SNCF is France’s national state-owned railway company and operates a railway network that consists of over 32,000 km worldwide.
“Our challenge is very large volumes of data above several petabytes. We needed a technological solution that allows us to manage the storage of this data in a scalable way. The advantage of Scality in addition to its proximity is its ability to innovate, as well as the quality and robustness of its technology.”
Bruno Landes SNCF
Head of Earthworks and Topography Division
Petabytes of data on Scality RING help keep the trains running for SNCF.
SNCF Réseau’s LiDAR project uses cutting edge data collection technology and techniques, including video capture from train-attached cameras and drones, 3-D images of railways and terrain and data collection from IoT-connected switches and signals. It uses that data to develop simulations and make predictions that keep SNCF’s grid and equipment working for passengers and freight. They chose Scality RING from among the alternatives to store the mission-critical data on HPE storage servers.
Scality is helping keep trains running smoothly because it meets SNCF’s requirements for:
- Quick access to data for users
- Scalability without limits
- Affordability Cloud Storage
- Easy management
- Responsive support
Our challenge was very large volumes of data above several petabytes. SNCF needed a technological solution that allowed them to manage the storage of this data in a scalable way. When they exceed the data volume of several petabytes, they had to switch to object mode.
Scality RING is the foundation of SNCF’s data storage solution. SNCF uses Scality RING for railroad track analysis, including storage of drone images and data. SNCF is anticipating the explosion of data growth with storage needs that grow as they do.
The advantage of Scality, in addition to its proximity, is its ability to innovate; as well as the quality and robustness of its technology. In addition to our responsiveness in terms of support on deployment of the solution for SNCF’s needs in terms of storing 3D data.
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