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dbForge Studio for PostgreSQL + AI Assistant: Features and Use Cases

PostgreSQL database development involves much more than writing and executing queries. Developers build applications, DBAs maintain database performance and reliability, analysts turn raw data into insights, and DevOps teams automate database delivery through CI/CD pipelines. In this video, you will see how dbForge Studio for PostgreSQL brings database development, management, data analysis, reporting, and automation into a single AI-powered PostgreSQL IDE.

Will AI agents replace database IDEs? The future of database development

AI is already good at writing SQL, which is why people keep asking whether AI agents will replace database IDEs. But letting an agent work on a production database is still a much bigger leap. In tests reported by BIRD, a text-to-SQL benchmark built from 95 real databases across 37 professional domains, human experts reached 92.96% execution accuracy. The best single-model entry reached 80.04% in June 2026. The model failed roughly one task in five; the humans, about one in fourteen.

13 best practices for database development in Visual Studio 2026

Database development rarely breaks all at once. It happens through small changes that seem harmless at the time. Someone adds a column directly to the shared database. A stored procedure gets fixed in production but not in the project. An index is created in staging and never added anywhere else. Everything looks fine until the next release. Then the differences start showing up, and nobody is quite sure which version of the schema is correct.

SSIS Data Flow Components Update Brings Expanded API and Data Source Support

The latest release of Devart SSIS Data Flow Components expands support for cloud applications and databases with new objects and fields, updated API and metadata support, and improved authentication and data access capabilities across multiple connectors.

Devart Excel Add-ins Extend Connectivity With New API, Security, and Data Support

We are thrilled to announce an update to our Excel Add-ins, bringing expanded support for popular cloud services and databases. The release introduces new objects, fields, API capabilities, and authentication options for BigCommerce, FreshBooks, HubSpot, NetSuite, QuickBooks Online, Zoho CRM, Oracle, MySQL, and PostgreSQL.

dbForge Studio for SQL Server: AI-Powered IDE for the Full Database Lifecycle

SQL Server development involves much more than writing and executing queries. There are other core aspects such as database design, debugging, data management, performance analysis, administration, deployment, and workflow automation. In this video, you will see how dbForge Studio for SQL Server lets you manage the entire database lifecycle from a single AI-powered SQL Server IDE. Instead of switching between separate tools for SQL coding, database design, test data generation, comparison, reporting, and administration, you can use one application for everything.

MySQL Query Optimization With dbForge Query Profiler

Learn how to optimize SQL queries in MySQL with Query Profiler in dbForge Studio for MySQL. This video shows how to monitor query execution plans , track resource consumption, identify performance bottlenecks , and validate query optimization results. Query Profiler helps developers, DBAs, and database engineers analyze query execution, find slow operations , review session statistics, compare profiling results, and improve MySQL database performance .

PostgreSQL 19 Release: New Features, Release Date, and Upgrade Notes

With PostgreSQL 19 on the horizon, query planning could get smarter thanks to new query tools and faster maintenance. The release is still a few months away, but Beta 1 already shows where PostgreSQL is headed. Released on June 4, 2026, PostgreSQL 19 Beta 1 previews most of what’s planned for the final release.

SSIS Data Flow Components 5.0: New Features, API Updates, and Expanded Platform Support

We are thrilled to announce the release of SSIS Data Flow Components version 5.0. This release includes updates across database connectors, cloud services, and APIs. It adds new objects, improves data type support, introduces new authentication options, and expands API coverage for more than 20 platforms.