Marple DB
Marple DB is a high-performance database designed for storing and querying large volumes of time series data. Built on PostgreSQL, it optimizes data organization, streamlines ingestion, and enables fast, efficient analysis and insights.
Telemetry Data Storage Done Right
Efficient Time-Series Data Management- File Based Data Ingestion Options
- Optimized for Analysis Performance
- Cloud or Self-Managed
Convert Files to Database
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 .csv, .mat, .tdms, .mdf and many more.
100% Customizable
Adapt Marple DB to your unique workflows, ensuring seamless integration into your ecosystem.
Automatic ingestion
Streamline data flow with automated ingestion, reducing manual effort and boosting productivity.
Optimized for Time Series Data
High-Frequency Telemetry Data
Marple DB is purpose-built for high-frequency telemetry data, handling measurements from 1Hz to 10kHz or more.
Automatic Data Partitioning
Automatically organize data into partitions for optimized storage and accelerated query performance.
Built-in Performance Optimization
Designed to handle large datasets, Marple DB ensures peak performance with automated indexing, data segmentation, and time-column optimization.
Scalable Data Storage
Time Series are ever growing data sets. Marple DB takes this into account and archives data when necessary.
Integrate with other Tooling
Connect with Marple Insight
Seamlessly integrate with Marple Insight for advanced analytics and deeper insights into your data.
3rd Party Analysis Tools
Easily connect with external analysis tools to expand your data processing and visualization capabilities.
Make use of the SDK
Leverage the powerful SDK to develop custom integrations and extend functionality to suit your needs.
Build your Workflow
Design tailored workflows by integrating Marple DB with your existing tools and automation systems.
Explore all Marple Insight 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
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
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
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
