SQL Server to SQLite Converter

Export selected tables with editable type mappings, or keep a SQLite copy updated with a scheduled synchronization job.

Version: 5.0.53
Release Date: Sept. 30, 2026
Size: 22.8 MB
Platform: Windows 10 or later

Download DBConvert Order from US$ 199

Rather not run it yourself?

Let us do the migration →

Create a portable SQLite database from SQL Server. DBConvert reads the live server, lets you select tables and review type mappings, then writes the schema and data into a SQLite file.

Reads SQL Server, SQL Server Express, Azure SQL Database, or Amazon RDS for SQL Server.
Writes a SQLite database file: .db, .sqlite, .sqlite3, or .db3.
Runs on Windows as a desktop application.
The same download converts SQLite back into SQL Server.

Prepare a reusable export job

Connections, table selections, and mappings stay available on screens you can return to without restarting the setup.

Limit the dataset

Select individual tables and apply row filters when the SQLite copy needs only part of the server data.

Adjust the target schema

Edit the proposed column names and types before creating the SQLite tables. The mapping table below identifies defaults that can affect how your application reads the result.

Save the export

Save the connection, selected tables, mappings, and output path as a job you can run again. Jobs saved by the previous version open in the current application.

Export once, or refresh the SQLite copy on a schedule

Choose conversion or synchronization in the same application.

One-time SQLite export

Create the selected schema and transfer its rows in a single run. Validate the exported values and application queries before using the resulting file.

Repeat synchronization

Schedule a saved job to keep the local copy in step with SQL Server. If local edits must return to the server, define which side owns them and review synchronization keys and conflict handling.

When a SQLite file is the right output

Portable application data

Package selected server data with a desktop or embedded application so it can read a local database without connecting to SQL Server.

Local snapshots and fixtures

Create a reusable dataset for QA, demonstrations, or offline analysis without giving each user access to the live server.

How SQL Server types map to SQLite

DBConvert proposes the target declarations below; you can change them per column. SQLite does not enforce lengths, precision, and scale like SQL Server, even when a declaration looks similar.

In SQL Server	DBConvert default in SQLite	What needs attention
`INT`, `BIGINT`, and identity columns	`INT` and `BIGINT` map to `INT`; numeric identity columns map to `INTEGER`.	SQLite integers support signed 64-bit values. For generated keys, check the primary-key definition and the next value before the application inserts new rows.
`DECIMAL`, `MONEY`, `NUMERIC`	`DECIMAL`, `MONEY`, and `SMALLMONEY` map to `FLOAT`. `NUMERIC` remains `NUMERIC`.	Floating-point storage can round exact amounts; `NUMERIC` does not guarantee fixed decimal precision either. Choose storage and calculations suitable for monetary values before exporting.
Character columns and GUIDs	`VARCHAR` and `NVARCHAR` retain their declarations; `NCHAR` becomes `CHAR`, `NTEXT` becomes `TEXT`, and `UNIQUEIDENTIFIER` becomes `CHAR(38)`.	These are text-affinity columns in SQLite. Declared lengths do not impose SQL Server-style limits; check application validation separately.
Dates, times, and `BIT`	`DATETIME`, `DATETIME2`, and `DATETIMEOFFSET` map to `DATETIME`; `TIME` remains `TIME`, and `BIT` becomes `BOOLEAN`.	SQLite has no dedicated datetime or boolean storage type. Test how your driver reads the exported values, including fractional seconds, offsets, and NULLs.
Binary columns and `XML`	`BINARY`, `VARBINARY`, `IMAGE`, and `XML` map to `BLOB`.	XML is not a text-column mapping by default. Check that the application can read the target representation.

If the application relies on foreign keys, enable SQLite foreign-key enforcement on each connection.

Server-side logic stays in SQL Server

T-SQL procedures, triggers, SQL Server Agent jobs, users, permissions, and CLR objects are separate from the table export. SQLite has no stored-procedure layer or server-side user model; move that logic into the application or rewrite it for SQLite as appropriate.

Supported versions and services

SQL Server

SQL Server 2008-2022, including Express editions
Azure SQL Database and Amazon RDS for SQL Server
SQL Server schemas (dbo, custom schemas)
Windows authentication or SQL authentication

SQLite

SQLite 3.0 and later

DBConvert Studio

30+ databases · cloud · scheduled sync

Need more directions or unattended sync? One tool covers them all.

How to migrate SQL Server to SQLite

DBConvert opens in GUI mode and walks the job from connection to commit:

Connect to SQL Server source database

Specify the username/password and host/port parameters if your source database requires login credentials.

SQL Server source

Connect by TCP/IP or Named Pipes, use Azure SQL, or read from Amazon RDS for SQL Server.

Connect to SQLite destination database

Choose where the SQLite file goes. DBConvert creates it, or writes into the one you point at.

SQLite target

Choose a writable path for the target SQLite database file.

Steps 3-6: the same for every database pair

Source and target are connected - steps 1 and 2 above. What follows is identical whichever two databases you picked, so it lives in one place. Each step below opens at its own section.

Open the full guide

All four steps in one page, plus software features, command-line mode, scheduler, and system requirements.

See all features

More guides for SQL Server ↔ SQLite

Move SQL Server data into SQLite

Download the current build and run the first job against your own database.

Download DBConvert 5.0.53 Order from US$ 199

Windows 10 or later · 22.8 MB