Connect Your SQLite Database
Provide the file path to your SQLite database file (.db, .sqlite, .sqlite3). Works with local files, network-mounted databases, and SQLite databases in cloud storage.
Connect SQLite files as governed sources for local, embedded, mobile, and development data. Answerplane understands SQLite syntax and keeps generated SQL inspectable with provenance.
14-day trial / no credit card / 150 governed questions included
Provide the file path to your SQLite database file (.db, .sqlite, .sqlite3). Works with local files, network-mounted databases, and SQLite databases in cloud storage.
Answerplane reads your SQLite database structure including tables, columns, views, indexes, and relationships. Understands SQLite data types and constraints.
Ask 'Show me recent orders' or 'What's the inventory count?' Then inspect the SQLite-compatible SQL and result provenance.
Builds SQLite-compatible SQL using date/time functions, string functions, and SQLite-specific operators.
Perfect for local SQLite files, embedded databases, mobile apps (iOS/Android), Electron apps, and development environments.
Optimized for SQLite's serverless architecture. Generated plans stay efficient for embedded and resource-constrained environments.
Automatically analyzes your SQLite database structure including tables, views, indexes, and triggers.
SELECT
customer_name,
COUNT(*) AS order_count,
SUM(order_total) AS total_spent
FROM customers c
JOIN orders o ON c.customer_id = o.customer_id
GROUP BY c.customer_id, customer_name
ORDER BY order_count DESC
LIMIT 10;Basic JOIN with aggregation and LIMIT
SELECT order_id, customer_name, order_total, order_date
FROM orders
WHERE order_date >= date('now', '-7 days')
ORDER BY order_date DESC;Uses SQLite date functions for date arithmetic
SELECT
strftime('%Y-%m', order_date) AS month,
SUM(order_total) AS monthly_revenue,
COUNT(*) AS order_count
FROM orders
GROUP BY strftime('%Y-%m', order_date)
ORDER BY month;SQLite strftime() for date formatting and grouping
SELECT
product_name,
category,
quantity_in_stock,
reorder_level
FROM products
WHERE quantity_in_stock < 10
ORDER BY quantity_in_stock ASC;Simple WHERE clause with sorting
SELECT
c.customer_name,
COUNT(*) AS order_count,
SUM(o.order_total) AS total_spent
FROM customers c
JOIN orders o ON c.customer_id = o.customer_id
WHERE strftime('%Y-%m', o.order_date) = strftime('%Y-%m', 'now')
GROUP BY c.customer_id, c.customer_name
HAVING COUNT(*) > 1
ORDER BY order_count DESC;Date filtering with HAVING clause for post-aggregation filtering
SELECT product_name, category, price
FROM products
WHERE product_name LIKE '%organic%'
ORDER BY price DESC;Case-insensitive pattern matching with LIKE
These are a few examples. Answerplane keeps the plan, query, and provenance visible before teams save or embed an answer.
Read-only access mode enforced for all SQLite connections
Database file paths and credentials encrypted at rest
Query execution timeouts prevent runaway queries
No wholesale source-data replication; saved artifacts retained only when features require it
Multi-tenant isolation at the organization level
Supports password-protected SQLite databases (SQLite Encryption Extension)
File-level access controls respected
Comprehensive audit logging of all queries
Go to Settings > Databases > Add Database, select SQLite, and provide the file path to your .db, .sqlite, or .sqlite3 file. For local files, use the absolute path. For cloud storage, ensure the file is accessible from the Answerplane server.
Yes! If you can export or access the SQLite file from your iOS or Android app, you can connect it to Answerplane. Many developers use this for debugging and data analysis.
Yes. Answerplane builds reviewable SQLite plans using date functions like date(), time(), datetime(), strftime(), and julianday() for date/time operations.
Answerplane supports SQLite 3.x (all versions), the most common version used in applications today.
Yes, as long as the SQLite file is accessible via a file path or can be mounted. You can use SQLite files from S3, Google Cloud Storage, or other cloud storage with appropriate mounting.
Answerplane analyzes your data to infer column types and uses this information to generate appropriate queries. It handles SQLite's flexible type system gracefully.
Yes! Answerplane generates analytics queries with aggregations, GROUP BY, subqueries, and SQLite's built-in functions. Perfect for analyzing local databases and embedded app data.
Yes. We enforce read-only access, encrypt credentials at rest, and rely on your source permissions as the system of record. We do not ingest or replicate source contents wholesale; saved chats, dashboards, exports, uploads, and materialized artifacts are retained only when you use those features.
Yes, if your SQLite database uses SQLite Encryption Extension (SEE) or SQLCipher, you can provide the encryption key during connection setup.
In-memory SQLite databases (:memory:) are ephemeral and don't persist. Answerplane works with persistent file-based SQLite databases. If you need to query in-memory databases, export them to a file first.
Still have questions?
Contact our teamLet teams ask questions, inspect plans, and publish trusted SQLite answers with provenance attached.
14-day trial / no credit card / 150 governed questions included
Try with your own approved source, or use the browser-only sample to inspect the flow first.
Open the sample dashboard