Update Heidisql 9.4’s standalone, modular version for Windows 32 – and 64-bit devices. A powerful and lighter database planning mechanism with lots of benefits and options is the modular Heidisql 9.4.0.5125.
Analyze of the portable Heidisql 9.40.5125
The best tool for managing multiple Rdbms datasets effectively is Portable Heidisql 9.4.0.5125, which has all the necessary features for registry administration capabilities like Crud activities. It offers a pretty user-friendly layout with options that are simple to understand. Various database relations are easily manageable. It uses incredibly little procedure methods because it is a exceedingly light tool. For all repository procedures, you can either use the Gui or the prompt line. You only need to enter the hostname, account, and word for it to support both Mysql and Sql Server.
The program coach assists in database security and offers Ssl encryption to stop unauthorised get. View the entire dataset, including the columns, stocks, and primary and foreign keys. Original variables, chairs, rows, etc. can also be created. Additionally, you can use authentication, individual protections, and many stability settings.
Moveable Heidisql 9.4.0.5125 options
The majority of Portable Heidisql 9.4’s aspects are:
- carry out each Crud operation.
- concurrently manage three directories
- Mysql and Sql Server compatibility
- Risk-free link endorse with Ssl
- Sight and control every registry setting.
- control registry connections
- control user permissions
- datasets for exporting and importing
Information of the foldable Heidisql 9.4.0.5125
Before downloading Portable Heidisql, review its specialized specifications.
- Windows 10 / 8 / 7 / Vista / Xp compatibility
- 5. 7 Mb document size
- 128 Mb of ram is needed.
- a single-core chipset
- Home page for developers
Windows users can download Portable Heidisql 9.4.0.5125 for costless.
To get Heidisql 9.4.0.5125 for mobile devices, click the link here. It works with both x64-compatible layout. A potent database planning device is Heidisql.