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

CData FireDAC Components for Google Analytics 17.0.6445

CData FireDAC Components for Google Analytics 17.0.6445
CData FireDAC Components for Google Analytics 17.0.6445 | 8 Mb


An easy-to-use database-like interface for Delphi & C++Builder Apps access to live Google Analytics data (Traffic, Users, Referrals, Geo, Behaviors, and more).

Connect to Google Analytics from Rad Studio Data Explorer.
Easy-to-use driver interfaces provide access to a full range of web traffic and analysis data.
Access Google Analytics data from reporting tools, databases, and custom applications.

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 Analytics
The easiest way to build data-centric applications. Write standard SQL queries to interact with Google Analytics, 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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