The I have explained above, make sure you use the correct syntax for the platform you are using.

userdir: –port: –imageserverport: -webserverport: –credentials:/ Windows: datacrow-server.exe (or the above, either will work).You can change this to another number if necessary. The –Xmx1024m parameter specifies the amount of memory available to Data Crow. None Windows: Java –Xmx1024m –jar datacrow-server.jar.In the below example I will show for the Data Crow start command Open the terminal (Linux and Mac users) / command prompt (Windows users) and navigate to the Data Crow Server installation folder. The server has no graphical user interface (GUI) which means it relies fully on the command line. This opposed to the web client, which does not have all features the thick client has. Tip: use the thick client to set up the initial user folder – use the client to create users, change the system settings and basically to configure Data Crow to fit your needs. You can choose to have the server edition set up a new empty user folder, or, you can choose to use an existing user folder. Just as the normal client does need a user folder where it stores the data and settings, the server does so too. It does require Java version 17 or higher though. That’s it – it does not require any further installation.

Unzip the zipped Data Crow Server distribution to the installation location.

The server edition is headless, meaning it can run in environments where there is no graphical interface.

The user management function allows you to set granular user permissions per user, right down to field level. The server allows multiple users, using either of these clients (thick / web) to connect to the server, at the same time. This means that users can connect to Data Crow using the thick-client (the Data Crow application) and / or the web client (the browser). The server edition is an advanced server, a combined web and application server. This allows for clients to connect to a single instance of Data Crow. Since Data Crow 4.0 it is possible to run Data Crow as a server.

Datacrow client from different computer