登录

CData Drivers for Parquet v24.0.8963 (16 Jul 2024) All Platforms + License Key

2024-12-18 23:04:00
CData Drivers for Parquet v24.0.8963 (16 Jul 2024) All Platforms + License KeyCData Drivers for Parquet v24.0.8963 (16 Jul 2024) All Platforms + License Key

CData Drivers for Parquet offers a comprehensive suite of drivers tailored for seamless integration with Apache Parquet columnar storage. These drivers facilitate connectivity from various BI, analytics, reporting, and visualization tools to Parquet data, ensuring unparalleled query performance and extensive access to data and metadata. Whether you're working with ETL/ELT tools for data replication, data management applications, workflow automation tools, or developer frameworks, CData's Parquet drivers provide robust, reliable, and secure data movement capabilities.

With support for widely-used database protocols such as ODBC, JDBC, and ADO.NET, as well as specialized interfaces for SQL Server and MySQL, connecting to and managing Parquet data becomes effortless across a spectrum of database management applications. Moreover, integration with popular data migration, ESB, iPaaS, BPM tools, and developer technologies ensures flexibility and ease of use.

also offers a data-centric model that simplifies integration, empowering developers to build high-quality applications more efficiently. Additionally, these drivers enable data virtualization, providing a virtual database abstraction layer atop Parquet data with support for advanced features like query federation and predicate pushdown, thereby enhancing query performance and scalability.

This package includes the following components:

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

Key Features of CData Drivers for Parquet :

  1. Fast and seamless connectivity to Parquet data
  2. Comprehensive access to both data and metadata
  3. High query performance
  4. Integration with BI, analytics, reporting, and data visualization tools
  5. Support for ETL/ELT tools for data replication
  6. Connectivity with RDBMS and data warehouses
  7. Support for popular database protocols like ODBC, JDBC, and ADO.NET
  8. Compatibility with workflow automation tools and developer frameworks
  9. Simplified integration for developers
  10. Data virtualization capabilities
  11. Advanced features such as query federation and predicate pushdown