dbForge Data Studio for SQL Server is a solution for application developers and data analysts to view,edit, analyze data,and to create data reports efficiently.It's essential for data analysts operating with large amounts of data.
Data Studio enables the following:
*Write and format SQL effortlessly with IntelliSense
*Quickly design queries with no SQL knowledge using query builder
*Edit data on a comfort level that is not accessible with standard tools
*Export data to various formats, quickly convert it to SQL
*Import data to a database from various external sources
*Automatically move data between databases
*Analyze data differences between production and staging databases
*Design data reports and automate report delivery
Key Features:
SQL IntelliSense and formatting
IntelliSense serves for completing symbol names during typing.It speeds up code typing process by reducing the amount of database object names to memorize and code itself to input.
Visual query builder for SQL Server
Flexible tool for visual designing any queries you need.You can easily build statements with multiple tables, joins, conditions, and subqueries without manual typing of code.
Advanced data editor for SQL Server
It allows user to apply quick custom filtering, sorting, grouping, copying to spreadsheet, printing of data, exporting data to 10 widely-used data formats and much more.
Data export from SQL Server
Data Export Wizard allows user to export data into 10 widely-used data formats: HTML, ext, icrosoft Excel, Microsoft Access, RTF, PDF, XML, CSV, DBF, ODBC.
Data import to SQL Server database
Data Import Wizard allows user to import data into tables from 8 widely used data formats: Text, Microsoft Excel, Microsoft Excel 2007, Microsoft Access, XML, CSV, DBF, ODBC.
Data comparison and synchronization tool
User can compare data between different databases with many useful features and Data Synchronization wizard enables them to synchronize compared data.
Tags: server, tool, server tool, data management, tool data analysts, tool server, data analysis, server data analysis, server data analyst, data exploring, server data comparison
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