SQLite++ C++ Class Library

SQLite++ - C++ Class Library Wrapper for SQLite
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SQLite++ C++ Class Library Ranking & Summary

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  • Rating:
  • License:
  • Commercial
  • Price:
  • $60.00
  • Publisher Name:
  • WinCentric Software
  • Publisher web site:
  • Operating Systems:
  • Windows 95/98/Me/NT/2000/XP/2003
  • File Size:
  • 10 KB

SQLite++ C++ Class Library Tags


SQLite++ C++ Class Library Description

SQLite++ - C++ Class Library Wrapper for SQLite. SQLite++ is a cross-platform C++ wrapper library for SQLite. It is designed to make using the SQLite C library easy without sacrificing performance. SQLite++ also supports BLOBS, TwoFish encryption and ZLib compression. SQLite++ consists of 4 main classes and a few utility methods for encoding/decoding, encrypting/decrypting and compressing/decompressing data. These classes make it super-easy to begin using SQLite immediately without having to write lots of infrastructure code as you would otherwise need to do. The main classes are: SqliteDb Dataset Columns (Collection) Column Open and query a database with just a few lines of code. Save yourself weeks of coding and debugging with this robust and easy to use class library. SQLite++ uses standard C++ (no platform-specific code), and the Standard Template Library (STL). COM DLL, which can be used from almost any high level language Separate Database Explorer Stored Scripts (like Stored Procedures) On-the-fly Encryption and Compression ADO-like object model Ease of use Many people today still work with CSV and TAB-delimited files daily. SQLitePlus can easily import and export these files formats directly to/from SQLite database files. This can be done both with the SQLitePlus Database Explorer and with the SQLitePlus COM DLL (the SQLitePlus Database Explorer actually uses the COM DLL's SqliteDb.Import and SqliteDb.Export functions). All file formats are supported: - UTF-8 - UTF-16 - CodePage What this means for you is that you can suck a CSV file into a SQLite database using the Import facility and immediately begin working with it using SQL. Or you can very easily export any data to a CSV/delimited file using the Export facility.


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