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dotConnect release: Broader data access and .NET 11 compatibility

The latest dotConnect release brings Entity Framework Core 11 support and.NET 11 compatibility, along with improvements to server version configuration, MariaDB support, secure connections, and NuGet deployment. The update also introduces action-level authorization for SQLite and improves Firebird client discovery in Visual Studio. Entity Developer 8.3 joins the release with Entity Framework Core 11 and.NET 11 support for visual model development.

dotConnect supports Entity Framework Core 11: JSON partial updates, primitive collections, FULL JOIN, and more

dotConnect providers now support Entity Framework Core 11 on.NET 11, introducing new capabilities for working with JSON data, primitive collections, and LINQ queries. You can update individual properties in JSON documents, query and index JSON paths, filter data using primitive collections, and use FULL JOIN and ordered string aggregates. Your existing models keep working: the packages are the same, now with EF Core 11 builds.

dotConnect for Google BigQuery: Bring BigQuery data into your .NET applications

We are excited to introduce dotConnect for Google BigQuery, a brand-new ADO.NET data provider that brings Google BigQuery connectivity to.NET applications through familiar data access interfaces. With dotConnect for Google BigQuery, developers can execute GoogleSQL queries, integrate analytical data using Entity Framework Core, and load large datasets efficiently.

dotConnect for MongoDB: Query MongoDB collections with SQL in your .NET applications

Meet dotConnect for MongoDB, an ADO.NET provider that lets.NET applications work with MongoDB collections through plain SQL and the standard ADO.NET classes. You can run SELECT queries with JOIN and GROUP BY, change data with INSERT, UPDATE, and DELETE, and rely on Entity Framework Core for object-oriented access. Native MongoDB commands in JSON are there when you need them, and the provider includes the MongoDB client libraries for Windows, so there is nothing else to install.

PostgreSQL Query Builder: Build Complex SQL Queries Visually

Build complex PostgreSQL queries visually without manual SQL coding with dbForge Studio for PostgreSQL. Whether you are a developer, DBA, data analyst, or manager, creating complex SQL statements shouldn't be a tedious manual chore. dbForge Studio for PostgreSQL provides an intuitive visual Query Builder that lets you construct, edit, and optimize SELECT, INSERT, UPDATE, and DELETE queries through interactive diagrams.

Devart Python Connectors add support for Python 3.15 and the latest database versions

We are pleased to announce a new release of Devart Python Connectors, bringing support for Python 3.15, Microsoft SQL Server 2025, Oracle 26ai, and MySQL 9.7.x. The update also introduces new authentication methods, connection options, and improvements to data type handling across multiple connectors.

Devart ODBC Drivers update brings SQL Server 2025, MySQL 9.7, and new Snowflake authentication methods

The latest release of Devart ODBC Drivers is here, bringing support for Microsoft SQL Server 2025, MySQL 9.7.x, and NexusDB 4.75.20, along with new authentication methods, advanced data protection features, and improved compatibility with development tools and operating systems.

Analyze Data & Create Reports Across Databases with dbForge Edge

Analyze, visualize, and report database data across multiple database systems and cloud services with dbForge Edge. Write SQL queries or generate them with AI Assistant , analyze data with Pivot Tables, explore related records with Master-Detail Browser, visualize findings in charts, and create clear database reports — all within one multi-database solution.

Data Analysis & Reporting Across Databases and Cloud Services With dbForge Edge

Analyze data and create reports across multiple database systems and cloud services with dbForge Edge. dbForge Edge brings SQL querying, data analysis, visualization, reporting, and automation into one multi-database solution. Use the built-in SQL development tools and AI Assistant to retrieve data, analyze large datasets with pivot tables, inspect related records with Master-Detail Browser, visualize findings in charts, and create clear and compelling data reports.