Anthony Cavin

Drones in air-gapped environments produce a lot of data (camera images, telemetry, logs, model outputs). Storing this data reliably on each drone and syncing it to a ground station later can be hard. ReductStore makes this easier: it's a lightweight, time-series object store that works offline and replicate data when a connection is available.

This guide explains a simple setup where each drone stores data locally with labels, replicates records to a ground station based on what it detects, and keeps a clear audit trail of what was captured and replicated.

Modern robots collect a lot of data from sensors, cameras, logs, and system outputs. Managing this data well is important for debugging, performance tracking, and training machine learning models.

Over the past few years, we've been building a storage system from scratch. As part of that work, we spoke with many robotics teams across different industries to understand their challenges with data management.

Here's what we heard often:

• Only a subset of what robots generate is actually useful
• Network connections are not always stable or fast
• On-device storage is limited (hard drive swaps is not practical)
• Teams rely on manual workflows with scripts and raw files
• It's hard to find and extract the right data later
• ROS bag files get large quickly and are difficult to manage

In this article, we compare four tools built to handle robotics data: ReductStore, Foxglove, Rerun, and Heex. We look at how they work, what they're good at, and which use cases they support.

If you're working with robots and need to organize, stream, or store data more effectively, this overview should help.

Mobile robots produce a lot of data (camera images, IMU readings, logs, etc). Storing this data reliably on each robot and syncing it to the cloud can be hard. ReductStore makes this easier: it's a lightweight, time-series object store built for robotics and industrial IoT. It stores binary blobs (images, logs, CSV sensor data, MCAP, JSON) with timestamps and labels so you can quickly find and query them later.

This introduction guide explains a simple setup where each robot stores data locally and automatically syncs it to a cloud ReductStore instance backed by Amazon S3.