SQLite to SQL Server Converter

Schema, indexes, foreign keys, and rows into SQL Server, Azure SQL, or Amazon RDS - once, or on a schedule while you cut over.

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

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Copy a SQLite database into SQL Server without rebuilding the target schema by hand. DBConvert opens the database file, proposes a SQL Server type for every column, and creates the tables, indexes, and foreign keys before transferring the rows.

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

Control what moves before the first run

Connections, table selections, and mappings stay available on screens you can return to as you prepare the migration.

Select what moves

Choose the tables to migrate and use data filters when only part of a table belongs in SQL Server.

Review compatibility

Inspect and override the target type per column. Pre-run checks identify numeric range issues, keys too wide to index, and types with no mapping, with the column and the action needed.

Save the job

Reuse saved connections, table selections, and options on the next run. Jobs from the previous version can also be opened.

Convert once, or keep SQL Server in step with SQLite

Conversion and synchronization are modes of one DBConvert application.

One-time conversion

Move schema and data into the server database for a cutover. DBConvert uses bulk loading on the SQL Server side. Validate the target data and application queries before switching production.

Repeat synchronization

Keep the SQLite application in use while the server database is prepared and tested. Save a synchronization job and run it on a schedule. Set the direction and review key and conflict rules before allowing changes on both sides.

When SQL Server is the right target

A shared application database

Move beyond a database file when several application servers or remote users need a central database with server-managed access, backups, and reporting.

A managed SQL Server target

Move the database behind a SQLite application to a managed service when you want the provider to handle server infrastructure and routine database maintenance.

How DBConvert handles the SQLite → SQL Server differences

A SQLite column can contain values that do not match its declared type. SQL Server enforces column types and lengths, so the target mapping must fit the stored values, not just the source declaration.

In SQLite	What needs attention	What DBConvert does
`TEXT`, `CLOB`, `CHAR`, `VARCHAR`	SQLite does not enforce declared string lengths; SQL Server does. Check stored values against the proposed width.	`TEXT` and `CLOB` become `NVARCHAR(MAX)`. `CHAR` / `VARCHAR` / `NVARCHAR` become `NVARCHAR(n)`: 50 when no length is declared, or MAX when the declared length exceeds 4,000.
`DECIMAL`, `NUMERIC`, integer and floating-point types	The target range, precision, and scale must fit the stored values. A decimal declaration in SQLite does not guarantee exact decimal storage.	`DECIMAL` / `NUMERIC` become `NUMERIC(p,s)`, with precision 18 when unspecified and the source scale retained. `INT` / `INTEGER` / `BIGINT` become `BIGINT`; `DOUBLE` / `DOUBLE PRECISION` become `FLOAT`.
A `TEXT` primary key without a length	SQL Server cannot index `NVARCHAR(MAX)`. A composite key also has a combined byte limit across all its columns.	Bounds the column to `NVARCHAR(450)` and reports the choice. Longer values are refused. This per-column limit does not guarantee that a composite key fits; review the complete key width.
Date/time and boolean declarations	Check date formats, range, fractional seconds, and boolean values. Dates stored in generic text or integer columns are not inferred from their contents.	`DATE` / `TIME` / `DATETIME` / `TIMESTAMP` become `DATETIME`; `BOOLEAN` / `BOOL` / `BIT` become `BIT`. Override the target type, for example to `DATETIME2`, when the source values are compatible.

Application SQL and triggers need a separate pass

SQLite triggers, CHECK expressions, and WITHOUT ROWID specifics need manual review and recreation where appropriate. Application queries that depend on SQLite pragmas, locking, or local file paths also need changes before the application connects to SQL Server.

Supported versions and services

SQLite

SQLite 3.0 and later

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

DBConvert Studio

30+ databases · cloud · scheduled sync

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

How to migrate SQLite to SQL Server

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

Connect to SQLite source database

Select the SQLite file. DBConvert reads its tables and prepares them for mapping.

SQLite source

The Windows account running DBConvert needs access to the source SQLite database file.

Connect to SQL Server destination database

Specify parameters for the destination database similar to the source, defining connection settings and username/password pairs.

SQL Server target

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

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 SQLite ↔ SQL Server

Move SQLite data into SQL Server

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