Latest product updates
Rewatch the Marple Autumn Summit for our latest updates on Marple DB, Marple Insight and the new MATLAB SDK .
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Marple is the go-to solution for managing large, high-frequency time series data.
Designed for engineering and data science applications, Marple offers two powerful products: one for performant data storage and a second for advanced data analysis. Together, they provide the tools you need to handle complex datasets with ease. With Marple, you can improve your R&D process by at least 35%.
Marple DB is a high-performance database designed for storing and querying large time series datasets.
Marple Insight offers intuitive and performant analysis and visualization for high-frequency time series data
The motorsport package offers extra tooling on top of Marple Insight such as lap triggers, laptimes, distance mode, lap metrics, etc...
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Marple's efficiency in analyzing high-frequency data and optimizing workflows makes it perfect for automotive engineering.
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The flight testing package enhances Marple Insight, making it an ideal solution tailored to the needs of aerospace engineers.
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Optimize manufacturing processes for greater efficiency and minimize downtime with the advanced capabilities of Marple products.
Interactive data visualisation
Unlock the full potential of your data with interactive visualizations that enable deeper exploration, real-time analysis, and actionable insights. Tailor your view to specific needs, empowering you to make informed decisions quickly and efficiently.
Connect with databases
Seamlessly connect to any data source, enabling real-time access and integration for streamlined analysis.
AI powered fault detection
Leverage AI-powered fault detection to instantly identify issues, predict failures, and improve system reliability.
Designed for high frequency telemetry data
Optimized for high-frequency telemetry data, ensuring fast processing and precise analysis of large datasets.
Cloud or Self-Managed
Choose between cloud or self-managed options, offering flexibility to suit your infrastructure needs and control preferences.
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
Marple being used around the world
Marple is trusted worldwide, empowering industries like aerospace, automotive, and manufacturing with advanced tools for data analysis and optimization.
25%
25% more insights from data
2x
Find problems twice as fast
1000
Insights across 1000s of data sets
35%
Reduce test campaign costs by up to 35%
Frequently asked questions
General
Yes! If you like to store your data in our Marple DB and couple other tools to it, that is totally fine. Marple Insight is also often used separately with third party databases.
Yes, Marple offers AI-powered features to power advanced features like deep data search and automatic dashboard generation. This is always on an opt-in basis, giving you control over when and how to use them. By default, data is never shared with any external services.
Marple serves customers in Aerospace, Motorsport & Automotive, Manufacturing and other industries. Where there is time series data, you will find Marple.
Schedule a demo with our team to explore Marple's capabilities and see how it fits your needs. We usually start with a Proof Of Concept (limited in time and scope) to explore if Marple suits your team and workflow.
Marple products are designed to fit into your existing ecosystem of tools. Integration is available through our SDKs, direct database connections via Apache Iceberg, and through database connectors for Marple Insight for Timescale, InfluxDB, Clickhouse, ADX and others (see full list).
Marple DB
Marple DB is a high-performance Data Lakehouse for processing and standardising time series data coming from measurement files. Discover more.
Marple DB can import data directly from measurement files using plugins. Out of the box supported are CSV, MAT, MDF, TDMS, Chapter10, AVRO, Ulog and more. For other formats, a custom plugin can be created. See full list of supported files.
Yes, Marple DB supports realtime data ingestion and processing for use cases with 50k datapoints per second throughput. Pushing data can be done through our SDK and API. Read the docs.
Marple DB can do extreme batch ingestion of time series data. It can import with a throughput up to 10 million datapoints per second, being absolute top-of-market. Read the full blogpost.
Yes, Marple DB is designed for scalability. It can handle a total data volume of 100s of TBs of data by leveraging Apache Iceberg. Individual files can be up to 25 GB in size, can contain 100+ billion datapoints, and can have channels sampled up to 200 kHz.
Marple DB is built using Parquet files on object storage in the Apache Iceberg format. Compatible query engines include DuckDB, Spark, Trino, Presto and many more.
No, but it's built on open standards, including Apache Iceberg, Parquet files and PostgreSQL.
Marple DB offers three storage tiers: hot (fast, PostgreSQL), cold (scalable, Parquet), and archive (long-term retention). Lifecycle rules allow data to automatically move between these tiers to optimise cost and performance. Read more.
Yes, Marple DB's unified namespace (UNS) and built-in post-processing capabilities clean and unify time series data from different sources in a standardised format. This makes it well-suited as a starting point for AI and machine learning workflows. Learn more.
Marple Insight
A collaborative web interface for deep analysis, reporting and dashboarding on complex time series data. Discover more.
Marple Insight connects to multiple database types, including Marple DB, Timescale, InfluxDB, Clickhouse, ADX and other common databases. See the full list.
Marple Insight is designed for high-performance data visualisation and calculations. It uses advanced techniques like intelligent subsampling to handle large datasets (up to 100 billion datapoints) smoothly. Read our blog post.
Yes, Marple Insight is purpose-built for aerospace applications. The aerospace package includes flight stages (take-off, landing, manoeuvres, …), airspaces, 3D aircraft visualisation and a primary flight display (PFD). Chapter10 files from IADS systems can be integrated. Learn more.
Yes, Marple Insight fully supports automotive and motorsport data analysis requirements. The motorsport package includes features like lap times, distance comparison, track maps, and performance metrics. MDF/MF4 files are supported out of the box. Learn more.
Hosting & Security
Yes, self-managed deployment on your own infrastructure is fully supported. You can choose between a Docker Compose template or a Helm charts for Kubernetes. Learn more.
Marple offers three hosting options: fully managed SaaS, VPC deployment, and self-managed running on the customer’s infrastructure. Get in touch for more information.
Yes, SSO can be integrated during setup using OpenID-Connect (OIDC). We have worked before with Entra ID, Google SSO, Auth0 and other identity providers. Additional pricing applies. Get in touch for more information.
