SQL > Mongo?

I’ve previously talked about translating/moving data from Mongo to SQL, but how about the reverse of that?! 

Mongify
data translator for moving your SQL data to MongoDB.

Mongify helps you move your data without worrying about the IDs or foreign IDs. It even allows you to embed your data into other documents.

 

Link

MongoSQL

What is mongoSQL?

mongoSQL is a free Mac, Windows, Linux/Unix and Web client UI application that talks directly to MongoDB by MongoDB, Inc.  It does not require any other server software other than MongoDB.  SQL scripts can be created, executed, saved and opened from the UI.  When executed, the SQL is translated behind the scenes into the appropriate MongoDB API calls.  Data can be inserted, updated, deleted and selected.  Selected documents are returned and displayed.  The user only has to work with familiar SQL syntax and not with the JSON and/or Javascript that the MongoDB shell and APIs require.  (Although for more expert MongoDB users, the SQL can be dissected and the corresponding JSON and/or Javascript will be displayed.)

 

Why mongoSQL?

Using SQL to query and filter unstructured data, such as that in Big Data databases like MongoDB, is sometimes debated.  Many people believe that SQL is not really the best tool.  While that is true sometimes, for many jobs it is definitely up to the task.  It carries with it some of the same limitations as MongoDB, such as no joins.  But it supports simple and complex SQL along with aggregation that can optionally use either MongoDB’s aggregation framework or map reduce.  There are no architectural changes necessary because mongoSQL is a client UI.

The most likely users of mongoSQL are people who:

– Are more comfortable with SQL than with writing JSON / Javascript when specifying conditions, aggregations, sorts, etc.

– Do not want to commit architecturally yet to additional Big Data tools.

– Are not proficient with the available Big Data tools or do not require much of the functionality of these tools.

– Want to use a friendly SQL UI.

– Need to vet and possibly modify MongoDB data directly.

– Want to translate SQL into the necessary JSON / Javascript required by the MongoDB shell or API.