CData FireDAC Components for Google Calendars 17.0.6445 » Developer Team :: Best choice for developers!

CData FireDAC Components for Google Calendars 17.0.6445

CData FireDAC Components for Google Calendars 17.0.6445
CData FireDAC Components for Google Calendars 17.0.6445 | 9 Mb


An easy-to-use database-like interface for Delphi & C++Builder Apps access to live Google Calendar data (Calendars, Events, Attendees, and more).

Connect to Google Calendars from Rad Studio Data Explorer.
Easy-to-use driver interfaces provide access to a full range of data, including Calendars, Events, Attendees, etc.
Access Google Calendars data from reporting tools, databases, and custom applications.

Google Calendars FireDAC Components Included in Enterprise & Enterprise PLUS Subscriptions

Get the Google Calendar FireDAC Components together with 90+ additional components for SaaS, NoSQL, and Big Data integration! Our components offer the fastest & easiest way to build data driven Apps.

More than 90+ FireDAC Components for NoSQL, Big Data, & SaaS integration.
One year of free updates, upgrades, new releases, and support.
Enterprise and Enterprise PLUS Subscriptions.

Standard FireDAC Components

Just like connecting with a typical RDBMS like MySQL. or SQL Server. Use standard FireDAC components like TDFManager, TDFConnection, TDFQuery, etc.

Type SQL, Get Google Calendar

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

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.

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