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Devart Excel Add-in for Shopify allows you to connect Microsoft Excel to Shopify, quickly and easily load data from Shopify to Excel, instantly refresh data in an Excel workbook from the database, edit these data, and save them back to Shopify. It enables you to work with Shopify data like with usual Excel worksheets, easily perform data cleansing and de-duplication, and apply all the Excel's powerful data processing and analysis capabilities to these data.
Devart Excel Add-in for DB2 allows you to connect Microsoft Excel to DB2, quickly and easily load data from DB2 to Excel, instantly refresh data in an Excel workbook from the database, edit these data, and save them back to DB2. It enables you to work with DB2 data like with usual Excel worksheets, easily perform data cleansing and de-duplication, and apply all the Excel's powerful data processing and analysis capabilities to these data.
The Dynamics 365 Python Connector is a robust solution designed to facilitate seamless integration between Python applications and Dynamics 365 Customer Engagement (formerly Dynamics CRM. It enables developers to perform create, read, update, and delete (CRUD operations on Dynamics 365 data using standard SQL syntax, simplifying data manipulation and enhancing productivity. Fully compliant with the Python DB API 2.0 specification, this connector is available as a wheel package compatible with Windows, macOS, and Linux platforms. Key Features and Functionality: - Standard SQL Syntax Support: Execute SQL statements against Dynamics 365 data as you would with relational databases. Simple queries are directly converted to Dynamics 365 API calls, while complex queries are transformed and processed efficiently. - High Performance: Features connection pooling and local data caching to boost access speed. Supports batch processing of multiple update statements to enhance execution time. - Cross-Platform Compatibility: Available for Windows (32-bit and 64-bit, macOS (64-bit and ARM, including Apple M1 and M2, and Linux (64-bit. - Unicode Compliance: Retrieve and update multilingual data seamlessly, regardless of character encoding, supporting languages such as Chinese, Cyrillic, Hebrew, and more. - Comprehensive Data Type Support: Supports all Dynamics 365 and Python data types, offering options to control data type mapping between them. Primary Value and User Benefits: The Dynamics 365 Python Connector addresses the challenge of integrating Python applications with Dynamics 365 by providing a straightforward, high-performance solution. By supporting standard SQL syntax and offering features like connection pooling and local caching, it simplifies data operations and enhances efficiency. Its cross-platform support ensures that developers can work in their preferred environments without compatibility concerns. Overall, this connector streamlines the development process, allowing for more effective and efficient interaction with Dynamics 365 data.
Devart Excel Add-in for Oracle allows you to connect Microsoft Excel to Oracle, quickly and easily load data from Oracle to Excel, instantly refresh data in an Excel workbook from the database, edit these data, and save them back to Oracle. It enables you to work with Oracle data like with usual Excel worksheets, easily perform data cleansing and de-duplication, and apply all the Excel's powerful data processing and analysis capabilities to these data.
Devart Excel Add-in for Freshbooks allows you to connect Microsoft Excel to Freshbooks, quickly and easily load data from Freshbooks to Excel, instantly refresh data in an Excel workbook from the database, edit these data, and save them back to Freshbooks. It enables you to work with Freshbooks data like with usual Excel worksheets, easily perform data cleansing and de-duplication, and apply all the Excel's powerful data processing and analysis capabilities to these data.
dotConnect for Zoho CRM is a high-end ADO.NET data provider that helps access and manage Zoho CRM data through the standard ADO.NET or EF Core interfaces. Thus, it helps you easily integrate this data into .NET applications. Our data provider works with the standard ADO.NET classes. This allows you to get started quickly and eliminates the need to study any specifics of Zoho CRM. What's more, our provider utilizes its own SQL engine for data retrieval, which makes the entire process even more efficient. - Broad compatibility with .NET platforms, including ASP.NET Core, Blazor, MAUI, .NET Framework, etc. - ORM support: EF Core, Dapper, NHibernate, LinqConnect, etc. - Full compliance with ADO.NET - SSL, SSH, proxy servers, and HTTP tunnels support - Integration with Visual Studio and design-time support - Regular updates and detailed documentation
The BigCommerce Python Connector is a robust and user-friendly solution designed to facilitate seamless integration between Python applications and BigCommerce stores. By fully implementing the Python DB API 2.0 specification, it enables developers to perform create, read, update, and delete operations on BigCommerce data using standard SQL syntax. This connector is distributed as a wheel package compatible with Windows, macOS, and Linux platforms. Key Features and Functionality: - Standard SQL Syntax Support: Allows execution of SQL statements against BigCommerce data, with simple queries directly converted to API calls and complex queries processed through an embedded SQL engine. - High Performance: Features connection pooling and local data caching to enhance access speed, and supports batch processing of multiple update statements to improve execution time. - Cross-Platform Compatibility: Available for Windows , macOS , and Linux , ensuring broad usability across different operating systems. - Unicode Compliance: Supports retrieval and updating of multilingual data, accommodating various character encodings such as Chinese, Cyrillic, and Hebrew. - Comprehensive Data Type Support: Handles all BigCommerce and Python data types, offering options to control data type mapping between them. Primary Value and User Solutions: The BigCommerce Python Connector streamlines the integration of BigCommerce data into Python applications, enabling developers to interact with e-commerce data using familiar SQL syntax. This reduces the complexity associated with direct API interactions and accelerates development processes. By supporting multiple platforms and ensuring high performance through features like connection pooling and local caching, the connector enhances efficiency and scalability for businesses managing their BigCommerce stores programmatically.
Devart Excel Add-in for Zoho Books allows you to connect Microsoft Excel to Zoho Books, quickly and easily load data from Zoho Books to Excel, instantly refresh data in an Excel workbook from the database, edit these data, and save them back to Zoho Books. It enables you to work with Zoho Books data like with usual Excel worksheets, easily perform data cleansing and de-duplication, and apply all the Excel's powerful data processing and analysis capabilities to these data.
Devart SSIS Data Flow Components for Adobe Commerce allow you to integrate Adobe Commerce data with other databases and cloud applications via SQL Server Integration Services (SSIS). They include optimized Adobe Commerce Source, Adobe Commerce Destination, and Adobe CommerceLookup components and provide their own Adobe Commerce Connection Manager with lots of Adobe Commerce-specific connectivity features. - Export data from Adobe Commerce to various sources - Import XML, CSV, and other files to Adobe Commerce - Automate Adobe Commerce integration via SSIS Data Flow tasks - Migrate from/to Adobe Commerce using SSIS - Synchronize Adobe Commerce with SQL Server or other data sources - Integrate various data sources with Adobe Commerce via SSIS
Devart Reviews
Emily C.
Procurement Specialist at Buildcore ConstructionsEasy, No-Code Data Sync Setup with Straightforward Pricing
Lena F.
Recruitment Coordinator at TalentBridge SolutionsReliable cloud syncing that saved our HR data pipelines without needing an IT overhaul
Tetiana K.
Communications Officer at Eurasia FoundationTmetricks: Easy, Affordable, and Great for Tracking Team Efficiency
About
Streamline complex data tasks and increase productivity with our expert solutions
Since its founding in 1997, Devart has been working on simplifying and enhancing data workflows for both individual professionals and teams, including enterprise-level organizations from the Fortune 100 list. Currently, Devart is one of the leading developers of data integration, backup, management, and connectivity solutions, as well as database tools for major database management systems and cloud platforms.