Robotics teams today wrestle with data that grows faster than their infrastructure. Every robot generates streams of images, sensor readings, logs, and events in different formats. These data piles are fragmented, expensive to move, and slow to analyze. Teams often rely on generic cloud tools that are not built for robotics. They charge way too much per gigabyte (when it should cost little per terabyte), hide the raw data behind proprietary APIs, and make it hard for robots (and developers) to access or use their own data.

ReductStore introduces a new category: a database purpose built for robotics data pipelines. It is open, efficient, and developer friendly. It lets teams store, query, and manage any time series of unstructured data directly from robots to the cloud.

We are pleased to announce the release of the latest minor version of ReductStore, 1.17.0. ReductStore is a high-performance storage and streaming solution designed for storing and managing large volumes of historical data.

To download the latest released version, please visit our Download Page.

What's new in 1.17.0?​

This release includes several new features and enhancements. First, there are query links for simplified data access. Second, there is support for S3-compatible storage backends.

These new features enhance the usability and flexibility of ReductStore for various use cases in the cloud and on-premises environments and make it easier to share and access data stored in the database.

If you’re collecting high-rate sensor or video data at the edge and need zero-downtime ingestion and fault-tolerant querying, an active–active ReductStore setup fronted by NGINX is a clean, practical pattern.

This tutorial walks you through the reference implementation, explains the architecture, and shows production-grade NGINX snippets you can adapt.

What We’ll Build​

We’ll set up a ReductStore cluster with NGINX as a reverse proxy, separating the ingress and egress layers. This architecture allows for independent scaling of write and read workloads, ensuring high availability and performance.