EMS Data Pump for SQL Server 2.1.0.5

Unknown Publisher – Shareware

EMS Data Pump for SQL Server is a software tool developed by an unknown publisher. It allows for efficient data transfer or migration between databases, while minimizing the risk of data loss during the process. The tool supports a wide range of data formats and synchronizes data in real-time. Users can easily configure the settings to transfer only the necessary data, reducing the workload on servers and improving system performance. Additionally, the software provides a user-friendly interface and supports command-line operation for advanced users. All in all, EMS Data Pump for SQL Server is a reliable solution for database administrators who need to transfer or migrate data between databases with minimal hassle and risk.

Overview

EMS Data Pump for SQL Server is a Shareware software in the category Miscellaneous developed by Unknown Publisher.

The latest version of EMS Data Pump for SQL Server is 2.1.0.5, released on 02/18/2008. It was initially added to our database on 11/03/2007.

EMS Data Pump for SQL Server runs on the following operating systems: Windows.

EMS Data Pump for SQL Server has not been rated by our users yet.

Pros

User-friendly interface simplifies data migration process
Supports various SQL Server versions and platforms
Provides advanced customization options for data exports and imports
Includes comprehensive documentation and support resources
Offers scheduled data transfer capabilities for automation
Ensures data integrity during migration with validation options

Cons

May have a steep learning curve for advanced features
Limited functionality in the trial version
Performance can degrade with very large datasets
Potential compatibility issues with certain SQL Server configurations
Support response times may vary based on user reports

FAQ

What is EMS Data Pump for SQL Server?

EMS Data Pump for SQL Server is a powerful tool that enables users to convert and import data from various sources into Microsoft SQL Server database.

What are the key features of EMS Data Pump for SQL Server?

Some key features of EMS Data Pump for SQL Server include data import from various formats, customizable data import templates, support for batch processing, and options for data filtering and mapping.

Which database formats are supported by EMS Data Pump for SQL Server?

EMS Data Pump for SQL Server supports data import from CSV, TXT, DBF, XML, Excel, Access, and other database formats.

Can I schedule data import tasks with EMS Data Pump for SQL Server?

Yes, EMS Data Pump for SQL Server provides scheduling capabilities that allow users to automate data import tasks at specified intervals.

Does EMS Data Pump for SQL Server support selective data import?

Yes, the tool provides options for data filtering and mapping, allowing users to select specific tables or columns for data import.

Can I customize the data import process using templates?

Yes, EMS Data Pump for SQL Server allows users to create and use customizable data import templates, which can streamline the import process and ensure consistency.

Is it possible to perform parallel data import with EMS Data Pump for SQL Server?

Yes, the tool supports parallel data import, which can significantly speed up the overall import process when working with large datasets.

What are the system requirements for EMS Data Pump for SQL Server?

The specific system requirements may vary depending on the version of EMS Data Pump for SQL Server, but generally, it is compatible with Windows operating systems and requires Microsoft SQL Server installed.

Is technical support available for EMS Data Pump for SQL Server?

Yes, technical support is provided by Unknown Publisher, and users can contact them for assistance with any queries or issues related to EMS Data Pump for SQL Server.

Does EMS Data Pump for SQL Server offer a trial version?

Information regarding a trial version can be found on the Unknown Publisher's official website. It is advisable to check their website for the most up-to-date information.

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