Import your JSON files and query them with familiar SQL syntax in seconds.
Download TextQuery For FreeUnlike others, JSON is structured data format, make it hard to sequentially aggregate data or perform complex analysis using traditional tools.
Tools like jq are great for traversing and filtering JSON data, but they lack support for doing complex aggregations.
jq has a terse syntax which is great for basic stuff, but challenging for harder tasks. Pandas or Node.js require writing a lot of code for even basic tasks.
Processing JSON files typically involves reading the whole file into memory, which limits scalability and slows down performance on large files.
Import your JSON files in seconds and start querying with SQL. No schema definition or code required.
Simply drag and drop your JSON file into TextQuery.
Use SELECT, WHERE, JOIN, GROUP BY, and all the SQL commands you already know.
View results in a clean table format, export to various formats, or create visualizations.
-- Query your Excel data like a pro
SELECT
user.name,
user.email,
COUNT(orders.id) as order_count
FROM users
LEFT JOIN orders ON users.id = orders.user_id
WHERE user.created_at > '2024-01-01'
GROUP BY user.name, user.email
ORDER BY order_count DESC;Quickly analyze API responses and extract insights from nested JSON data.
Parse and analyze JSON logs from applications and services.
Transform and validate JSON data before importing to databases.
Generate reports from JSON exports of business applications.
.[] | select(.price > 100)
SELECT * WHERE price > 100
Join thousands of data professionals who are already using TextQuery for querying their Excel files.