ADO.NET Provider Overview
- DataBind to Slack using standard Visual Studio wizards.
- Comprehensive support for CRUD (Create, Read, Update, and Delete) operations.
- An easy-to-use 'flattened' interface for working with Slack databases.
The Slack ADO.NET Provider offers the most natural way to access Slack data from any .NET application. Simply use Slack Data Provider objects to connect and access data just as you would access any traditional database. You will be able to use the Slack Data Provider through Visual Studio Server Explorer, in code through familiar classes, and in data controls like DataGridView, GridView, DataSet, etc.
Using the Slack Provider
The Slack Data Provider wraps the complexity of accessing Slack services in an easy-to-integrate, fully managed ADO.NET Data Provider. Applications then access Slack through the Slack Data Provider with simple Transact-SQL.
The CData ADO.NET Provider for Slack hides the complexity of accessing data and provides additional powerful security features, smart caching, batching, socket management, and more.
Working with DataAdapters, DataSets, DataTables, etc.
The Slack Data Provider has the same ADO.NET architecture as the native .NET data providers for SQL Server and OLEDB, including SlackConnection, SlackCommand, SlackAdapter, SlackDataReader, SlackDataSource, SlackParameter, etc. Because of this you can now access Slack data in an easy, familiar way.
More Than Read-Only: Full Update/CRUD Support
Slack Data Provider goes beyond read-only functionality to deliver full support for Create, Read, Update, and Delete operations (CRUD). Your end-users can interact with the data presented by the Slack Data Provider as easily as interacting with a database table.
Fully managed .NET: 100% fully managed ADO.NET libraries supporting .NET Standard, .NET Core 2.0, & Xamarin.
Developer Friendly: Seamless integration with all versions of Visual Studio.
Powerful ADO.NET Features: Including support for ADO.NET Entity Framework (EF 5 & 6), ADO.NET 2.0, LINQ to Datasets, etc.
Replication and Caching: Our replication and caching commands make it easy to copy data to local and cloud data stores such as Oracle, SQL Server, Google Cloud SQL, etc. The replication commands include many features that allow for intelligent incremental updates to cached data.
String, Date, Numeric SQL Functions: The driver includes a library of 50 plus functions that can manipulate column values into the desired result. Popular examples include Regex, JSON, and XML processing functions.
Collaborative Query Processing: Our drivers enhance the data source's capabilities by additional client-side processing, when needed, to enable analytic summaries of data such as SUM, AVG, MAX, MIN, etc.
Easily Customizable and Configurable: The data model exposed by our ADO.NET Providers can easily be customized to add or remove tables/columns, change data types, etc. without requiring a new build. These customizations are supported at runtime using human-readable schema files that are easy to edit.
Secure Connectivity: Includes standard Enterprise-class security features such as TLS/ SSL data encryption for all client-server communications.
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