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Devart Excel Add-in for Mailchimp allows you to connect Microsoft Excel to Mailchimp, quickly and easily load data from Mailchimp to Excel, instantly refresh data in an Excel workbook from the database, edit these data, and save them back to Mailchimp. It enables you to work with Mailchimp 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 Salesforce Marketing Cloud allows you to connect Microsoft Excel to Salesforce Marketing Cloud, quickly and easily load data from Salesforce Marketing Cloud to Excel, instantly refresh data in an Excel workbook from the database, edit these data, and save them back to Salesforce Marketing Cloud. It enables you to work with Salesforce Marketing Cloud 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 QuickBooks Online is a high-performance ADO.NET data provider that helps access and manage QuickBooks data through the standard ADO.NET or Entity Framework interfaces. It helps you easily integrate QuickBooks data into .NET applications. Our data provider has the same standard ADO.NET classes as other providers. This helps you get started quickly and eliminates the need to study any specifics of QuickBooks. - Broad compatibility with .NET platforms, including WPF, Blazor, MAUI, Windows Forms, 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
Devart Excel Add-in for PostgreSQL allows you to connect Microsoft Excel to PostgreSQL, quickly and easily load data from PostgreSQL to Excel, instantly refresh data in an Excel workbook from the database, edit these data, and save them back to PostgreSQL. It enables you to work with PostgreSQL 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 Cin7 Core allow you to integrate Cin7 Core data with other databases and cloud applications via SQL Server Integration Services (SSIS). They include optimized Cin7 Core Source, Cin7 Core Destination, and Cin7 Core Lookup components and provide their own Cin7 Core Connection Manager with lots of Cin7 Core-specific connectivity features. - Export data from Cin7 Core to various sources - Import XML, CSV, and other files to Cin7 Core - Automate Cin7 Core integration via SSIS Data Flow tasks - Migrate from/to Cin7 Core using SSIS - Synchronize Cin7 Core with SQL Server or other data sources - Integrate various data sources with Cin7 Core via SSIS
The NetSuite Python Connector by Devart is a robust and user-friendly solution designed to facilitate seamless integration between Python applications and NetSuite. It enables developers to perform create, read, update, and delete (CRUD operations on NetSuite data, adhering fully to the Python DB API 2.0 specification. Distributed as a wheel package, it supports both 32-bit and 64-bit Windows platforms, ensuring broad compatibility and ease of installation. Key Features and Functionality: - Standard SQL Syntax Support: The connector fully supports the ANSI SQL standard, allowing execution of SQL statements against NetSuite data as with relational databases. Simple queries are directly converted to NetSuite API calls, while complex queries are transformed into simpler ones for efficient processing. - High Performance: Features such as connection pooling and local data caching enhance access speed. Additionally, it supports batch processing of multiple update statements to improve execution time. - Platform Support: Compatible with Windows and Windows Server (both 32-bit and 64-bit, ensuring flexibility across different environments. - Unicode Compliance: The connector is Unicode-compliant, enabling retrieval and updating of multilingual data across various character encodings, including Chinese, Cyrillic, and Hebrew. - Comprehensive Data Type Support: It supports all NetSuite and Python data types, offering options to control data type mapping between the two. Primary Value and User Solutions: The NetSuite Python Connector streamlines the integration of NetSuite data into Python applications, allowing developers to interact with NetSuite as they would with traditional relational databases. By supporting standard SQL syntax and providing high-performance features like connection pooling and local caching, it simplifies data operations and enhances efficiency. Its Unicode compliance and comprehensive data type support ensure that applications can handle diverse datasets seamlessly. Overall, this connector addresses the need for a reliable, efficient, and easy-to-use solution for integrating NetSuite with Python applications.
Devart Excel Add-in for SugarCRM allows you to connect Microsoft Excel to SugarCRM, quickly and easily load data from SugarCRM to Excel, instantly refresh data in an Excel workbook from the database, edit these data, and save them back to SugarCRM. It enables you to work with SugarCRM 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 QuickBooks allow you to integrate QuickBooks data with other databases and cloud applications via SQL Server Integration Services (SSIS). They include optimized QuickBooks Source, QuickBooks Destination, and QuickBooks Lookup components and provide their own QuickBooks Connection Manager with lots of QuickBooks-specific connectivity features. - Export data from QuickBooks to various sources - Import XML, CSV, and other files to QuickBooks - Automate QuickBooks integration via SSIS Data Flow tasks - Migrate from/to QuickBooks using SSIS - Synchronize QuickBooks with SQL Server or other data sources - Integrate various data sources with QuickBooks via SSIS
Devart SSIS Data Flow Components for EmailOctopus allow you to integrate EmailOctopus data with other databases and cloud applications via SQL Server Integration Services (SSIS). They include optimized EmailOctopus Source, EmailOctopus Destination, and EmailOctopus Lookup components and provide their own EmailOctopus Connection Manager with lots of EmailOctopus-specific connectivity features. - Export data from EmailOctopus to various sources - Import XML, CSV, and other files to EmailOctopus - Automate EmailOctopus integration via SSIS Data Flow tasks - Migrate from/to EmailOctopus using SSIS - Synchronize EmailOctopus with SQL Server or other data sources - Integrate various data sources with EmailOctopus via SSIS
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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.