MongoDB or CouchDB - fit for production

Question

I was wondering if anyone can tell me if MongoDB or CouchDB are ready for a production environment     I m now looking at these storage solutions  I m favouring MongoDB at the moment   however these projects are quite young and so I foresee that I m going to have to work quite hard to convince my manager that we should adopt this new technology   What I d like to know is    Who is using MongoDB or CouchDB today in a production environment  How are you using MongoDB CouchDB  What problems  if any  did you come across when you adopted this new storage mechanism  and how did you overcome them   How did you deal with any migration issues that you had to deal with  Do you have any good bad experiences with either of these solutions that you d like to share

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MongoDB has some issues with licensing to businesses  I am not sure of the details but our legal department told us in no certain terms that we were not allowed to use MongoDB in any of our products

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We are using MongoDB in production in our mobile backend service namely Netmera  We are using it to store all user and content data

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We are currently using mongodb as an file storage service for our collaboration over LAN  Also  projects like trello are using mongodb as their backend datastore  I have used couchdb earlier  but not in production capacity

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Speaking production   seamless failover recovery  both require a baby sitter  1- Couchbase  there is no seamless failover recovery  manual intervention is required  rebalancing takes too much time  too much risk if more than one node get lost    2- Mongo with shards  data recovery from loosing a config server  is not an easy task

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We are currently using MongoDB in production as the caching layer as well as storage engine for product importing and manipulating product data  We are an eCommerce company managing over two million products  100  million attributes   spanning 10  distributors and without MongoDB  this task would be nearing impossible

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This question has already accepted answer but now a days one more NoSQL DB is in trend for many of its great features  It is Couchbase  which runs as CouchbaseLite on mobile platform and Couchbase Server on your server side   Here is some of main features of Couchbase Lite   Couchbase Lite is a lightweight  document-oriented  NoSQL   syncable database engine suitable for embedding into mobile apps   Lightweight means   Embedded   the database engine is a library linked into the app  not a separate server process  Small code size   important for mobile apps  which are often downloaded over cell networks  Quick startup time   important because mobile devices have relatively slow CPUs  Low memory usage   typical mobile data sets are relatively small  but some documents might have large multimedia attachments  Good performance   exact figures depend on your data and application  of course   Document-oriented means   Stores records in flexible JSON format instead of requiring predefined schemas or normalization  Documents can have arbitrary-sized binary attachments  such as multimedia content  Application data format can evolve over time without any need for explicit migrations  MapReduce indexing provides fast lookups without needing to use special query languages   Syncable means   Any two copies of a database can be brought into sync via an efficient  reliable  proven replication algorithm  Sync can be on-demand or continuous  with a latency of a few seconds   Devices can sync with a subset of a large database on a remote server  The sync engine supports intermittent and unreliable network connections  Conflicts can be detected and resolved  with app logic in full control of merging  Revision trees allow for complex replication topologies  including server-to-server  for multiple data centers  and peer-to-peer  without data loss or false conflicts  Couchbase Lite provides native APIs for seamless iOS  Objective-C  and Android  Java  development  In addition  it includes the Couchbase Lite Plug-in for PhoneGap  which enables you to build iOS and Android apps that you develop by using familiar web-application programming techniques and the PhoneGap mobile development framework   You can explore more on Couchbase Lite  and  Couchbase Server  This is going to the next big thing

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SourceForge uses MongoDB  See this presentation or read here

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We are running CouchDB as a replacemant for MySQL for our shops  70 0000 items shop  a total of 4 million attributes of all items  cross connections between items    Our goals were    Easy replication from a master-db to several clients with different documents  Fast pre-calculated data like  how many parts do I have with this attribute and that filter  fitting to those conditions    facts     Our shops are now running much faster than with MySQL  and mysql-database needed additionaly  1-3 days of pre-calculating  so updating was twice a month   making the data ready for product counting and filtering  CouchDB needs 5 hours  so we could update product data every night  Setting up  filtered  data distribution  amp  backups to the shop nodes is fast and easy   but also    Understanding map reduce and the limits of not having joins is quite hard No operation on data like  delete where  or  update where  without external programs  Replication works well  unless there is a problem  then it s really hard to find out what was the reason  for beginners  The installation of CouchDB without binaries  yes there are a some in the wild  but not for every OS version  could be hard  if you are not a Linux geek  But the CouchDB Community is helpful   couchdb   and luckily there are companies out there  cloudant  iriscouch  that offer services from free to big business  CouchDB is moving forward  so there are a lot of changes  improvements  going on that might change they way you work  But basic things remain stable     As a result  MySQL as a database for data creation and maintaining is reliable and easy to understand and handle  I think we will not change this   But I also don t want to miss the power of CouchDB views and the ease of replication setup   Production couches sometimes caused trouble after months of work due to misconfiguration and forgotten logrotates  view building takes too long or hangs  replication stops   but never lost data  and always could be easily reset

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I have been using CouchDB in production for almost 2 years now  There s no migration work as the project started of directly with CouchDB implementation  It serves as a database that stores the data of a single electronic product from beginning till packaging   Since we are selling sensor with a demand on high accuracy  we do a lot of test at different stage and all these will be stored into one document on CouchDB   There s some learning curve that I learnt from my experience  which is to make full use of the views  or also known as permanent views   Views should be  small filter  of a fraction of the Database that will be called often   My CouchDB databse is not as crazy as other gigantic company  But so far  I m still doing fine  Currently I m having 24000 documents at 700MB    Feature from CouchDB that I like is  replication    store revisions of a document    I d read a lot of good reviews on MongoDB and I will want to try it if there s a chance

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Adobe is using MongoDB for their upcoming release of Adobe Experience Manager  formerly Day CQ  as the core DB engine   Several client s at the agency I work at are using CouchDB on projects for large clients   Both are great and viable DBs  in my opinion

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I m the CTO of 10gen  developers of MongoDB  so I m a bit biased  but I also manage a few sites that are using MongoDB in production   businessinsider has been using mongo in production for over a year now   They are using it for everything from users and blog posts  to every image on the site   shopwiki is using it for a few things including real time analytics and a caching layer  They are doing over 1000 writes per second to a fairly large database   If you go to the mongodb Production Deployments page you ll see some people who are using mongo in production   If you have any questions about the scale or scope of production deployments  post on our user list and we ll be more than happy to help

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CouchDB 0 11  released at the end of March  is a feature-freeze release for 1 0  This means we ll be maintaining compatibility with the current API for 1 0  so now is a good time to take another look at CouchDB if you haven t in a while   The CouchDB 0 11 source code release is available here  There are binary installers and other goodies linked here

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We are using mongodb in production for   www beachfront io - close to 5k write request per sec www beachfrontbuilder com - 500 read write request per sec  maintain 10m users data  amp  olap   The only challenge faced around archiving of data  we overcome by implementing our custom component

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I don t know anything about MongoDB  but from the CouchDB FAQ      Is CouchDB Ready for Production       Yes  see InTheWild for a partial list of projects using CouchDB  Another good overview is CouchDB Case Studies   Also  some links    Re  Current CouchDB state  SimpleDB  CouchDB and Other  NEW  Data Stores - Feedback

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We use CouchDB to store mobile inbound and outbound messages and to report on this traffic via some custom views that I wrote   The front-end is written in Python   We did not have any real technical issues  and it has been running since the end of December   The only hurdle I encountered was initially thinking in terms of MapReduce  but once I learned how to do that  everything else went smoothly

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We use couchdb in production and have since just before the project went under the Apache umbrella   We use it to store everything that we might otherwise use a dbms  plus all sorts of unstructured data   Personally  I really like how you can just throw all sorts of data into it and use the views to cull what you don t need depending on the situation   The hardest part was moving away from the dbms mindset   We wrote our own migration utils when the storage format changed just to be safe  so that wasn t really a problem   We haven t had any negative experiences yet  but then again we haven t had the setup under any kind of huge load   I think things would work pretty well since we have two slave type servers that replicate from a single master server that gets all of the writes   I m pretty sure that we don t have to do it that way for replication to work correctly  but it s how we set it up in the beginning and it stuck

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I am using CouchDB in production  Currently it stores all those  optional  fields that weren t in the original DB schema  And right now I am thinking about moving all data to CouchDB    It s quite a risky step  I admit  Firstly  because it s not v1 0 yet  And secondly  because it is drivespace-hungry  By my calculations  CouchDB file  with indexes  is  30 times larger than MySQL database with the same rows   But I am pretty sure it will work out just fine

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Here s a list of production deployed sites with mongoDB   The New Yorks Times  Using it in a form-building application for photo submissions  Mongo s lack of schema gives producers the ability to define any combination of custom form fields  SourceForge  is used for back-end storage on the SourceForge front pages  project pages  and download pages for all projects  Bit ly Etsy IGN  powers IGN   s real-time traffic analytics and RESTful Content APIs  Justin tv  powers Justin tv s internal analytics tools for virality  user retention  and general usage stats that out-of-the-box solutions can t provide  Posterous Intuit Foursquare  Sharded Mongo databases are used for most data at foursquare  Business Insider  Using it since the beginning of 2008  All of the site s data  including posts  comments  and even the images  are stored on MongoDB  Github  is used for an internal reporting application  Examiner  migrated their site from Cold Fusion and SQL Server to Drupal 7 and MongoDB  Grooveshark  currently uses Mongo to manage over one million unique user sessions per day  Buzzfeed Discus Evite  Used for analytics and quick reporting  Squarespace Shutterfly  is used for various persistent data storage requirements within Shutterfly  MongoDB helps Shutterfly build an unrivaled service that enables deeper  more personal relationships between customers and those who matter most in their lives  Topsy Sharethis Mongohq  provides a hosting platform for MongoDB and also uses MongoDB as the back-end for its service  Our hosting centers page provides more information about MongoHQ and other MongoDB hosting options    and more     Extracted from  http   lineofthought com tools mongodb  You can check other databases or tools there too

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The BBC and meebo com use CouchDB in production and so does one of my clients  Here is a list of other people using Couch  CouchDB in the wild  The major challenge is to know how to organize your documents and stop thinking in terms of relational data

[database] MongoDB or CouchDB - fit for production?

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