Microsoft SQL Server to SQLite Migration.

 DBConvert for SQLite & MSSQL

Version: 1.6.0

Release Date: May 20, 2016

Conversion directions:

  • SQLite → MS SQL Server, MS SQL Dump
  • SQL Server → SQLite, MS SQL Dump
  • SQLite ↔ SQL Azure
  • SQLite ↔ Amazon RDS
 DBSync for SQLite & MSSQL

Version: 1.4.7

Release Date: Oct. 20, 2015

Synchronization directions:

  • SQLite ↔ Microsoft SQL Server
  • SQLite ↔ SQL Azure
  • SQLite ↔ Amazon RDS

Our DBConvert/ DBSync applications support high performance two-way database migrations and synchronizations that convert and sync your Microsoft SQL Server to SQLite and vice-versa. Windows Azure SQL databases can be set up as a source or destination of your migration process.

Feature list of our tools:

Today, transferring data to SQLite is becoming increasingly popular for many reasons. For example, if you need to store part of your data from a large volume into a small one, SQLite will meet that requirement very effectively.

SQLite is commonly used in business applications, mobile devices and iOS applications and is eminently suitable for small data management systems. It is more portables because is serverless, i.e., the data is stored in one database file, cross-platform and can be run on many platforms.

You can easily synchronize even existing remotely hosted MSSQL database to both local and remote SQLite databases using our software solutions. Our very intuitive interface and effective features certainly help you export data in little time.

Product Highlights

Interface languages

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Product Requirements

  • Necessary privileges to write into database on the target MS SQL server (this requirement is optional as there is an option to overcome the restrictions using dump file)
  • Necessary privileges to write into network shared folder (LAN or VPN) where destination database SQLite resides

Latest News

  • Parameterized queries improved. Synchronization/conversion speed increased approximately by 15%.
  • Speed enhancement for better conversion and synchronization. Large databases with 500 thousand records can be converted/synchronized in 30-40 min.
  • Added Bulk insert feature for SQLite.
  • Quantization added.