendations to others considering the product:
I will not recommend CouchDB to all customers. But developers can try out CouchDB and check whether it met their project requirements. It comes up with value for money features, and if it matches your project requirement, then you can go for it because it is less expensive compared to other NoSQL databases.
High Availability Cluster DB Solution of Choice
What do you like best about the product?
Since by design Couch DB is made for high availability its enables us to create highly reliable services and a great API provides seamless integration with the rest of the ecosystem.
The replication mechanism is the best and highly configurable so as for different customers different configurations can be enabled. Remote monitoring is also a highlight which helps to diagnose problems in advance and take corrective actions as needed
The replication mechanism is the best and highly configurable so as for different customers different configurations can be enabled. Remote monitoring is also a highlight which helps to diagnose problems in advance and take corrective actions as needed
What do you dislike about the product?
The general availability of skilled engineers with CouchDB skillset is a persistent problem. This results in a long ramp up for the joined and it takes time for them to develop their skillset and be up to speed
What problems is the product solving and how is that benefiting you?
Provide high availability data storage solution for critical processes. The solution must be fault-tolerant and highly scaleable
Recommendations to others considering the product:
Setup a good training plan in case there is a lack of a skilled workforce. A step up step training plan in this technology will go a long way to increase productivity for the team
yes,couchdb is a nice nosql database which has comes up with user friendly manner
What do you like best about the product?
in couchdb we can store any kind of data like json ,html ,etc.
What do you dislike about the product?
it is somehow how seems little slow than RDBMS
What problems is the product solving and how is that benefiting you?
we can use different kind of data using couchDB
Recommendations to others considering the product:
it is a nice database who feels to use NoSql.
Couch DB The best DB I have used, made my life easy as a developer
What do you like best about the product?
Pros of CouchDB are:-
CouchDB enable replication of itself easily which lead to data sharing among different devices.
CouchDB allow flexible data structure, means any type of data can be stored together.
CouchDB uses HTTP API for easy communication among database.
ReduceMap allow optimize combining of data
Document oriented database management! This alone is worth it: being able to describe your record in a JSON document, and then index it is HUGE.
You're able to store the SAME document in multiple database instances, and due to CouchDB's engine, it is not a problem.
FAST: Accessing JSON is programmatically easy to parse, and therefore makes it to choose
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.
CouchDB enable replication of itself easily which lead to data sharing among different devices.
CouchDB allow flexible data structure, means any type of data can be stored together.
CouchDB uses HTTP API for easy communication among database.
ReduceMap allow optimize combining of data
Document oriented database management! This alone is worth it: being able to describe your record in a JSON document, and then index it is HUGE.
You're able to store the SAME document in multiple database instances, and due to CouchDB's engine, it is not a problem.
FAST: Accessing JSON is programmatically easy to parse, and therefore makes it to choose
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.
What do you dislike about the product?
Cons of CouchDB are:-
CouchDB takes extra space for overhead, which is a major disadvantage as compare to other database.
Creating random queries, which do not have any view are expensive.
No built in full text search
Although there are ways: couchdb-lucene, elasticsearch
plus some more:
It doesn't support transactions
It means that enforcing uniqueness of one field across all documents is not safe, for example, enforcing that a username is unique. Another consequence of CouchDB's inability to support the typical notion of a transaction is that things like inc/decrementing a value and saving it back are also dangerous. There aren't many instances that we would want to simply inc/decrement some value where we couldn't just store the individual documents separately and aggregate them with a view.
Relational data
If the data makes a lot of sense to be in 3rd normal form, and we try to follow that form in CouchDB, we are going to run into a lot of trouble. A possible way to solve this problem is with view collations, but we might constantly going to be fighting with the system. If the data can be reformatted to be much more denormalized, then CouchDB will work fine.
Data warehouse
The problem with this is that temporary views in CouchDB on large datasets are really slow. Using CouchDB and permanent views could work quite well. However, in most of cases, a Column-Oriented Database of some sort is a much better tool for the data warehousing job.
CouchDB takes extra space for overhead, which is a major disadvantage as compare to other database.
Creating random queries, which do not have any view are expensive.
No built in full text search
Although there are ways: couchdb-lucene, elasticsearch
plus some more:
It doesn't support transactions
It means that enforcing uniqueness of one field across all documents is not safe, for example, enforcing that a username is unique. Another consequence of CouchDB's inability to support the typical notion of a transaction is that things like inc/decrementing a value and saving it back are also dangerous. There aren't many instances that we would want to simply inc/decrement some value where we couldn't just store the individual documents separately and aggregate them with a view.
Relational data
If the data makes a lot of sense to be in 3rd normal form, and we try to follow that form in CouchDB, we are going to run into a lot of trouble. A possible way to solve this problem is with view collations, but we might constantly going to be fighting with the system. If the data can be reformatted to be much more denormalized, then CouchDB will work fine.
Data warehouse
The problem with this is that temporary views in CouchDB on large datasets are really slow. Using CouchDB and permanent views could work quite well. However, in most of cases, a Column-Oriented Database of some sort is a much better tool for the data warehousing job.
What problems is the product solving and how is that benefiting you?
NoSQL databases represent a shift away from traditional relational databases and can offer many benefits (and their own challenges) as well. CouchDB offers us these features:
Easy replication of a database across multiple server instances
Fast indexing and retrieval
REST-like interface for document insertion, updates, retrieval and deletion
JSON-based document format (easily translatable across different languages)
Multiple libraries for your language of choice (show some of the popular language choices)
Subscribable data updates on the _changes feed
Availability
Consistency
Partition Tolerance
CouchDB fell into the AP camp (Availability and Partition Tolerance), which was what we were looking for for our own data concerns (not to mention the ability to replicate data on either a continuous or ad-hoc basis).
Easy replication of a database across multiple server instances
Fast indexing and retrieval
REST-like interface for document insertion, updates, retrieval and deletion
JSON-based document format (easily translatable across different languages)
Multiple libraries for your language of choice (show some of the popular language choices)
Subscribable data updates on the _changes feed
Availability
Consistency
Partition Tolerance
CouchDB fell into the AP camp (Availability and Partition Tolerance), which was what we were looking for for our own data concerns (not to mention the ability to replicate data on either a continuous or ad-hoc basis).
Recommendations to others considering the product:
CouchDB is particularly suitable for storing unstructured or semi-structured data that does not require strict fields and data types. JSON document with RESTful HTTP API for operation is highly desirable to be stored as a serialized object for Web and Mobile applications. However, NoSQL and Map-Reduce paradigm might be a significant hurdle to integrate with SQL-RDBMS system.Pros and cons found by me:
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.
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.
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.
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.
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