Asking bigger in Manufacturing with SQreamDB

Mass production of Semi conductors, Automotive, monitors and other sensitive devices is being tracked today by hundreds and thousands of PLC logs and IoT sensors that are collecting data from the production floor. These sensors are generating massive amounts of data which is being used for FTC (fault detection and classification) and creating models to predict production errors before they occur. Data engineers can choose if they want to sample small precent of the data, or run queries on the entire dataset, making it more accurate which leads to increasing yield.

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Fault detection and classification at scale

Consolidate & Ingest

Machine learning

Prepare

scale

Scale

Improve yield and save costs with scalable data stack
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Brochure
November 22, 2022

SQreamDB Datasheet

Ebook
November 23, 2022

Ask Bigger – A Look inside SQreamDB

Case study
December 12, 2022

Electronics giant improves yield from 50% to 90%