Server system requirements

Hardware / virtual machine 
 The hardware requirements for Squeeze depend heavily on the intended use. The number of documents to be processed daily, the amount of data stored before final resolution, and any customer customisations all influence the hardware requirements. 
 The following applies in principle: - The amount of documents that can be processed simultaneously depends on how many workers are deployed. - One CPU core and 2 GB of RAM should be reserved for each worker. 
 The usage of Squeeze with inadequate hardware (especially CPU and RAM) can cause performance issues. 
 
 
 
   
 Minimum 
 Recommended 
 
 
 
 
 Operating system 
 Linux/Windows 
 Linux/Windows 
 
 
 CPU clock speed 
 2.2 GHz 
 3.0 GHz 
 
 
 CPU cores 
 6 cores 
 8 cores 
 
 
 RAM 
 8 GB 
 16 GB 
 
 
 Hard drive 
 HDD 7200 rpm 
 SSD 
 
 
 Storage 
 200 GB 
 500 GB 
 
 
 Network 
 100 Mbit 
 1000 Mbit 
 
 
 
 Operating systems 
 Windows 
 
 
 
 OS 
 Version 
 Note 
 
 
 
 
 Windows 
 7 
 Fully supported 
 
 
 Windows 
 10 
 Fully supported 
 
 
 Windows 
 11 
 Fully supported 
 
 
 Windows 
 Server 2008 R2 
 Fully supported 
 
 
 Windows 
 Server 2012 
 Fully supported 
 
 
 Windows 
 Server 2012 R2 
 Fully supported 
 
 
 Windows 
 Server 2016 
 Fully supported 
 
 
 Windows 
 Server 2019 
 Fully supported 
 
 
 Windows 
 Server 2022 
 Fully supported 
 
 
 Windows 
 Server 2025 
 
 Fully supported 
 
 
 
 
 Linux 
 
 
 
 OS 
 Version 
 Note 
 
 
 
 
 Ubuntu 
 14.04 
   
 
 
 Ubuntu 
 16.04 
 Fully supported 
 
 
 Ubuntu 
 18.04 
 Fully supported 
 
 
 Ubuntu 
 20.04 
 Fully supported 
 
 
 Ubuntu 
 22.04 
 Fully supported 
 
 
 Debian 
 8 
   
 
 
 Debian 
 9 
 Fully supported 
 
 
 Debian 
 10 
 Fully supported 
 
 
 Debian 
 11 
 Fully supported 
 
 
 Debian 
 12 
 Fully supported 
 
 
 
 We recommend using Docker. For this purpose, we can provied images and configurations on request if you wish to use them for on-premise installations. 
 Database systems 
 Squeeze is primarily used and tested on the basis of MariaDB. Microsoft SQL Server is also supported and tested using the same test automation as MariaDB and MySQL, but we recommend using MariaDB due to the higher operating costs. 
 
 
 
 Manufacturer 
 Version 
 
 
 
 
 Microsoft 
 SQL Server 2012 
 
 
 Microsoft 
 SQL Server 2014 
 
 
 Microsoft 
 SQL Server 2016 
 
 
 Microsoft 
 SQL Server 2019 
 
 
 Microsoft 
 SQL Server 2022 
 
 
 MySQL 
 5.5 - 5.7 
 
 
 MariaDB 
 5.5.7 
 
 
 MariaDB 
 10.0 - 10.11 
 
 
 
 Network 
 Incoming network traffic 
 
 
 
 Port 
 Description 
 
 
 
 
 80 
 HTML frontend and API 
 
 
 443 
 HTML frontend and API (with SSL) 
 
 
 
 Outgoing network traffic 
 
 
 
 Port 
 Description 
 
 
 
 
 25 
 SMTP for outgoing E-mails 
 
 
 587 
 SMTP for outgoing E-mails (with encryption) 
 
 
 143 
 IMAP for incoming E-mails 
 
 
 993 
 IMAP for incoming E-mails (with encryption) 
 
 
 443 
 EWS for incoming E-mails (with encryption) 
 
 
 33?? 
 SAP RFC connection (?? = SAP instance number) 
 
 
 
 Runtimes 
 Squeeze and its components require several libraries and applications to be installed. If you use the Windows installer, all necessary applications and libraries are already included in the setup and will be installed and configured during installation. The installer has been designed to install an out-of-the-box system that is ready for immediate use. 
 The applications and libraries are divided into direct and indirect dependencies. One example is the message queue system (RabbitMQ). 
 In more complex environments, it may be necessary to distribute these components across different systems. In this case, you will need to take care of the provisioning of the applications yourself. 
 Direct dependencies 
 
 
 
 Runtime 
 Version 
 Used by 
 
 
 
 
 PHP 
 7.4.x 
 Squeeze Server, Worker 
 
 
 PHP 
 8.1.x 
 Squeeze Server, Worker 
 
 
 Java 
 8 
 Squeeze Server, Worker 
 
 
 
 Indirect dependencies 
 
 
 
 Runtime 
 Version 
 Used by 
 
 
 
 
 Erlang 
 10.5 
 RabbitMQ 
 
 
 Erlang 
 25.3 
 RabbitMQ 
 
 
 Java 
 Depending on the Elasticsearch version 
 Elasticsearch