Store and stream multimodal time series from many robots or devices. Built to handle large data volumes, poor connectivity, and fast event retrieval at scale.
🚀 ReductStore v1.20 is here.
Our mission is to make raw robotics and industrial data queryable — without forcing teams to redesign their pipelines.
https://t.co/xfPNqWAM82
#InfluxDB works great for robotics metrics, but not always for raw sensor data.
Add #ReductStore for the raw data history and use both.
A much simpler setup than forcing #S3-like storage or a filesystem into the stack.
#ROS#robotics#datastorage
https://t.co/LXAPgKwixA
The data that matters most when a robot breaks is also the heaviest. Too expensive to stream, too valuable to drop.
We officially partnered with @ReductStore, which has been the engine behind our edge recording for a while now.
https://t.co/VswZKRdaMc
Custom playback software we built in Rust.
Pulls from ReductStore so we can synchronize every datapoint collected across the system.
Even overlays a “ghost” so we can visualize commanded vs actual robot trajectories… clutch for multi-robot coordination.
This article describes the data logger design used in @ReductStore . It is intended for engineers who are interested in the technical details of data logging and the issues that had to be mitigated.
https://t.co/2djPWr8X9e
🚀 ReductStore v1.19 is here — built for #robotics & ROS
Now open-source (Apache 2.0) → easier adoption from edge → cloud
🤖 Nested #ROS-like topics + schemas
🔗 ReductBridge for ROS1/ROS2
📡 Native #Zenoh API
Fits real robot data workflows.
https://t.co/vOTigkvl9G
🔹 Twitter / X version
🚀 ReductStore v1.18.0 is out!
✨ Hot-standby & failover
📊 Read-only replicas
⚡ Multi-entry API
More resilient, more scalable time-series object storage for IIoT & robotics.
🔗 https://t.co/FvYEl1GYZ6
#IIoT#EdgeComputing#Robotics#OpenSource
C++ is a de facto standard in many fields. Here you can learn how to interact with @ReductStore from C++ code to write and query a history of blob data.
https://t.co/2Q01DuxmyC
#cpp#reductstore
Learn to retain MQTT data over the long term with Rust. Use ReductStore and Docker to build a scalable solution for your IoT needs.
{ author: @aleksey_timin } #DEVCommunity#RustLang
https://t.co/Gpp1nCSagd