MS Project FireDAC Components
Rapidly create and deploy powerful Delphi & C++Builder Apps that integrate with Microsoft Project data including Tasks, Issues, Projects, Deliverables, and more!
- Connect to Microsoft Project from Rad Studio Data Explorer.
- Comprehensive support for CRUD (Create, Read, Update, and Delete) operations.
- Integrate Delphi & C++Builder Apps with Microsoft Project Tasks, Issues, Projects, Deliverables, and more!
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FireDAC Components in Action
Connecting to Any Data Source is as Easy as Connecting to a Database
Standard FireDAC Components
Just like connecting with a typical RDBMS like MySQL. or SQL Server. Use standard FireDAC components like TDFManager, TDFConnection, TDFQuery, etc.
FDConnection1.Name := 'MicrosoftProjectConnection';
FDConnection1.DriverName := 'CData.Fire.MicrosoftProject';
with FDConnection1.Params as
TFDPhysCDataMicrosoftProjectConnectionDefParams do begin
...
end;
FDConnection1.Connected := true;
FDQuery1.Active := true;
FDQuery1.Open('select * from Projects');
...
Type SQL, Get Microsoft Project
The easiest way to build data-centric applications. Write standard SQL queries to interact with Microsoft Project, just like working with any RDBMS. Supports joins, updates, aggregation, and more.
SELECT WITH INNER JOIN
SELECT Projects.Id, Projects.Name, Projects.Fax,
Opportunity.AccountId, Opportunity.CloseDate
FROM Projects
INNER JOIN Opportunity
ON Projects.Id = Opportunity.AccountId
AGGREGATE FUNCTIONS
SELECT Name, AVG(AnnualRevenue) FROM Projects GROUP BY Name
CRUD OPERATIONS
UPDATE Projects SET Name='John' WHERE Id = @myId
Powerful Enterprise features
- Seamless Integration:Feature-rich high-performance Data Access Components that extend Delphi & C++Builder Apps with SaaS, NoSQL, & Big Data connectivity.
- Developer Friendly: Full Design-time support for data operations directly from RAD Studio. Work with live data directly from the IDE Data Explorer and FireDAC explorer.
- 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 DAC Components 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.
