Real-Time Data Storage

In many industrial fields, Big Data has become increasingly important. Numerous applications already benefit from the every growing data quantities and some are made possible to begin with through them. Especially in fields such as measurement and test technologies, these data can be utilized effectively in order to generate high-precision results and evaluations.

Besides the capturing of data, such as from industrial cameras, storage is a crucial element for their efficent use. For this, data sets not only require to be written on storage mediums without loss at high throughput rates, they often also need to be fetched at the same speed. Built on the Storage Module this field of development at Kithara focuses specifically on the storaging of data in real time in order to ensure their profitable implementation into demanding projects.


Real-time data storage with the modular system of Kithara RealTime Suite consists of the following components::

Storage Module

Real-time data storage via solid-state drives

  • Common
  • Features
  • Supported Hardware

The Storage Module introduces real-time data storage via SSD with the most recent capacities. This way, via the NVMe interface, big amounts of data can be written and read with a read-write speed of more than 2 Gbyte/s. UDF is provided as data system, which also allows for packet writing.

  • Real-time data storage via NVMe SSD with the most recent capacities
  • High-speed reading and writing with over 2 Gbyte/s
  • UDF data system

In connection with the Storage Module, all storage devices, which are compatible to the NVMe-specification 1.0  can be used on request. Tested devices:

  • Intel Solid-State Drive P3700/P3600/P3520/750 Series
  • Intel Solid-State Drive DC P3520 Series
  • Intel Solid-State Drive 600p Series
  • Samsung 950 SSD
  • HGST Ultrastar SN200 Series
  • VirtualBox Solid State Disk

PCAPng Module

Real-time data storage in PCAPng format

  • Common
  • Features
  • Supported Hardware

The PCAPng Module allows for real-time data storage of complex hierarchically structured measurement data in PCAPng format. PCAP Next Generation (PCAPng) is a Wireshark-supported data format for capturing data packets within networks. This way, Wireshark is used for the later analysis of stored measurement data.

  • Real-time data storage in PCAPng format
  • Wireshark used for reading stored data sets such as measurement data or even image data
  • Based on Storage Module

MDF Module

Real-time data storage in MDF

  • Common
  • Features
  • Supported Hardware

The MDF Module allows for real-time data storage of complex hierarchically structured measurement data in Measurement Data Format. MDF 4.1 is a binary file format provided by ASAM for the evaluation or long-term storage of recorded and calculated data sets. The file size depends solely on the used hardware (meaning up to terrabyte range).