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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 SSIS Data Flow Components for Amazon Redshift allow you to integrate Amazon Redshift data with other databases and cloud applications via SQL Server Integration Services (SSIS). They include optimized Amazon Redshift Source, Amazon Redshift Destination, and Amazon Redshift Lookup components and provide their own Amazon Redshift Connection Manager with lots of Amazon Redshift-specific connectivity features. - Export data from Amazon Redshift to various sources - Import XML, CSV, and other files to Amazon Redshift - Automate Amazon Redshift integration via SSIS Data Flow tasks - Migrate from/to Amazon Redshift using SSIS - Synchronize Amazon Redshift with SQL Server or other data sources - Integrate various data sources with Amazon Redshift via SSIS
The SAP ASE Python Connector by Devart is a robust and user-friendly solution designed to facilitate seamless integration between Python applications and SAP Adaptive Server Enterprise (ASE, formerly known as Sybase ASE. Fully implementing the Python DB API 2.0 specification, this connector enables developers to perform create, read, update, and delete operations on SAP ASE databases efficiently. It is distributed as a wheel package compatible with Windows, macOS, and Linux platforms. Key Features and Functionality: - Direct Connection: Establishes a direct TCP/IP connection to SAP ASE without requiring a database client library, enhancing data transmission speed. - High Performance: Supports batch processing of multiple update statements, improving execution time and overall application performance. - Fast Deployment: Simplifies deployment across multiple user workstations by eliminating the need for distributing the database client library. - Secure Communication: Ensures data security through support for SSL/TLS encryption, SSH tunneling, and HTTP/HTTPS tunneling between the Python application and SAP ASE server. - Platform Support: Offers compatibility with Windows (32-bit and 64-bit, macOS (64-bit, and Linux (64-bit systems. - Unicode Compliance: Handles multilingual data seamlessly, supporting various character encodings such as Chinese, Cyrillic, and Hebrew. - Comprehensive Data Type Support: Supports all SAP ASE and Python data types, with options to control data type mapping between them. Primary Value and User Benefits: The SAP ASE Python Connector addresses the need for a reliable and efficient means of connecting Python applications to SAP ASE databases. By offering direct connections, high performance, and secure communication, it streamlines database operations, reduces deployment complexities, and ensures data integrity. This connector is particularly beneficial for developers seeking a straightforward and effective solution for integrating SAP ASE with Python applications across various platforms.
Devart SSIS Data Flow Components for ActiveCampaign allow you to integrate ActiveCampaign data with other databases and cloud applications via SQL Server Integration Services (SSIS). They include optimized ActiveCampaign Source, ActiveCampaign Destination, and ActiveCampaign Lookup components and provide their own ActiveCampaign Connection Manager with lots of ActiveCampaign-specific connectivity features. - Export data from ActiveCampaign to various sources - Import XML, CSV, and other files to ActiveCampaign - Automate ActiveCampaign integration via SSIS Data Flow tasks - Migrate from/to ActiveCampaign using SSIS - Synchronize ActiveCampaign with SQL Server or other data sources - Integrate various data sources with ActiveCampaign via SSIS
Devart Reviews
Tetiana K.
Communications Officer at Eurasia FoundationTmetricks: Easy, Affordable, and Great for Tracking Team Efficiency
Alex K.
Co-Founder & CTO | Architecting Scalable Systems & High-Performance Engineering CulturesFast, Straightforward Data Syncing That Just Works
Dmytro S.
Co-Founder at SyntropyGood for centralizing campaign and product marketing data
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.