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Startseite Shop Devart ODBC Driver for Snowflake Server - / 1+ User(s)
Devart
ODBC Driver for Snowflake Server - / 1+ User(s)
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ODBC Driver for Snowflake Server Standard for Windows Perpetual Renewal. Premium Support included –

Produkt
Anzahl Lizenzen
+
Artikelnummer 301100502
796.76 CHF
für EU- und Nicht-EU-Länder (ausser der Schweiz) inkl. 0% MwSt.
861.30 CHF
für die Schweiz inkl. 8.1% MwSt.
Kaufen
Mengenrabatte auf Anfrage Schweizer Distributor mit Sitz in Rüti ZH
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Über dieses Produkt

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The ODBC Driver for Snowflake Server by Devart provides seamless integration and innovative features that enhance data interactions and analysis.

  • High-Performance Native Protocol: Leverage the driver’s support for the standard ODBC interface, ensuring fast and reliable access to Snowflake, with optimized native protocol support that maximizes performance.
  • Cross-platform Compatibility: Operate smoothly on major computer systems like Windows, macOS, and Linux, offering flexibility and ease of integration into your existing IT infrastructure.
  • Support for All ODBC-Compatible Applications: Use the driver with all ODBC-enabled tools and applications, providing a comprehensive solution for business intelligence, analytics, and reporting tasks.
  • Advanced Connection String Options: Enjoy greater control over data connections with extended support for encryption, authentication, and connection timeout settings, enhancing security and reliability.
  • Full Metadata Support: Access and manipulate Snowflake metadata efficiently with full cataloging capabilities, allowing for precise querying and updating of data structures.
  • Unicode and Data Type Coverage: Benefit from comprehensive data type support, including Unicode, to guarantee accurate data representation and compliance with global data standards.
  • Concise Installation and Support: Quickly deploy the driver with a straightforward installation process, backed by Devart’s dedicated technical support for ongoing performance optimization and troubleshooting.
  • Streamlined Data Handling: Enhance productivity by streamlining ETL tasks and ensuring data consistency and integrity across multiple applications and systems.
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