Embedded file
Connect SQLite to Excel, Sheets and AI
One .sqlite / .db file as a database. For a folder of SQLite files that should union into shared tables, use SQLite Folder instead.
One connection, every surface
Where your SQLite data can go
Connect SQLite once and the same read-only connection feeds all of these — no second setup, no second copy of the data. 9 of 11 have a step-by-step guide.
SQLite to Excel
Microsoft Excel · Excel add-in
Pull live SQLite results straight into a worksheet and refresh them on demand — desktop Excel, Excel Online, Microsoft 365.
Read the guideSQLite to Google Sheets
Sheets add-on
Run a saved SQLite query from the sidebar and drop the rows into the sheet. Shared collaborators can refresh it themselves.
Read the guideSQLite MCP server
Claude, Cursor and MCP clients
Give an AI assistant read-only access to SQLite with the schema it needs to write correct SQL — no credentials in the chat.
Read the guideSQLite REST API
HTTP endpoint
Publish a SQLite query as an authenticated JSON endpoint any application can call, with an OpenAPI 3.1 spec and ready-made Postman, Insomnia and Hoppscotch collections. No database port is opened.
Read the guideSQLite to Airtable
Automation platform
Sync SQLite rows into an Airtable base on a schedule, or fetch them inside an Airtable automation script.
Read the guideSQLite to Baserow
Automation platform
Feed a Baserow table from SQLite over the REST endpoint — self-hosted or Baserow cloud.
Read the guideSQLite to SeaTable
Automation platform
Keep a SeaTable base current with SQLite data without exporting a file or exposing the database.
Read the guideSQLite to Smartsheet
Automation platform
Push SQLite results into a Smartsheet grid so plans and reports read from the source system, not last week's export.
Read the guideSQLite to Anvil
Anvil Works · App platform
Back an Anvil Python app with SQLite through the REST endpoint instead of embedding database credentials in the app.
Read the guideSQLite to Power BI
Power Query M
Paste the generated Power Query M into the Power BI Advanced Editor and the report reads live SQLite results over HTTPS — no ODBC driver, no database port opened.
How Power BI works no SQLite walkthrough written yetSQLite alerts and reports
Slack · Discord · Email · Webhook
Put a SQLite query on a schedule and have the rows delivered to Slack, Discord, email or a signed webhook — or hold the message until a row count, threshold or percentage change crosses the line you set.
How alerts and reports work no SQLite walkthrough written yetHow it works
5 steps, no inbound firewall change
Install the Network Agent on a machine that can already see the file. It never leaves that machine.
Browse to the .db, .sqlite or .sqlite3 file. Local paths, mapped drives and UNC shares all work.
If the file is written to by a live application, turn on immutable mode so it is read without taking any lock at all.
The agent reads the table and column layout so the Query Builder can offer real names. An encrypted file is opened with the passphrase you supply.
Write read-only SQL, or let Nova write it. Read the saved query from Excel, Sheets, Power BI, MCP or REST.
Feature deep-dive
What SQLite gives you
Reading a file that something else is using
SQLite's locking is what stops most reporting tools dead: the application that owns the file holds it, and the report either blocks or fails. Immutable mode is the way out, and it is a deliberate choice rather than a hidden default.
- Immutable mode opens the file with no locking at all, so a live application keeps working and your query still returns.
- It is opt-in on purpose. It tells SQLite the file will not change while it is being read, which is the right promise for a report and the wrong one for a file being actively rewritten by a long transaction.
- Left off, the file is still opened strictly read-only — the driver itself refuses to write, on top of the statement check that runs before anything is sent.
- Nothing is copied. There is no temporary snapshot, no upload, and no second version of your data to keep track of.
- The journal mode of the file is reported back on the connection test, so you can see whether it is running in WAL before deciding.
An encrypted file is fine
- An encrypted SQLite database opens with the passphrase you supply. It is held on the agent, like every other credential here.
- Views are listed alongside tables, so a file that keeps its reporting logic in views is browsable as it was designed to be.
- Indexes are read too, which is how the Query Builder knows what will be fast.
One file, or a folder of them
This connector is for a single file. If what you have is a folder of SQLite files with the same shape — one per store, one per day, one per customer — the SQLite Folder connector unions them into shared tables and tells you which file each row came from.
-- local_db is the connection; SQLite's only schema is main
SELECT o.status, COUNT(*) AS orders
FROM local_db.main.orders o
JOIN pg_crm.public.customers c ON c.id = o.customer_id
GROUP BY o.status
Shared by every database connector
True of every database connector
- Outbound only — the agent opens one encrypted connection out to Query Streams. No inbound port to forward, no VPN, no IP allowlist, nothing about your database exposed to the internet.
- Credentials stay put — the database username and password live on the machine you installed the agent on. Query Streams never receives them and cannot reach your database on its own.
- Read-only, enforced — one statement at a time, SELECT and friends only. A write is rejected on your own machine before it is ever sent to the server, rather than relying on a permission somebody remembered to set.
- Deploy as many agents as you like — one per site, region or cloud. Every data source they can see arrives in a single dropdown, so nobody has to know which agent hosts what.
What you get once a query is saved
- Share the capability, not the SQL — a colleague or an outside partner can run your query and change its filters without ever seeing the statement behind it.
- Filters from either direction — declare them yourself as @variables, or let the connector spot the literal values already sitting in your WHERE clause and offer those as dropdowns.
- Read it from anywhere — Microsoft Excel, Google Sheets, Power BI, the REST API, AI assistants over MCP, the Query Builder and Nova all read the same saved query.
- Run several at once — five saved queries into five worksheet tabs, streamed concurrently, however large the results.
- Join it to anything else you have connected — another database, a business API, or a folder of files, in one read-only statement.
Cross-source SQL
Join SQLite to the rest of your data
One statement can span SQLite and your other connections at once. Each source runs only the part it can, streams the result back, and the join happens centrally — the sources never talk to each other and nothing is copied anywhere.
3 connections · 3 agents
One statement
-- nothing copied, nothing merged, nothing scheduled
SELECT c.region, COUNT(*) AS orders, SUM(i.amount_due) AS invoiced
FROM local_db.main.orders1 f
JOIN pg_crm.public.customers2 c ON c.id = f.customer_id
JOIN billing.stripe.invoices3 i ON i.customer = c.stripe_id
GROUP BY c.region
ORDER BY invoiced DESC;
The three parts are connection, schema and table — and the connection name is whatever you called it. Illustrative columns; your tables will be your tables. Read-only applies to every piece: SELECT, WITH and EXPLAIN only, with a ceiling on how much any one source may hand over for a single query. How federated queries work
Connection details
What SQLite needs
- What you point at
- One .db, .sqlite or .sqlite3 file on the agent's machine, a mapped drive, or a UNC share
- Opened
- Read-only at the driver, not merely by convention
- Locked files
- Immutable mode reads a file another application holds open, taking no lock
- Encryption
- An encrypted database opens with a passphrase, held on the agent
- Driver
- Microsoft.Data.Sqlite 9.0.2, bundled — nothing to install
- Copies
- None. No snapshot, no temp file, no upload
- Schema
- SQLite has one, called main, and that is what a federated reference uses
- Read-only
- Enforced before the statement runs, and again by the open mode
The file never leaves the machine the agent is on. What travels is the result of your query, over the agent's own outbound connection — so a SQLite file on a machine behind a firewall is readable from a spreadsheet without that machine being reachable from anywhere.
In a cross-source query the middle part of a three-part reference is main, SQLite's only schema — not the file name. A connection called local_db is written local_db.main.orders.
Vendor documentation: www.sqlite.org
FAQ
Questions about SQLite
Which tools can read SQLite data through Query Streams?
All of them, from one connection: Excel, Google Sheets, MCP, REST API, Airtable, Baserow, SeaTable, Smartsheet, Anvil, Power BI, scheduled alerts and reports. Connect the database once and every surface reads the same read-only connection — there is no per-tool setup and no second copy of the data.
Do I have to open a firewall port to my SQLite database?
No. The Query Streams Network Agent runs inside your network and opens a single outbound encrypted connection. Nothing listens for inbound traffic, no VPN is required, and the database keeps its existing firewall rules.
Can Query Streams change data in SQLite?
No. The agent enforces read-only at the point of execution — one statement at a time, SELECT and friends only. Credentials stay on the agent and are never sent to Query Streams.
What does Query Streams need to connect to SQLite?
A reachable host, a role and its password — the agent carries the driver, so nothing is installed on the database. What you point at: One .db, .sqlite or .sqlite3 file on the agent's machine, a mapped drive, or a UNC share. Opened: Read-only at the driver, not merely by convention. Locked files: Immutable mode reads a file another application holds open, taking no lock. Encryption: An encrypted database opens with a passphrase, held on the agent.
Can I join SQLite to another database in the same query?
Yes — that is a federated query. One statement can reference SQLite and your other connections at once, written as connection.schema.table. Each source runs only the part it can and streams the result back; the join happens centrally, so the sources never connect to each other and nothing is copied or scheduled. Read-only applies to every piece — SELECT, WITH and EXPLAIN only — and there is a ceiling on how much any one source may hand over for a single query. Federated queries are a plan feature; the federated queries page carries the current source and size limits.
Put SQLite where the work happens
Install the agent, point it at your database, and pick a destination.
Read-only Outbound only Credentials stay on the agent

