ADO.NET Data Providers Integrations

PostgreSQL offers unparalleled performance and endless possibilities. PostgreSQL Data Access Components is a collection of components that provide native connectivity to PostgreSQL using C++Builder and Delphi. It also includes Lazarus (and Free Pascal), for 32-bit and 64 bit platforms. PgDAC was created to allow programmers to create lightweight, faster and cleaner PostgreSQL databases applications without having to deploy additional libraries. PgDAC is an alternative to standard PostgreSQL connectivity solutions. It offers an efficient alternative to standard dbExpress drivers and the Borland Database Engine. It allows direct access to PostgreSQL with no need for the PostgreSQL client. PgDAC allows developers optimize their database applications and take advantage of the full capabilities offered by PostgreSQL.

Astera ReportMiner, a data extraction platform, provides users with a complete solution to data integration and ingestion. ReportMiner allows users to extract business data from TXT, PDF, and DOC files. ReportMiner offers business rules-based data quality assurance, data cleansing, transformation, and loading into a variety of databases platforms.

Microsoft has worked hard on making.NET and SQL Server a strong combination, and VistaDB brings this capability into a small and easy-to-deploy packaged. VistaDB is a small, managed assembly that you can deploy with your app. Each database is a separate file. Using Xamarin you can fit a complete RDBMS onto your phone. VistaDB is a compliant ADO.NET provider of data with support for Entity Frame, ADO.NET and Typed Datasets, as well as its direct data access API to perform efficient cursor-based operations. VistaDB is compatible with a variety of third-party ORMs and reporting systems thanks to ADO.NET. VistaDB fully supports ADO.NET's provider factory model, allowing you to create a single codebase that targets VistaDB or SQL Server. Imagine all the things that are built on ADO.NET. Not just your application, but also reporting systems, ORMs and other data-driven libraries.