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SSIS Data Flow Components for Snowflake by Devart

Devart s.r.o.

SSIS Data Flow Components for Snowflake by Devart

Devart s.r.o.

Reliable and simple to use data connector for Snowflake.

Snowflake SSIS Data Flow Components

Devart SSIS Data Flow Components for Snowflake allow you to integrate Snowflake contacts, accounts, opportunities, leads, users, attachments, tasks, and other objects with other cloud applications and databases via SQL Server Integration Services (SSIS). They include optimized Snowflake Source, Snowflake Destination, and Snowflake Lookup components and provide their own Snowflake Connection Manager with lots of Snowflake-specific connectivity features.

Export data from Snowflake to various sources
Import XML, CSV, and other files to Snowflake
Automate Snowflake integration via SSIS Data Flow tasks
Migrate from/to Snowflake using SSIS
Synchronize Snowflake with SQL Server or other data sources
Integrate various data sources with Snowflake via SSIS Snowflake Via SSIS Data Flow Components

Snowflake Data Integration Via SSIS Data Flow Components

Integrate your Snowflake data using Devart SSIS Data Flow Components. This solution simplifies the process of connecting and managing your Snowflake data, so you can ensure smooth data flows between Snowflake and other critical business systems. Thus you can improve your data-related operations and maintain data integrity across all platforms. Our solution does the following:

  • Provides a framework that supports multiple data formats for reliable data integration across various platforms
  • Allows you to define custom data validation rules, transformations, and mappings
  • Enables you to create efficient ETL processes that run automatically
  • Offers flexible and scalable means of handling large volumes of data and complex integration scenarios

Automated ETL Solutions with SQL Server

Automate your ETL processes with SQL Server for better productivity and reduce manual efforts. Our tools allow you to create ETL workflows that automatically extract, transform, and load data, minimizing errors and saving time. Achieve higher operational efficiency and focus on strategic business initiatives while our automation handles repetitive tasks. Our solution does the following:

  • Allows your team to focus on more strategic activities rather than repetitive data management tasks
  • Ensures that your data is consistently accurate and reliable across all integrated systems
  • Reduces the need for extensive manpower and decreases the risk of error
  • Offers efficient management of large-scale data integration tasks

Specific Connection Features

Our SSIS components for Snowflake include their own connection manager, offering support for a lot of Snowflake-specific and other features. It allows you to use user/password, OAuth, or SessionId authentication, specify Snowflake-specific header options, connect via proxy, etc.

Convenient Snowflake Source Editor

Devart Snowflake Source component offers a convenient editor, which displays all the Snowflake objects and their fields and allows you to quickly build a query to Snowflake via drag-n-drop. It also displays the list of available system and user variables of the package, allowing you to quickly add them to your SELECT statements. If necessary, you can also quickly preview data, returned by the source, and check whether you query returns what you need.

Advanced Lookup Optimizations

Devart Snowflake Lookup component offers very high performance because of the advanced optimization techniques used. It checks several rows at once, and caches the returned results to reduce the number of round-trips to the server.

High-performance Snowflake Destination

Devart Snowflake Destination component allows you to quickly load data to Snowflake CRM. It supports all kinds of DML operations - INSERT, UPDATE, and DELETE.

SQL Support for Snowflake

Devart Snowflake Source supports SQL to get data from Snowflake. Simple statements are translated directly to Snowflake API calls and executed on the Snowflake side, and for more complex statements, the necessary data are queried from Snowflake and processed locally. You can specify complex SELECT statements with grouping, filtering, ordering, etc. in the Devart Snowflake Source editor.

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