Megaladata Server
An analytical server that performs tasks such as loading, calculations, model building, visualization, rights management, and more. Megaladata Server is a key element of the platform, essential for collaborative work.
Server management, configuration, and visualization is performed via Megaladata Studio.
While most platform components interact with Megaladata Server, please note that the Desktop component operates independently and cannot connect to it.
Megaladata Server is designed for deployment within an internal network where many users are expected to work collaboratively from different workstations.
Megaladata Server can be installed on a Linux-family operating system in one of two operating modes:
- Native mode
- Container mode (Docker or Podman)
System requirements
| System Component | Minimum | Recommended |
|---|---|---|
| OS | Linux kernel version 5.3 and higher 1, 2 | |
| CPU | 4 cores 3 | 12 cores 3 (Number of users x 1.6 + 1 core) |
| RAM | 8 GB | 16 GB (Number of users x 2 + 2 GB) |
| Disk Space | 200 GB | From 500 GB (+ User Data) |
| Ping delay | <50 ms | <15 ms |
Note: System requirements vary depending on data volumes and interaction with third-party applications.
1 It is possible to use Linux kernel version 4.11 and higher if there is no need to connect Python.
2 The distribution must include the systemd.so.0 library (for logging to journald) and the following packages: glibc 2.17 and higher, libstdc++6 version 6.1 and higher, and libicu 61 and higher.
3 Operation is supported on x64 processors (Intel Core, AMD FX, and newer) that include SSE4.2 and POPCNT instructions.
Articles in Section: