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Life & fun · July 15, 2022

Marple

Hi HN! I’m Nero from Marple, and we build time series tooling for Aerospace & Automotive. In 2020, we launched our first product: a sort of Grafana on steroids designed for high performance analysis. After integrating with a lot of different TS databases, we kept running into their design limits when trying to deliver the best performance & UX to our users. That’s why we are launching Marple DB today (https://www.marpledata.com/marple-db). Marple DB transforms measurements files (CSV, MAT, HDF5, TDMS, …) into a queryable lakehouse. We designed for extreme ingestion…

Marple launched on July 15, 2022 with 86 votes, #382 of 2,916 launches that month and more than 75% of that year's launches. The site was still online in September 2026, 4 years on.

In plain words

Marple is an interactive time series visualization tool designed for engineers to organize and analyze sensor data without coding. It handles measurement files from experiments and tests, supporting high-frequency logging from multiple sensors simultaneously with millions of data points. The web-based platform provides responsive visualization to make sense of large datasets that would otherwise require manual coding in Python, Matlab, or Jupyter notebooks.

written from the facts on this page · September 2026

From the sources

Manage and visualize test- and measurement data in the Cloud. Create a free account, drag & drop your data files (.csv,ulog,.) and visualize many different signals all at once!

Marple DB is a high-performance solution for storing and querying large amounts of time series data. Built on PostgreSQL, it enables efficient data ingestion, analysis, and integration with Marple Insight.

Visit our booth at the Professional Motorsport Expo (PMW) expo in Cologne (12-13 nov)! Click to discover our motorsport package Marple 2.0 is out now! Rewatch the Marple Autumn Summit to discover the new Marple DB and Marple Insight. Marple DB 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 DB has built-in plugins for most popular file types such as MDF/MF4, CSV, MAT and many more . That's not enough? 100% customise your own plugin. Unify data from different sources to enable AI and Data Mining use…from marpledata.com

In the maker’s words, at launch

Hi HN! I’m Nero from Marple, and we build time series tooling for Aerospace & Automotive. In 2020, we launched our first product: a sort of Grafana on steroids designed for high performance analysis. After integrating with a lot of different TS databases, we kept running into their design limits when trying to…

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