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SQL to NoSQL converter

Paste a SQL SELECT query and instantly get the equivalent NoSQL query for MongoDB, DynamoDB, or Firestore. Runs entirely in your browser — nothing is sent to a server.

NoSQL output

What is a SQL to NoSQL converter?

A SQL to NoSQL converter takes a standard SQL query — the kind you'd run against PostgreSQL, MySQL, or SQLite — and rewrites it using the query language or API syntax of a NoSQL database like MongoDB, DynamoDB, or Firestore. It bridges the gap between relational thinking and document-oriented data access.

When to use this tool

  • Migrating an application from a relational database to a document store and need to translate existing queries
  • Learning MongoDB or DynamoDB syntax and want to see how familiar SQL maps to the new API
  • Prototyping a NoSQL data layer while your team still thinks in SQL
  • Building a polyglot data application that queries both SQL and NoSQL stores
  • Writing documentation that shows SQL alongside its NoSQL equivalent

How the conversion works

The tool parses the SQL query into an abstract syntax tree, extracting the table name, selected columns, WHERE conditions, ORDER BY clause, and LIMIT value. It then maps each of these to the target NoSQL syntax — for MongoDB that means a find() call with filter, projection, sort, and limit; for DynamoDB it produces PartiQL and SDK-style params; and for Firestore it generates chained query calls.

Connect to SQL and NoSQL from one dashboard

Basedash connects to PostgreSQL, MySQL, MongoDB, and 750+ other data sources — so you can query, visualize, and share data from both your relational and NoSQL databases in a single dashboard. Describe the chart you need in plain English and Basedash writes the query for you.

FAQ

Which SQL features are supported?
Is my SQL sent to a server?
How accurate is the MongoDB output?
Can I convert JOINs?
Does this work with DynamoDB?
Why doesn't my query convert?

Query any database with plain English

Connect your SQL or NoSQL database and describe what you want. Basedash writes the query and builds the chart.