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dbForge Search for SQL Server

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What is dbForge Search for SQL Server

dbForge Search for SQL Server is a Windows utility for searching text across Microsoft SQL Server database objects and data. It is used by database developers and administrators to locate occurrences of strings in object definitions (such as stored procedures, views, and functions) and, depending on configuration, within table data. The product focuses on fast, scoped search with filtering by object types and schemas, and it integrates with the dbForge tooling ecosystem for SQL Server.

pros

Broad SQL object coverage

The tool searches across common SQL Server object definitions, including stored procedures, functions, views, triggers, and other programmable objects. This supports impact analysis when changing column names, business logic, or referenced identifiers. It reduces manual scripting compared with ad-hoc queries against system catalogs.

Scoped and filterable searches

Search can be constrained by database, schema, and object type to narrow results. This helps teams working in large databases avoid noise and focus on relevant areas. Filtering makes it practical for day-to-day refactoring and troubleshooting tasks.

Fits SQL Server workflows

It is purpose-built for Microsoft SQL Server environments rather than being a general-purpose database platform. This aligns with teams that already standardize on SQL Server and related tooling. It can complement other SQL Server development utilities by providing a dedicated search function.

cons

Not a database platform

Despite being listed alongside database products, it does not provide a relational database engine or managed database service. It is a client-side search utility that depends on an existing SQL Server instance. Organizations looking for hosting, scaling, replication, or HA features need separate database infrastructure.

SQL Server only

The product is designed specifically for Microsoft SQL Server and does not target heterogeneous database estates. Teams using multiple database types may need separate tools for each platform. This can increase tooling fragmentation in mixed environments.

Data search can be constrained

Searching within table data can be more resource-intensive than searching object definitions and may require careful scoping to avoid performance impact. Results depend on permissions and connectivity to the target SQL Server. For very large datasets, dedicated indexing/search approaches may be more appropriate than ad-hoc scanning.

Plan & Pricing

Plan Price Key features & notes
Free $0 (free add-in) SSMS add-in; find SQL objects, table data, and SQL fragments; wildcard and multi-database search; available free of charge from Devart (integrates into SSMS).

Seller details

Devart
Prague, Czech Republic
1997
Private
https://www.devart.com/
https://x.com/devart
https://www.linkedin.com/company/devart/

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