Marple

Instantly extract insights from high-frequency time series data.

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Description

Marple provides a comprehensive solution tailored for handling large-scale, high-frequency time series data, commonly encountered in engineering and data science fields. The platform consists of two main components: Marple DB, a high-performance database optimized for storing vast time series datasets efficiently, and Marple Insight, an advanced platform for intuitive data analysis and visualization. Together, these tools empower users to effectively manage and interpret complex datasets.

Marple enables users to measure high-frequency telemetry data in real-time or offline, store it either in Marple DB or a third-party database, and then connect Marple Insight for in-depth analysis. Key capabilities include creating interactive data visualizations, performing complex calculations, and extracting actionable insights. The platform supports integration with various databases like Postgres, Timescale, Influx, and Microsoft Fabric/Eventhouse. Marple is exploring AI functionalities, including automatic visualizations and GPT-powered data querying, and offers flexible deployment options with both cloud and self-managed solutions.

Key Features

Interactive data visualisation: Explore data deeply with real-time analysis and customizable views.
Connect with databases: Seamlessly integrate with various time series databases and data sources.
AI powered fault detection: Utilize AI to identify issues, predict failures, and enhance system reliability.
Designed for high frequency telemetry data: Optimized for fast processing and precise analysis of large datasets.
Cloud or Self-Managed: Offers flexible deployment options to suit infrastructure needs.
Efficient Data Storage: Leverages Marple DB or integrates with third-party databases for optimal storage.
Complex Calculations: Perform advanced calculations directly on time series data.
Real-time & Offline Data Handling: Supports both live data logging and analysis of stored datasets.

Use Cases

Analyzing high-frequency telemetry data in Motorsport.
Optimizing workflows and analyzing sensor data in Automotive engineering.
Processing and visualizing flight test data in Aerospace.
Improving efficiency and minimizing downtime in Manufacturing processes.
Streamlining engineering R&D data analysis workflows.
Facilitating data-driven development and collaboration among engineers.
Reducing test campaign costs through efficient data handling.

Frequently Asked Questions

What is Marple?

Marple is a powerful platform for managing high-frequency time series data, offering seamless storage, advanced analysis, and interactive visualizations to streamline workflows and drive innovation across diverse industries.

What data solutions does Marple Insight support?

Marple Insight supports a variety of databases such as Postgres, Timescale, Influx, Microsoft Eventhouse, Microsoft Fabric and Marple DB.

Can I use Marple DB or Marple Insight separately?

Yes! You can store your data in Marple DB and connect other tools, or use Marple Insight separately with third-party databases.

Can I deploy Marple on my data infrastructure?

Yes! We have both a cloud offering and a self-managed offering. Contact Marple for details on the self-managed solution.

Does Marple use AI?

Marple is experimenting with AI functionality, currently using it for automatic visualizations based on user input and allowing users to ask questions about their data using GPT technology. They continue to explore AI implementations for data analysis.