Which package to use to connect R with MongoDB?

I wonder what are the main differences between rmongodb and RMongo packages for connecting R with MongoDB. What are the advantages and disadvantages of these two packages?

Solution

library(rmongodb)

your connection details will likely differ from these defaults

host <- "someone.com:10200"
username <- "myuser"
password <- "mypassword"
db <- "testdatabase"

connect to mongo and then create function has the following signature

mongo <- mongo.create(host=host , db=db, username=username, password=password)

Also

> library("RMongo")
> mongo  < - mongoDbConnect("db")

RMango: MongoDB Database interface for R. The interface is provided via Java calls to the mongo-java-driver.
rmongodb: This R package provides an interface to the NoSQL MongoDB database using the MongoDB C-driver.

While RMongo package is very straight-forward and user-friendly, it did take me a while to figure out how to specify a query with rmongodb package

Supported Functionality by rmongodb

Connecting and disconnecting to MongoDB Querying, inserting and
updating to MongoDB including with JSON and BSON Creating and
handling BSON objects Dropping collections and databases on MongoDB
Creating indices on MongoDB collections Error handling Executing
commands on MongoDB Adding, removing, handling files on a "Grid File
System" (GridFS) on a MongoDB server High Level functionality as
mongo.apply, mongo.summary, mongo.get.keys, ...