Marple for Motorsport
Collaborative, server-based software for the future. Combine data from files (MDF/MF4, CSV, ...) and telemetry using Marple DB and Marple Insight.
Software for the future
Centralised data storage (server-based)- Collaborative access from anywhere
- Python & MATLAB SDKs for AI and data mining workflows
- Automated reporting and instantaneous dashboards
Convert Files to a Data Lakehouse
Files as the source
The origin of telemetry data is often file based. MarpleDB is built around file based data.
Plug & Play Plugins
Marple DB has built-in plugins for most popular file types such as MDF/MF4, CSV, MAT and many more.
Telemetry support
Combine on-car and telemetry data by using our realtime datastreams.
Automatic ingestion
Automate data importing using our SDKs, reducing manual effort and boosting productivity.
Lap Based Analysis & Data Mining
Auto-generate laptimes
Generate laptimes from a time series lap counter in your raw data.
Lap-based metrics
Calculate aggregate metrics for each lap and colour them based on conditional formatting.
Overlay laps to compare
Quickly select multiple laps to compare behaviour between drivers, setups and different points in time.
Data Mining
Crunch data across thousands of laps and hundreds of datasets to reveal patterns.
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Distance & Track Based Analysis
Analyse in distance mode
Use distance signals as a reference for visualisations and comparison between laps.
Monitor performance
Get a global overview by using the Overview Dashboard, which instantly shows graphs across all datasets.
Upload track maps
Go in depth by adding track maps to your projects as an overlay for the GPS-based map plot.
Calculate custom metrics
Enrich datasets with custom performance metrics by using built-in SQL or our Python and MATLAB SDKs.
Breaking World Records using Marple
Discover how the Graz Racing Team is delivering exceptional performance by using server-based workflows with Marple DB and Marple Insight.
Explore all Marple Features
Optimized for Time Series Data
Marple DB is purpose-built for high-frequency telemetry data, handling measurements from 1Hz to 10kHz or more. Optimized for hundreds or thousands of sensors, it ensures fast, ad-hoc querying through a PostgreSQL layer enhanced with clever data segmentation for seamless scalability.
Convert Data Files to Database
Effortlessly transform time series data from files into a performant database structure with Marple DB. Retain file metadata within the database, use standard plugins for common data flows, or fully customize the setup to match your unique needs.
Integrates Well with Marple Insight
Marple DB connects seamlessly with Marple Insight for effortless data exploration. Its data structure is designed for optimized querying, ensuring smooth workflows. While tailored for Marple Insight, it also integrates easily with other tools in your stack.
Setup Data Streams
Marple DB supports 10 standard plugins for popular file types and enables you to create or modify plugins to suit your needs. Customize and configure data flows for various file types, ensuring smooth integration with your telemetry data sources.
Marple helped us make quick data-driven decisions on complex setup parameters and heavily reduced downtime during testing.
Max Ritzer
Marple simplifies collaboration between engineers. Also, thanks to being a central storage for measurement data, DeepDrive got rid of different locations to store data
Christopher Roemmelmayer
Marple is without doubt the champion in engineering data visualisation. It’s fast, easy to use and focuses on the features I need. Their customer support is super responsive.
Wouter Plaetinck
Deploying Marple into our infrastructure was a smooth and seamless process. The team has been incredibly responsive and collaborative in shaping the solution with us.
Gregor Hannappel
At Hardt Hyperloop, Marple is the point of reference whenever we need multiple eyes looking at a problem. Just a quick share and colleagues can look at exactly the data in question. This is a game changer in data-driven development!"
Gert Spek
We use Marple dashboards right after the flight. Everyone sees the data and can take action fast, it keeps the test program moving.
Stephen Hardiman
Having all data immediately available and accessible for our engineers was a major step forward. Engineers on and off track could follow what was happening with the car and make decisions in real-time
Robbin Baauw
The use of projects in Marple and the option to visualise databases dynamically, has made our life much easier.
Tine Wildiers
At Vertical we use Marple to analyse our rig and flight test data. Marple is the perfect tool for the job: Marple’s interface allows people of varying technical ability to work together using the same tools while not skimping on the in-depth analysis functions users need.
Samuel Meijer
