About Borland database engine
Is not the case with Pervasive.SQL. The database uses a modular architecture stemming from Btrieve that exposes two core components,a micro kernel and Pervasive services,to run its data-access logic. The architecture offers developers low-level direct access to data that simply cannot be done with other relational database engines. By exposing some of the function calls that access data directly via a Btrieve API, Pervasive provides the highest possible data-handling performance an application can have. At a higher level, a relational core exposes data via ODBC, JDBC, ADO and OLEDB. Pervasive.SQL connects natively to Delphi and C++ Builder applications that work with the Borland database engine and use PDAC. Pervasive's database engine also integrates with most development environments and languages from Borland, Microsoft and IBM. The current version will work with ODBC.Net in .Net's native environment. Legacy systems that use a variety of COBOL environments can also incorporate Pervasive's relational database engine to add transactional capabilities. The company recently added a couple of open-source development tools and languages that can work with the environment. One of the new version's strengths is its memory caching. V8 has built-in dynamic caching that will automatically allocate memory and siphon off hard-drive I/Os as needed. That feature is especially useful in embedded applications where no maintenance is available and performance is critical. Oracle and Microsoft cannot compete in memory utilization without having to depend heavily on administrators. Server connectivity puts this product in a category of its own. The database engine will wait up to 65,000 seconds to connect to a client. The feature makes Pervasive.SQL ideal for construction sites, franchises or just about any remote location where the communication connectivity is poor or unpredictable. Solution providers will find the database engine ideal for applications that manage materials and personnel on construction sites, for example.
Key features of the Borland database engine that are enabled through these drivers include:
- Download Borland Database Engine by Alvise Valsecchi
- Download Borland DataBase Engine (BDE) 5.1.1
- How to re-install the Borland Database Engine
- BDE Borland Database Engine Software Informer
- Windows10(64bit) BDE(Borland Database Engine)
- Borland Database Engine Express 2.8 Download
- Borland Database Engine 5.11 - Download
Paradox[1] is a relational database management system currently published by Corel Corporation.It was originally released for MS-DOS by Ansa Software, and then updated by Borland after it bought the company. In mid 1991 Borland began the process to acquire Ashton-Tate and its competingdBase product line;[2] A Windows version was planned for release by Borland in 1992, but was delayed until January 1993, by which time Microsoft's Access for Windows was available.[3] It was last updated in 2009.[4]Paradox for DOS was a relational database management system originally written by Richard Schwartz and Robert Shostak, and released by their Belmont, California-based[5] company Ansa Software in 1985.[1]The New York Times described it as "among the first of an emerging generation of software making extensive use of artificial intelligence techniques," and noted that Paradox could read the competing Ashton Tate's dBase files.[1]In September 1987, Borland purchased Ansa Software, including their Paradox/DOS 2.0 software.[5] Notable classic versions were 3.5 and 4.5. Versions up to 3.5 were evolutions from 1.0. Version 4.0 and 4.5 were retooled in the Borland C++ windowing toolkit and used a different extended memory access scheme.Paradox/DOS was a successful DOS-based database of the late 1980s and early 1990s. At that time, dBase and its xBase clones (Foxpro, Clipper) dominated the market. Other notable competitors were Clarion, DataEase, R:Base, and DataFlex.The features that distinguished Paradox/DOS were:An enhanced design and implementation of visual Query by Example that was supported by an AI engine for heuristic, dynamic query optimization.Effective use of conventional, extended, and expanded
