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A Different Kind of CouchDB Cheatsheet

Man, I really appreciate this sort of ☞ extensive notes someone takes while learning about a new system[1]. They are basically like cheatsheets or the “Learn NoSQL in 12 hours” books: they don’t turn you into an expert overnight, but they give you enough to wet your taste. And I’ll tell you my little secret: every time something sounds either too good or too bad, I go dig deeper just to make sure things are correct.

Matt Woodward’s post covers a ton of topics about CouchDB:

  • general concepts & history
  • why use CouchDB? (note I liked this section, but I’d take with a grain of salt everything about the simplicity of data modeling
  • is the relational model dead? (note well, my advise would be to avoid getting into this sort of RDBMS vs NoSQL broken conversations
  • more on “better fit for applications” (note an extensive form of CouchDB can change the architecture of your next web app
  • relational model vs document-based aka “key/value store” databases[1]
  • CouchDB pros and cons
  • when should you consider CouchDB
  • other document-based databases (note you should ignore this section as it’s basically incorrect, listing under this name a lot of other NoSQL projects that are not really document databases)
  • building, installing, running, basic interactions with CouchDB
  • creating, designing and versioning of documents
  • how documents are not like database records
  • queries (note: mapreduce, views, etc)
  • replication (note: this is where CouchDB 0.11 improved a lot
  • validation and security
  • document attachments

As another example of such useful notes, check these notes from learning and running MongoDB in production.


  • [1] The post is rather old, but I thought it’s definitely worth mentioning it. So make sure you check the new features added in CouchDB 0.11.0 ()
  • [2] Document databases are a more advanced form of key-value stores as documents are less opaque to their underlying storage and so document databases may support non primary key lookups. ()