Einstein FireDAC Components

Rapidly create and deploy powerful Delphi & C++Builder Apps that integrate with Salesforce Einstein.

  • Connect to Salesforce Einstein data from Rad Studio Data Explorer.
  • Easy-to-use client library enables developers to easily integrate Delphi & C++Builder Apps with Salesforce Einstein platform and prediction services.

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CData FireDAC Components for Salesforce Einstein
 Included in FireDAC Subscriptions: 125+ Components for real-time data access.

Extend Delphi & C++Builder Apps with unrivaled data connectivity!

Einstein FireDAC Components Included in Enterprise Subscriptions


Get the Salesforce Einstein FireDAC Components together with 125+ additional components for SaaS, NoSQL, and Big Data integration! Our components offer the fastest & easiest way to build data driven Apps.

  • More than 125+ FireDAC Components for NoSQL, Big Data, & SaaS integration.
  • One year of free updates, upgrades, new releases, and support.

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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 := 'SalesforceEinsteinConnection';
FDConnection1.DriverName := 'CData.Fire.SalesforceEinstein';
with FDConnection1.Params as     
    TFDPhysCDataSalesforceEinsteinConnectionDefParams do begin

    ...
end;


FDConnection1.Connected := true;
FDQuery1.Active := true;
FDQuery1.Open('select * from Dataset');

...

Type SQL, Get Salesforce Einstein


The easiest way to build data-centric applications. Write standard SQL queries to interact with Salesforce Einstein, just like working with any RDBMS. Supports joins, updates, aggregation, and more.

SELECT WITH INNER JOIN

SELECT Dataset.Id, Dataset.Name, Dataset.Fax,     
  Opportunity.AccountId, Opportunity.CloseDate
FROM Dataset
INNER JOIN Opportunity
  ON Dataset.Id = Opportunity.AccountId

AGGREGATE FUNCTIONS

SELECT Name, AVG(AnnualRevenue) FROM Dataset GROUP BY Name

CRUD OPERATIONS

UPDATE Dataset SET Name='John' WHERE Id = @myId



Powerful Enterprise features