Data Abstract 'Vinci' for .NET - .NET - V5.0.31

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Build scalable multi-tier database solutions. RemObjects Data Abstract for .NET is an RAD tool for writing multi-tier solutions in .NET and Mono. RemObjects Data Abstract allows you to create services that access any database, by providing a clear separation between data-access and business-logic. Data Abstract for .NET will enable your applications to interface with different database systems, even simultaneously, instead of depending from any single one. RemObjects Data Abstract for .NET supports a wide range of database back-ends, including Microsoft SQL Server, Oracle, DB2, Interbase/Firebird, Sybase, PostgreSQL, MySQL, SQLite and many more.

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$1,273.02

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Data Abstract 'Vinci' for .NET V5.0.31 - New User, Site and Volume Licenses

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Data Abstract 'Vinci' for .NET V5.0.31 - Renewal, one year

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Data Abstract 'Vinci' for .NET V5.0.31 - Upgrade

In den Einkaufswagen	$ 979.02	1 User Upgrade License ( Upgrade from Data Abstract 4.0 for .NET )	Prüfen	Download (29 KB)
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Data Abstract 'Vinci' for .NET V5.0.31 - Cross-grade

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What's New in Data Abstract 'Vinci' for .NET?

Features in all editions of Data Abstract

• AutoSQL lets Data Abstract generate SELECT statements on the fly, when needed
• Dynamic Select allows clients to retrieve subsets of fields, optimizes network traffic and reduces client side memory load
• Reduced Deltas feature for reducing network bandwidth when applying updates to tables with many fields or large blobs
• Dynamic Where allows clients to supply custom conditions for filtering data server-side, and apply those securely without risk of SQL injection attacks
• New Connection Types provide more flexibility for matching up statements in multi-database scenarios
• New expandable Reconcile Dialog architecture to easily provide end-users with feedback about failed updates
• Transparent support for Data Table Unions to publish combined data from multiple data tables as a single entity
• New Bin2DataStreamer for improved and more efficient streaming of data between client and servers
• Native support has been added for new XML, GUID and Decimal data types.
• New driver support is being provided for the open source SQLite embedded database
• Support for versioning of schema files.
• New Welcome Page displayed after the first install to assist new users with getting acquainted with the product.

Features specific to Data Abstract for .NET

• Database Schemas can now be accessed via the browser when using HTTP Server Channels
• SQL Server Compact Edition driver support
• Experimental support for the upcoming Visual Studio Codename 'Orcas'.

Data Abstract for .NET and Mono is a data-access framework built on top of ADO.NET and designed to create distributed cross-database systems. Extending RemObjects SDK for .NET, it allows you to create services that access any database by providing a clear separation between data-access and business-logic. Through the use of schemas and the Schema Modeler utility, it enables you to maintain a unique code base to access multiple database engines at the same time. Cross database systems are now as simple to build as single database ones.

.NET Specific Features

• The unique RemoteDataAdapter allows you to stream and update multiple data tables at once, avoiding redundant network round-trips
• Extendable Data Abstract Remote Service provides you with all the basics to access your databases and start coding your business layer immediately
• Unique and simpler driver architecture controlled by XML configuration files
• Exchange data in an optimized binary format with clients written in .NET, Mono, Delphi or Kylix and running on a large variety of platforms

Core Features

• Build scalable multi-tier cross platform database applications for .NET, Mono and Win32
• Target different database back-ends using a common code base
• Use Schema Modeler to design the interface of your data
• Leverage the new wizards and IDE enhancements to build DA applications even easier than with previous versions
• Support for a wide range of database back-ends, including Microsoft SQL Server, Oracle, DB2, Interbase/Firebird, Sybase, PostgreSQL, MySQL, SQLite, NexusDB and many more

Features

• Complete abstraction of different databases: use the same code for Microsoft SQL Server, InterBase, Oracle, MySQL, DBISAM, DB/2, etc.
• Build your applications with a "stateless" focus for maximum scalability and seamless cluster integration
• Stream data all at once, on demand, paged or any combination of those
• Re-synch fields automatically with the remote data source
• Use update rules to design complex update sequences without a single line of code
• Enhanced Business Processors give you more control on your business updates
• Cross-database autoincrement and generator-based field support
• Work with either auto-generated SQL or proprietary dialects, whenever higher performance or access to RDBMS specific features is required
• Full support for stateless Master/Detail transactional updates
• Update Rules: create complex update sequences without a single line of code
• Design your data-access layer in an innovative RAD way using the Schema Modeler
• Minimize SQL dialect differences using Data Abstract's macro processor
• Easily create your own data access driver to extend the list that comes with the product
• Support for regular expressions for client-side data-validation
• No deployment license costs

Data Abstract Schema Modeler
Data Abstract's use of Schemas enables you to maintain a unique code base to access multiple database engines at the same time, making it easy to build cross database systems.
Schemas shield both the middle-tier business logic and the client applications from the intricacies of the back-end database by defining the proper commands and data tables and mapping these to the physical data sources.
Data Abstract includes the Schema Modeler utility, which is deeply integrated with the supported IDEs, to aid you in designing and maintaining Schema definitions. Schema Modeler includes tools for creating data tables and commands from the underlying database, designing the mappings for individual data sources and defining master/detail and foreign key relationships.