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CData Drivers for Streak v23.0.8839 (14 March 2024) All Platforms + License Key

2024-12-18 23:03:30
CData Drivers for Streak v23.0.8839 (14 March 2024) All Platforms + License KeyCData Drivers for Streak v23.0.8839 (14 March 2024) All Platforms + License Key

Effortlessly integrate Streak data into your systems with CData Drivers for Streak, enabling connectivity to live data from reporting tools, databases, and custom applications. Seamlessly integrate Streak data with BI, Reporting, Analytics, ETL Tools, and Custom Solutions for comprehensive insights and analysis.

Experience unmatched query performance and comprehensive access to Streak data and metadata with our drivers. seamlessly integrates with your preferred analytics tools, providing the fastest and easiest way to connect real-time Streak data with BI, analytics, reporting, and data visualization technologies.

Facilitate robust, reliable, and secure data movement with our ETL, Replication, & Warehousing solutions for Streak integration. Extend your favorite ETL tools with Streak connectivity or utilize dedicated ETL/ELT tools for replication, ensuring efficient operational reporting, improved query performance, and support for data governance initiatives. Additionally, streamline data management by connecting your RDBMS or data warehouse with Streak effortlessly, thanks to support for popular database protocols like ODBC, JDBC, and ADO.NET.

This package includes the following components:

  • Excel Add-In for Streak
  • Streak ADO.NET Provider
  • Streak BizTalk Adapter
  • Streak Data Cmdlets
  • Streak FireDAC Components
  • Streak JDBC Driver
  • Streak MuleSoft Connector
  • Streak ODBC Driver
  • Streak Power BI Connector
  • Streak SSIS Components
  • Streak Tableau Connector

Key Features of CData Drivers for Streak :

  1. Seamless connectivity to live Streak data
  2. Integration with BI, Reporting, Analytics, ETL Tools, and Custom Solutions
  3. Unmatched query performance
  4. Comprehensive access to Streak data and metadata
  5. Compatibility with favorite analytics tools
  6. Robust, reliable, and secure data movement
  7. Support for ETL, Replication, & Warehousing solutions
  8. Integration with RDBMS or data warehouse systems
  9. Support for popular database protocols (ODBC, JDBC, ADO.NET)
  10. Compatibility with data migration, ESB, iPaaS, and BPM tools
  11. Developer-friendly integration
  12. Data-centric model for simplified integration
  13. Advanced data virtualization features