Access Heidisql 9.4’s standalone, portable version for Windows 32 – and 64-bit devices. A amazing and stream-lined repository planning program with numerous features and methods is the foldable Heidisql 9.4.0.5125.
Evaluation of the foldable Heidisql 9.40.5125
The best tool for managing three Sql data effectively is Portable Heidisql 9.4.0.5125, which has all the necessary features for database administration tools like Crud activities. It offers a incredibly user-friendly layout with choices that are simple to understand. Several repository contacts can easily be managed. It uses very little program methods because it is a pretty light-weight tool. You can use the Gui for all dataset operations, or you can carry them out using the control collection. You only need to enter the hostname, password, and word for it to support both Mysql and Sql Server.
The procedure supervisors assists in dataset security and offers Ssl crypto to stop unauthorized get. Observe all of the database’s’s rows, stocks, and codes, as well as the primary and foreign keys. Additionally, fresh elements, tables, sections, etc. may be created. Additionally, you have access to users permissions, verification, and additional confidentiality configurations.
Moveable Heidisql 9.4.0.5125 features
The majority of Portable Heidisql 9.4’s options are:
- Execute each Crud operation.
- concurrently handle several databases
- Both Mysql and Sql Server are suitable.
- Risk-free association endorse with Ssl
- View and control every database setting.
- Handle marriages in databases
- Control consumer privileges
- datasets for exporting and importing
Details of the transportable Heidisql 9.4.0.5125
Before copying Portable Heidisql, review its professional specifications.
- Windows 10 / 8 / 7 / Vista / Xp compatibility
- 5. 7 Megabyte register measurements
- 128 Mb of ram are needed.
- Computer: A single-core cpu.
- Home page for developers
Costless Windows update of Portable Heidisql 9.4.0.5125
To update Heidisql 9.4.0.5125 for mobile devices, click the link above. It works with both x64-compatible architectures. A strong dataset direction tool is Heidisql.
