SQLite Database Document Recovery
Published on 25 January 18
Phillcall0
If you’re former computer user then I hope most of you are familiar with SQLite. In this post along with SQLite database introduction I am going to show you how to repair corrupt database files created by SQLite from its "main database file".
Let start as I said…
Introduction:
Like other RDMS programs such as MySQL, PostgreSQL, Oracle, etc. SQLite database is also a relational database management system based program that can be used like other. SQLite database has some considerable features in which self-contained, serverless, zero-configuration and transactional are noticeable.
SQLite Working Process:
The working process that SQLite used is different from other programs like MySQL, SQL Server, etc. SQLite doesn’t require server to run and is integrated with the application that access the database directly from the database files stored on disk. SQLite takes minimal support from the operating system or external library and you don’t need to install SQLite before using it because it is based on zero-configuration.
Top 3 distinctive feature of SQLIte Database:
- SQLite creates dynamic types for tables where we can store any value.
- It allows to access multiple database file from single connection.
- Let s user to perform join, copy, etc. action with other database.
SQLite Database Document Recovery:
As you seen how SQLite database works and there are some most noticeable features that we have. Now I am going to share document recovery solution for SQLite users. SQLite database files sometimes get corrupt and this majorly happens due to the various reasons like Virus Infection, Hardware and any many other software reasons. Here I have a perfect SQLite database recovery tool for users, which is available with free demo version in the link: SQLite Document Recovery Tutorial
Software let user recover all SQLite version e.g. SQLite2 & SQLite3 created damaged database files with all Tables, Columns, Views, Triggers and after recover it saves data in SQLite and in MS Access Database file format.
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