DbVisualizer
DbVisualizer is a universal database client for developers, DBAs, analysts, and data engineers working with relational and NoSQL databases. It provides a graphical interface for database development, SQL querying, data exploration, and database admin.
The tool includes a powerful SQL editor with intelligent autocomplete, visual query builders, variables, and query execution tools. Customize window layouts, key bindings, and UI themes, mark scripts or database objects as favorites, and configure security settings to meet organizational requirements. Ask questions, explain errors, and analyze code with the built-in AI Assistant. Use the built-in Git integration to manage your SQL scripts and collaboration.
DbVisualizer connects to many popular databases through JDBC drivers, including MySQL, PostgreSQL, SQL Server, Oracle, Snowflake, SQLite, Cassandra, and BigQuery. It runs on Windows, macOS, and Linux.
Nearly 7 million downloads and Pro users in 150 countries.
Learn more
AnalyticsCreator
AnalyticsCreator is a metadata-driven data warehouse automation application for teams working in the Microsoft data ecosystem. It enables data engineers to design, generate, and maintain production-ready data products across Microsoft SQL Server, Azure Data Factory, and Microsoft Fabric.
By using centralized metadata, AnalyticsCreator generates ELT pipelines, dimensional models, historization logic, and analytical models in a consistent, version-controlled way. This reduces manual implementation effort and tool sprawl while ensuring transparency through built-in lineage tracking and clear visibility into data dependencies and change impact.
With CI/CD integration via Azure DevOps and GitHub, plus support for custom SQL, AnalyticsCreator helps data teams scale delivery, enforce standards, and maintain control as complexity grows.
Learn more
ER/Studio Data Architect
ER/Studio Data Architect is a powerful data modeling solution that helps organizations design, document, and optimize data structures across modern platforms. It enables architects and database professionals to build conceptual, logical, and physical data models that connect business definitions with technical implementation, ensuring consistent meaning and reliable analytics.
The platform supports forward and reverse engineering, allowing teams to generate databases from models or reverse engineer existing systems for documentation and improvement. Schema compare and merge tools simplify change management, while visual diagrams make complex data structures easier to understand.
ER/Studio supports platforms including SQL Server, Oracle, PostgreSQL, Snowflake, Databricks, and JSON architectures. Automation tools, impact analysis, and the AI-powered ERbert modeling assistant help accelerate model creation while maintaining structured, scalable data architecture.
Learn more
