SQL Server
SQLite

SQL Server to SQLite Converter

Move SQL Server data into a single-file SQLite database for embedded use, local caches, test fixtures, or offline distribution. Review type mapping, filter tables, and save the job for repeatable exports.

SQL Server → SQLite is usually a portability move: selected SQL Server, Azure SQL, or Amazon RDS for SQL Server tables become one SQLite .db file for an embedded app, local copy, fixture, or offline package.

DBConvert handles the database-file move: it connects to SQL Server, creates SQLite tables, maps field types, transfers rows, writes indexes and relationships where SQLite can enforce them, and can save the job for repeated exports. The review work is in identity keys, SQL Server-specific data types, precision-sensitive values, date/time storage, collations, and T-SQL that SQLite cannot run.

What DBConvert does on this path: handles SQL Server → SQLite as a repeatable desktop workflow:

  • Reads SQL Server, SQL Server Express, Azure SQL Database, and Amazon RDS for SQL Server sources.
  • Writes a portable SQLite .db file for embedded use, local analysis, test fixtures, or offline distribution.
  • Maps tables, fields, indexes, primary keys, foreign keys, and supported views with type-mapping review.
  • Saves the migration as a session for repeated exports; DBSync can refresh or synchronize the SQLite copy under explicit ownership rules.

What it does not do: SQL Server stored procedures, triggers, jobs, users, security, CLR objects, and application T-SQL are not translated into a SQLite application layer.

Which tool: DBConvert or DBSync?

DBConvert for SQL Server → SQLite

One-time export or repeatable test fixtures. Use it when you need a SQLite .db file built from SQL Server data with field mapping, filters, and saved settings.

DBSync for SQL Server ↔ SQLite

Repeat refresh or limited two-way exchange. Use it when the SQLite file must be rebuilt or topped up from SQL Server on a schedule, or when small SQLite edits should flow back under clear ownership rules. Review synchronization concepts.

Need more context? Compare DBConvert and DBSync side by side →

How DBConvert handles the SQL Server → SQLite differences

DBConvert handles source connection, object selection, type mapping, SQLite file creation, transfer, and validation. SQL Server procedural code and application SQL remain separate work.

Source connection

DBConvert reads SQL Server through regular SQL Server connection settings, including Azure SQL and Amazon RDS for SQL Server when firewall rules allow the migration machine.

Identity keys

SQL Server identity columns map to SQLite integer primary-key behavior where appropriate. Confirm next values before SQLite starts accepting writes.

Type affinity

SQLite uses dynamic type affinities, not SQL Server's strict type system. Review decimals, money values, GUIDs, dates, Unicode text, XML, JSON text, and binary values before export.

Constraints and relationships

Primary keys, indexes, and foreign keys can move into SQLite, but application code must enable and respect SQLite foreign-key enforcement.

Procedural code boundary

DBConvert migrates tables, fields, supported views, indexes, and keys. T-SQL procedures, triggers, jobs, users, security, CLR objects, and application SQL are not converted into SQLite application logic.

Type mapping checkpoints

SQL Server SQLite Notes
int, bigint, identity INTEGER Identity PKs can map to SQLite rowid-backed keys.
decimal(p,s), money NUMERIC or scaled INTEGER Use scaled integers when exact arithmetic is required.
varchar, nvarchar, nvarchar(max) TEXT SQLite has no declared text length enforcement by default.
datetime2, date, time TEXT ISO-8601, INTEGER, or REAL Pick one date storage convention and keep it consistent.
bit INTEGER 0 = false, 1 = true; preserve nullable values if used.
uniqueidentifier, XML, JSON text, varbinary(max) TEXT or BLOB Sample real GUIDs, documents, and binary payloads after export.

Choosing the SQL Server → SQLite route

Most projects are either a portable export, an embedded app seed, a test fixture, or a recurring offline copy.

Route Where it fits Where it falls short
DBConvert / DBSync You need a GUI workflow, SQLite file output, filters, type mapping review, saved sessions, or recurring refresh/sync. T-SQL code and application behavior remain outside the database-file export.
SQL Server export + sqlite3 import A technical user needs a few flat tables and can script the DDL, CSV export, and import process. You own type mapping, indexes, keys, load order, retries, and validation.
Custom ETL SQLite is one target in a larger offline/mobile/test-data pipeline. More control, but also more code and operational ownership.
App-level replication The application already owns conflict rules and can write both SQL Server and SQLite representations. Usually overkill for a straightforward database export.

Supported versions

  • 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 3.0 and later

Supported in this path

Source SQL Server
Target SQLite
Microsoft SQL Server SQL Server Express Azure SQL Database Amazon RDS for SQL Server SQLite
SQL Server

All SQL Server Tools

Other directions and pairs
SQLite

All SQLite Tools

Migration & sync options

Reverse Conversion

SQLite to SQL Server

Using SQL Server to SQLite Tools

When launching the DBConvert or DBSync application in GUI mode, it guides you through the steps to start database migration or synchronization:

1

Connect to SQL Server source database

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

Connect to SQL Server source database from DBConvert

SQL Server source

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

2

Connect to SQLite destination database

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

Connect to SQLite target database from DBConvert

SQLite target

Write a self-contained SQLite .db file at the path you pick in the wizard.

More guides for SQL Server ↔ SQLite

Next steps: configure, validate, run

After connecting source and target, the remaining steps are the same for every database pair:

  • Configure migration options - pick tables, fields, indices, views.
  • Issue detection - the built-in checker flags integrity problems before migration starts.
  • Execute - commit the job, monitor progress, save the session for reuse.
  • Schedule and CLI - rerun saved sessions on a schedule or from the command line.
Open the full guide

Steps 3-5, software features, command-line mode, scheduler, and system requirements.

See all features