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Devart
ODBC Driver for Jira Service Management Server - / 1+ User(s)
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Devart

ODBC Driver for Jira Service Management Server Standard for Windows Perpetual License –

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Available variants
Number of licences
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+
SKU 301100895
1327.96 CHF
for EU and non-EU countries (except Switzerland) including 0% VAT
1435.52 CHF
for Switzerland including 8.1% VAT
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Volume pricing on request Swiss distributor based in Rüti ZH
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About this product

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ODBC Driver for Jira Service Management Server by Devart

The ODBC Driver for Jira Service Management Server by Devart delivers direct access to Jira Service Management data with in-depth integration capabilities, ensuring seamless connectivity and reliable performance.

  • Direct Connect to Jira: Establish a direct connection to Jira Service Management servers to reduce latency and enhance data retrieval speed, ensuring you have up-to-date insights at all times.
  • Cross-Platform Compatibility: Available for Windows, macOS, and Linux, our driver supports a wide range of applications across multiple operating systems, providing flexibility in IT environments.
  • Advanced Data Conversion: Offers highly efficient data conversion routines, ensuring accurate querying of Jira Service Management data and facilitating smooth, accurate analytics.
  • Full ODBC API Support: Completely compatible with ODBC 3.8, supporting all standard data types, which enables integration with a wide variety of business intelligence and analytics tools.
  • Secure Data Transfer: Implements SSL-encrypted connections to protect your data during transfer, complying with industry standards for data security and privacy.
  • Customizable Connection Settings: Offers configurable parameters to control the behavior of the connection, tailored to fit your specific network settings and performance needs.
  • Easy Installation and Setup: Intuitive installation wizard and detailed documentation guide you through the setup process, enabling rapid deployment and minimal downtime.
  • Efficient Query Execution: Executes complex queries with enhanced performance optimizing algorithms, maximizing efficiency and reducing load times on data retrieval processes.
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