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Marple is a high-performance data lakehouse designed for processing and standardising time series data from measurement files. Built on top of Parquet and PostgreSQL, it is designed to handle extreme data sizes and measurement frequencies.
Marple B2B Case Studies & Customer Successes
Case Studies
Showing 11 Marple Customer Success Stories
How AeroDelft accelerates liquid hydrogen flight testing with data-driven validation
AeroDelft
Streamlining Power Converter Support and Development with Marple at BrightLoop
BrightLoop
Pierre Bouchet
Principal Engineer
How DeepDrive uses Marple to turn high frequency test data into engineering breakthroughs
DeepDrive
Michael Prommersberger
Software Engineer
How FS Team Delft uses Marple to find the optimal setup for their EV 4WD race car
FS Team Delft
How Hardt Hyperloop Accelerates Innovation with Marple
Hardt Hyperloop
Gert Spek
Lead Engineer
How Innoptus Solar Team managed to win the World Championship by using Marple
Innoptus Solar Team
How Lilium increased their flight test effectiveness with 35% by switching to Marple
Lilium
How Regent Aircraft uses both Marple and InfluxDB during the R&D of their 100% electric-powered aircraft
Regent
Analysing Antarctica’s climate conditions and predicting energy usage with Marple
Team Polar
Destroying world records with the TUG Racing team and Marple
TUG Racing
Max Ritzer
Data Acquisition Module
From flight to insight in no-time, how Vertical Aerospace accelerates test cycles with Marple
Vertical Aerospace
Gregor Hannappel
Senior Data Engineer
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