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SQL to DynamoDB Converter Online — Convert SQL Queries to AWS DynamoDB Operations

Paste your SQL query above and get the equivalent AWS DynamoDB operation instantly — complete with FilterExpression, ExpressionAttributeNames, and typed attribute values. Everything runs in your browser, so your queries never leave your machine.

How to Convert SQL to DynamoDB — Step-by-Step

Step 1

Input Your SQL Query

Got a SQL query you need to run against AWS DynamoDB? Three ways to get it in:

•
Paste directly: Copy your SQL query and paste it into the input editor — conversion happens instantly
•
Upload a file: Click "Upload" to select a .sql or .txt file
•
Load a sample: Click "Sample" to see a SELECT with WHERE conditions converted to DynamoDB

Example: SQL SELECT Query

Here is a typical SQL query you might want to convert to DynamoDB:

SELECT user_id, username, email
FROM users
WHERE status = 'active'
  AND subscription_tier IN ('premium', 'enterprise')
LIMIT 25;
Step 2

Automatic Conversion to DynamoDB

The converter parses your SQL and generates the equivalent DynamoDB operation instantly:

•
FilterExpression: Your WHERE conditions become DynamoDB filter expressions with #name placeholders and :value bindings
•
Typed values: Strings become {"S": "value"}, numbers become {"N": "42"}, matching the DynamoDB SDK format
•
Ready-to-use code: Output includes complete params object and SDK command call you can paste directly into your project

Example: DynamoDB Scan Output

The SQL query above converted to a DynamoDB Scan operation:

const params = {
  "TableName": "users",
  "FilterExpression": "#status = :val0 AND #subscription_tier IN (:val1, :val2)",
  "ExpressionAttributeNames": {
    "#status": "status",
    "#subscription_tier": "subscription_tier"
  },
  "Limit": 25
};
Step 3

Review and Adjust for Your Table

DynamoDB has a different data model than SQL databases — a few things to check:

•
Primary key: DynamoDB requires a partition key (and optionally a sort key). Adjust the Key or KeyConditionExpression if your query targets specific items
•
Scan vs Query: Scans read the entire table — for production, use Query with a key condition when possible for better performance
•
Secondary indexes: If your WHERE clause filters on non-key attributes frequently, consider creating a Global Secondary Index (GSI)
Step 4

Copy or Download Your DynamoDB Code

When it looks right, grab it:

•
Copy to clipboard: One click — paste straight into your Lambda function, Node.js app, or AWS SDK script
•
Download as file: Save as a .js file for your project
•
Try other converters: Convert the same SQL to MongoDB, or convert DynamoDB back to SQL

Frequently Asked Questions — SQL to DynamoDB

How do I convert SQL to DynamoDB online?

Paste your SQL query into the input editor and the converter generates the equivalent DynamoDB operation instantly. It handles SELECT, INSERT, UPDATE, and DELETE statements and outputs ready-to-use AWS SDK code with proper typed attribute values. No account needed.

What SQL operations does the converter support?

SELECT (with column selection, WHERE, LIMIT), INSERT INTO with VALUES, UPDATE with SET and WHERE, and DELETE FROM with WHERE. It supports comparison operators (=, >, <, >=, <=, !=), LIKE (converted to contains/begins_with), IN, BETWEEN, IS NULL, and IS NOT NULL.

Why does DynamoDB need typed attribute values?

Unlike SQL databases where types are defined by the table schema, DynamoDB is schema-less — each attribute value must specify its type explicitly. Strings use {"S": "value"}, numbers use {"N": "42"}, and booleans use {"BOOL": true}. The converter handles this automatically.

What is the difference between DynamoDB Scan and Query?

A Scan reads every item in the table and then applies filters — equivalent to a full table scan in SQL. A Query uses the partition key (and optionally sort key) to efficiently fetch specific items — equivalent to a SQL query on an indexed column. The converter generates Scan by default, but you should use Query with a KeyConditionExpression for production workloads to save read capacity and improve performance.

Does DynamoDB support JOINs like SQL?

No — DynamoDB does not support JOINs. In NoSQL databases, you typically denormalize your data so related information lives in the same item, or you make multiple queries and combine results in your application code. If you need relational queries, consider our SQL to MongoDB converter which supports $lookup (the MongoDB equivalent of JOIN).

Is my data safe when using this converter?

Your SQL queries are processed entirely in your browser — nothing is sent to any server. The conversion is 100% client-side using JavaScript. Your data stays on your machine.

Is this SQL to DynamoDB converter free?

Completely free, no account needed, no limits. Convert as many queries as you want. Also check out our other NoSQL tools: MongoDB to SQL, DynamoDB to SQL, and MongoDB to DynamoDB.

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