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Devart
ODBC Driver for Klaviyo Desktop - / 1+ User(s)
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Devart

ODBC Driver for Klaviyo Desktop for Windows 2 years Subscription. Premium Support included –

Product
Available variants
Number of licences
−
+
SKU 300883929
224.06 CHF
for EU and non-EU countries (except Switzerland) including 0% VAT
242.21 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 Klaviyo Desktop by Devart: a cutting-edge solution that facilitates seamless connectivity and data integration between your Klaviyo analytics and other ODBC-compliant applications.
  • High Compatibility: Designed to fully support all ODBC 3.8 specifications, ensuring compatibility with a wide range of applications and operating systems for versatile use.
  • Secure Connections: Implements industry-standard security protocols to protect sensitive data during transactions, giving you peace of mind when transferring information.
  • Robust Data Access: Provides reliable, real-time access to Klaviyo data, allowing businesses to make informed decisions quickly and efficiently.
  • Customizable Query Support: Offers flexible SQL query building capabilities, empowering users to customize queries to meet specific analytical needs and extract precise insights.
  • Effortless Integration: Facilitates easy integration with leading analytics tools and platforms, streamlining operations and enhancing productivity.
  • Automatic Schema Detection: Automatically identifies changes in Klaviyo schema, adapting instantly and minimizing manual updates to ensure consistent data flow.
  • Advanced Data Conversion: Includes sophisticated data conversion functions that maintain data integrity across platforms for accurate and consistent results.
  • Comprehensive Documentation: Comes with extensive documentation and support resources, helping users to quickly set up and troubleshoot when needed.
  • Performance Optimization: Equipped with performance tuning options that maximize speed and efficiency when processing large datasets, saving valuable time.
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