---
title: Data Crow Server
description: Since Data Crow 4.0 it is possible to run Data Crow as a server. This allows for clients to connect to a single instance of Data Crow. The server edition is an advanced server, a combined web and application server.…
url: "https://datacrow.org/docs/data-crow-server/"
updated: "2026-06-10"
category: Guides
---

# Data Crow Server

Since Data Crow 4.0 it is possible to run Data Crow as a server. This allows for clients to connect to a single instance of Data Crow.

The server edition is an advanced server, a combined web and application server. 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 allows multiple users, using either of these clients (thick / web) to connect to the server, at the same time. The user management function allows you to set granular user permissions per user, right down to field level.

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

The server has several roles, it’s:

- an application server, allowing thick client to connect securely.
- a web server, allowing browsers to connect.
- an API server, allowing other services, external to Data Crow to connect and retrieve information (with your permission only). The web version uses the API as well as the Data Crow Reader App.

## **Installing the Server**

To install the server:

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

That’s it – it does not require any further installation. It does require Java version 17 or higher though.

## **Setting up the Server**

Just as the normal client does need a user folder where it stores the data and settings, the server does so too. 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.

**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. This opposed to the web client, which does not have all features the thick client has.

## **Running the Server**

The server has no graphical user interface (GUI) which means it relies fully on the command line. Open the terminal (Linux and Mac users) / command prompt (Windows users) and navigate to the Data Crow Server installation folder.

In the below example I will show **<command>** for the Data Crow start command;

- None Windows: Java –Xmx1024m –jar datacrow-server.jar
  *The –Xmx1024m parameter specifies the amount of memory available to Data Crow. You can change this to another number if necessary.*
- Windows: datacrow-server.exe (or the above, either will work)

Now we are ready to start the server.

> **<command>** -userdir:<user folder> –port:<portnumber> –imageserverport:<portnumber> -webserverport:<portnumber> –credentials:<username>/<password>

Explanation:

- The **<command>** I have explained above, make sure you use the correct syntax for the platform you are using.
- **userdir:** specifies the user folder location.
  *Example* (Windows): -userdir:c:/server-data
- **port:** specifies the main port number for the application server. The default port is 9000. If you do not supply the port parameter, port 9000 will be used.
  *Example*: -port:9000
  When the server has been started, clients connect by starting the Data Crow Client in client mode (-client parameter).
- **imageserverport:** specifies the port to use for the HTTP image server. The default is port 8081. If you do not supply the port parameter, port 8081will be used.
  *Example*: – imageserverport:8081
- **webserverport:** specifies the port to use for the web server. If not supplied, the web server module will not be started.
  *Example*: – webserverport:8080
  When started, clients connect to the server as follows:
  https://<server address>:<webserverport>/datacrow
  Example: https://192.168.178.12:8080/datacrow.
- **credentials:**username and password for the administrator. This is a required parameter for security reasons. The default user for Data Crow is SA with a blank password. It is recommended to set a password for each user when using the client-server setup.
  *Example #1 (user rwaals, pw 123456):*-credentials:rwaals/123456
  *Example #2 (default user):* -credentials:SA

A tip on the credentials; you can also supply these within the datacrow.credentials file. When this file is present in the installation folder of the Data Crow server Data Crow will read the credentials from this file and they don’t have to be supplied anymore as a parameter. The file does not exist by default; create the file (a plain text file) and enter the credentials within this file: <username>/<password>.
For example: rwaals/123456

Other, optional parameters:

- **bindto:** overrules tehe default way Data Crow server binds itself to your IP address. This is only necessary in unforeseen circumstances where Data Crow is not picking up the correct IP address to bind itself to.
- **hostname:** the name of the server. Useful if you don’t want to use the IP address as the go to address.
- **api_address_overrule:** this is used to overrule the way Data Crow automatically sets the address for the API server. Using this option you can map the API address to another local port that is used by Caddyfile for example (reversed proxy).
- **imageserver_address_overrule:** this is used to overrule the way Data Crow automatically sets the address for the image server. Using this option you can map the image server address to another local port that is used by Caddyfile for example (reversed proxy).
- **dir:** indicate the Data Crow Server installation directory (in case of issues).
- **debug:** allow Data Crow Server to log extensively.

## **Checking the Server**

If all is well the Server will reporting something similar to below:

> INFO \[main\] (DcServer.java\\:140) – Server has been started, ready for client connections.
>
>
>
> INFO \[main\] (DcServer.java\\:141) – Client can connect to IP address 192.168.0.121 on port 9000 and on image port 9001
>
>
>
> INFO \[main\] (DcServer.java\\:144) – Listening for CTRL-C for server shutdown.

It specifies the actual IP address as well as the assigned port numbers.
Errors will be displayed directly in the console. Additionally there is the default log file, located in the user folder (data_crow.log).
If you want to debug the server (or see more messages) you can supply –debug parameter on startup.

## **Stopping the Server**

Press CTRL-C in terminal / command prompt window.

## **Connecting to Data Crow: (Thin) Web Client**

Connecting to the web server is the easiest option. Navigate, using a web browser, to the server address, like so:

http://<server address>:<web server port>/

For example: https://192.168.178.120:8080/

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)

## **Connecting to Data Crow: (Thick) Client**

Any installation above 4.0 can connect to a server. It’s a simple matter of supplying the –client command to your Data Crow startup:

In the below example I will show the <**command**> for the Data Crow client start command;

- For Windows users substitute this with:
  datacrow.exe
- For other platforms use:
  Java –Xmx8096m –jar datacrow.jar
  *The –*Xmx8096m *parameter specifies the amount of memory available to Data Crow. You can change this to another number if necessary.*

Connect to server by starting Data Crow as follows (amend the shortcut):

> <command> -client

When the client starts the following login dialog is shown:

![](data:image/png;base64,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)

- **Login name**: your username (the default user is SA)
- **Password**: your password (the password for user SA is blank)
- **Server Address**: the IP address of the Server (see the Server console for the IP address, for example within an internal network the IP could be 192.168.0.10).
- **Application Server Port**: the port as configured on the server (default is 9000). This setting is remembered.
- **Image Server Address**: the address of the image server, typically the same address as the server itself.
- **Image Server Port**: the port as configured on the server (default is 9001). This setting is remembered.

## Web Server with SSL Security

If you want access to your Data Crow collection while on the go, hosting the Data Crow server on a VPS (Virtual Private Server) is a practical and affordable option. A small VPS running Ubuntu with 2 GB of RAM and 100 GB of storage is more than sufficient, and such instances are widely available at low monthly cost.

### **Setting up the server**

Start with a headless Ubuntu VPS — no GUI is needed. Install Java (OpenJDK 21 or higher is recommended), then upload the Data Crow server files and your data directory to the VPS using SCP. Connect via SSH, unpack the archives, and arrange them as follows:

~/datacrow_server
~/datacrow_server/data

Start Data Crow with:

java -jar datacrow-server.jar -userdir:./data -hostname:<IP address> -webserverport:8080 -port:9000 -imageserverport:8082 -apiserverport:8081

To keep the server running after you log off, use **tmux**: start a tmux session, run the startup command, then detach with `Ctrl+B` followed by `D`. The server will continue running in the background.

At this point, Data Crow is accessible at an address such as `http://<your-ip>:8080` — functional, but unsecured.

### Adding HTTPS with Caddy

To serve Data Crow over HTTPS, you can use **Caddy** as a reverse proxy. Caddy automatically handles SSL certificate provisioning.

**Step 1 — Add a DNS record**

Add an `A record` to your domain’s DNS configuration pointing to the IP address of your VPS. For example, adding a record named `my` to `datacrow.org` gives you `my.datacrow.org`.

**Step 2 — Install Caddy**

sudo apt update && sudo apt install -y debian-keyring debian-archive-keyring apt-transport-https curl

curl -1sLf ‘https://dl.cloudsmith.io/public/caddy/stable/gpg.key’ | sudo gpg –dearmor -o /usr/share/keyrings/caddy-stable-archive-keyring.gpg

curl -1sLf ‘https://dl.cloudsmith.io/public/caddy/stable/debian.deb.txt’ | sudo tee /etc/apt/sources.list.d/caddy-stable.list

sudo apt update && sudo apt install caddy

**Step 3 — Configure the Caddyfile**

my.datacrow.org {
reverse_proxy localhost:8080
}

my.datacrow.org:8083 {
reverse_proxy localhost:8081
}

my.datacrow.org:8084 {
reverse_proxy localhost:8082
}

This maps the web interface, API server, and image server respectively through Caddy.

**Step 4 — Start Data Crow with address overrides**

Because the API and image server are now being served through Caddy on different external ports, Data Crow needs to be told about the public-facing addresses. Add the following parameters to your startup command:

```
-apiserverport:8081
-api_address_overrule:https://my.datacrow.org:8083/datacrow-api/api
-imageserverport:8082
-imageserver_address_overrule:https://my.datacrow.org:8084
```

Caddy transparently translates incoming requests on ports 8083 and 8084 to the internal ports 8081 and 8082. The result is a clean, HTTPS-secured address for your Data Crow instance.