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Comparing Data Management Tools for Robotics

· 11 min read
Gracija Nikolovska
Software Developer - C#, Python, ROS

Data Management Tools for Robotics

Data management is a very important element in modern robotics systems. As robots become more advanced, they generate massive amounts of information from various sources, such as sensor readings, system logs, and video feeds, and being able to manage this data effectively can mean the difference between a robot that performs well and one that fails to meet expectations.

In this article, we will compare different data management tools for robotics by looking into their key features, strengths, and the types of use cases they are best suited for. Understanding these differences will help robotics engineers and developers choose the right tool for their specific needs.

How to Store and Manage ROS Data

· 29 min read
Anthony Cavin
Data Scientist - ML/AI, Python, TypeScript

ROS 2 Data Storage Tutorial

In this tutorial, we will create a custom ROS 2 Humble package called rosbag2reduct that records incoming ROS 2 topics into MCAP bag files on a Raspberry Pi and automatically uploads those files to a ReductStore instance with metadata labels. We'll walk through setting up ROS 2 Humble on the Pi, interfacing a USB camera using the v4l2_camera driver, deploying a lightweight YOLOv5 (nano) object detection node (using ONNX Runtime) to produce detection metadata, and implementing the rosbag2reduct node to capture data and offload it. We will also cover installing ReductStore on the Pi, configuring replication of labeled data to a central storage on your laptop (using label-based filters via the web console). This end-to-end guide is structured with clear steps, code examples, and configuration snippets to help you build and deploy the system.

ReductStore vs. MinIO: Beyond Benchmarks

· 7 min read
Anthony Cavin
Data Scientist - ML/AI, Python, TypeScript

MinIO vs ReductStore

As data-driven applications evolve, the need for efficient storage solutions continues to grow. ReductStore and MinIO are two powerful solutions designed to handle massive amounts of unstructured data, but they serve different purposes.

While ReductStore is optimized for time-series object storage with a focus on unstructured data such as sensor logs, images, and machine-generated data for robotics and IIoT, MinIO is a high-performance object storage system built for scalable, cloud-native applications with a focus on S3 compatibility and enterprise-wide storage needs.

In this article, we'll explore the differences between ReductStore and MinIO, examine where each excels, and discuss how they can be used together to build a more comprehensive data storage solution.