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The MongoDB Python Connector by Devart is a robust solution designed to facilitate seamless interaction between Python applications and MongoDB databases. Fully implementing the Python DB API 2.0 specification, this connector allows developers to perform create, read, update, and delete operations on MongoDB data with ease. Distributed as a wheel package, it supports multiple platforms, including Windows, macOS, and Linux, ensuring broad compatibility and straightforward deployment. Key Features and Functionality: - High Performance: The connector enables batch processing of multiple update statements, enhancing execution times and overall application efficiency. - Secure Communication: It supports SSL/TLS encryption, ensuring secure data transmission between the Python application and the MongoDB server. - Platform Support: Compatible with Windows , macOS , and Linux , the connector caters to diverse development environments. - Data Types Support: The connector supports all MongoDB and Python data types, offering additional options to control data type mapping between the MongoDB data types and Python data types. Primary Value and Problem Solved: The MongoDB Python Connector addresses the challenge of integrating Python applications with MongoDB databases by providing a reliable and efficient connectivity solution. By enabling SQL-like interactions with MongoDB data, it simplifies database operations for developers accustomed to relational database management systems. Its support for secure communication and high performance ensures that applications can handle data operations swiftly and safely, thereby enhancing overall productivity and data integrity.
Devart Excel Add-in for Marketo allows you to connect Microsoft Excel to Marketo, quickly and easily load data from Marketo to Excel, instantly refresh data in an Excel workbook from the database, edit these data, and save them back to Marketo. It enables you to work with Marketo 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 DB2 allow you to integrate DB2 data with other databases and cloud applications via SQL Server Integration Services (SSIS). They include optimized DB2 Source, DB2 Destination, and DB2 Lookup components and provide their own DB2 Connection Manager with lots of DB2-specific connectivity features. - Export data from DB2 to various sources - Import XML, CSV, and other files to DB2 - Automate DB2 integration via SSIS Data Flow tasks - Migrate from/to DB2 using SSIS - Synchronize DB2 with SQL Server or other data sources - Integrate various data sources with DB2 via SSIS
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 Reviews
Lyudmila Z.
Marketing specialist at EVADAV - The Evolving Ad NetworkSalesforce to BigQuery sync
Burke A.
Cost-Effective Integration Solution
Maksym V.
Посада COO at GeonixA solid integration platform for day-to-day data workflows
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.
