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.
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?
The converter handles SELECT queries with column projections, WHERE clauses (=, !=, >, <, >=, <=, AND, OR, IN, LIKE), ORDER BY, and LIMIT. Complex subqueries, JOINs across multiple tables, and aggregate functions are not supported because they don't map directly to NoSQL operations.
Is my SQL sent to a server?
No. The entire conversion runs in your browser using JavaScript. Your queries are never transmitted, logged, or stored anywhere.
How accurate is the MongoDB output?
The tool produces valid MongoDB query syntax using db.collection.find() with proper filter objects, projection, sort, and limit. For straightforward SELECT queries the output is ready to paste into the MongoDB shell or Compass.
Can I convert JOINs?
Simple two-table JOINs are converted to MongoDB $lookup aggregation pipeline stages. Multi-table JOINs or self-joins are not yet supported. In document databases, the common pattern is to denormalize data rather than join at query time.
Does this work with DynamoDB?
Yes. The DynamoDB output generates PartiQL-style syntax and also shows the equivalent AWS SDK params object with KeyConditionExpression and FilterExpression where applicable.
Why doesn't my query convert?
The parser expects standard SQL SELECT syntax. Check for typos, unsupported clauses like HAVING or WINDOW, or non-standard extensions. If your query uses CTEs or subqueries, try simplifying it to a single SELECT first.
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.