SQL to MongoDB Converter

Convert SQL query to NoSQL (MongoDB) query.

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    How to use this SQL to MongoDB Converter Tool?

    Online SQL to MongoDB Example

    Below is an example of the original SQL to MongoDB and the result.

    Original SQL to MongoDB Example 
    select id,salary from employee where age >= 35 and (designation = 'manager' or (lastname = 'Darshit' and firstname like '%Darshit%'))

    And an example of how the online SQL to MongoDB works.

    SQL to MongoDB Result 
    db.employee.find({

   "$and": [{
   "age ":{ "$gte" :  35  } 
    },{
   "$or": [{
    "designation " :  'manager' 
 },{
   "$and": [{
   "lastname " :  'Darshit' 
 },{ " firstname " :  '%Darshit%'
   }]
   }]
   }]
},{
   "id": 1,
   "salary": 1
}
);

    How to use Yttags's SQL to MongoDB Converter?

    • Step 1: Select the Tool
    SQL to MongoDB Converter Step 1
    • Step 2: paste your SQL text into the textbox And Press The Convert Button And Check Your SQL to MongoDB Converter Result
    SQL to MongoDB Converter Step 2

    If you want to link to Sql To Mongodb Converter page, please use the codes provided below!

    Sql To Mongodb Converter

    FAQs for SQL to MongoDB Converter

    What is the Difference between MongoDB and SQL?
    MongoDB is a NoSQL database that stores data in flexible, schema-less documents, while SQL databases use structured tables with predefined schemas to store data.
    How to convert SQL database to MongoDB?
    To convert an SQL database to MongoDB, migrate the schema and data using tools like the MongoDB Connector for BI or custom ETL scripts.
    How to convert MySQL query to MongoDB?
    To convert a MySQL query to MongoDB, rewrite the query using MongoDB's query language syntax and aggregation framework.
    How to run SQL query on MongoDB?
    You cannot directly run SQL queries on MongoDB; instead, use MongoDB's query language and aggregation framework for data retrieval and manipulation.
    Can we replace SQL with NoSQL?
    Yes, NoSQL databases can replace SQL databases for specific use cases, but the choice depends on data structure, scalability, and query requirements.