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A poor mans BigTable on top of SQL for Node.js.
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Latest commit 58ca159 Jul 16, 2012 @koenbok Fixed packaging bug
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test Added connection pooling Jun 7, 2012
.gitignore Initial Apr 6, 2012
Makefile Added connection pooling Jun 7, 2012 Fixed read me error Jul 14, 2012
package.json Fixed packaging bug Jul 16, 2012 Cleanup Jul 14, 2012


Simple key value implementation on top of old fashioned sql.


Some stuff I like for storing my data

  • A very simple engine with a minimal api (get, put, del, query) so it can be replaced with something more optimized if needed
  • Old fashion storage engines that you can hire as a service and install locally
  • options (sqlite, mysql, postgresql)
  • Data model flexibility, no schemas
  • Enforce querying on indexes, so they are always fast
  • Separating indexes from the actual data, and dynamically generating them on put
  • The ability to cheat on all of the above if you need it
  • Transactions and aggregates

Obvious downsides

  • No type checking, validation etc.
  • Not very space efficient (index is data copy)
  • Definitely not the fastest way to store data

Simple Example

models = 
        kind: "person"
            age: {type: "int", getter: (data) -> data.age}

data =
    key: utils.uuid()
    kind: "person"
    name: "Koen Bok"
    age: 29

backend = new PostgresBackend "postgres://localhost/test"
store = new Store backend, [models.person]

store.create (err) ->

    # Store a person (upsert)
    store.put data, (err) ->

        # Get a person by key
        store.get "person", data.key (err, result) ->
            console.log result

        # Query persons older then 10 years
        store.query "person", {"name >": "10"}, (err, result) ->
            console.log result


new Backend <"dsl">, <[models]>

store.create <"kind">, callback
store.get <"kind">, <"key", [keys]>, callback
store.put <"kind">, <{data}, [{data}]>, callback
store.del <"kind">, <"key", [keys]>, callback
store.query <"kind">, <{filters}>, callback

Run the tests

make test


REST API example using express. Deployable to Heroku.


  • Make it work in the browser with websql database
  • Add middleware system and implementations (caching, serializing, performance, logging, structured data validation, authentication)
  • Add events action.pre|post
  • Refactor transactions to be objects
  • Refactor query pattern to something nicer (allowing querying on multiple indexes)


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