ReductStore provides high-performance time-series blob storage optimized for robotics and Industrial IoT workloads. It enables the storage of multimodal data like images, LiDAR, and logs directly on edge devices with efficient replication to cloud or on-premise S3 backends. The platform delivers fast ingestion and retrieval speeds while significantly lowering cloud storage costs through intelligent batching.
Funding
Funding not disclosed
Founders
Product
Problem
Many time-series databases focus on numerical data and offer limited support for unstructured data types. S3-like object storage solutions lack native time-series APIs for efficient data retrieval and management. This makes it difficult to store and access unstructured data, such as images, sensor data, and large text documents, at specific time intervals.
Solution
ReductStore provides a high-performance time-series object storage solution designed for applications that require storing and accessing unstructured data with time indexing. Written in Rust, it merges blob and time-series functionalities, eliminating the need for multiple databases. It allows users to store billions of time-stamped blobs with AI labels and access them with low latency. The solution offers customizable real-time data retention policies and replication strategies, ensuring data is efficiently managed and readily available.
Target Audience
The primary target audience includes developers and organizations working with edge computing, computer vision, IoT, robotics, and industrial IoT (IIoT) applications that require efficient storage and retrieval of unstructured, time-stamped data.
Features
- HTTP(S) API for storing and accessing unstructured data as time series
- No size limit for individual data objects, bounded only by disk capacity
- Real-time FIFO quota management to prevent disk space shortages
- Data labeling for annotation and filtering
- JSON-based query language for filtering data
- Append-only data replication for data integrity
- Batching records in HTTP responses for efficient write and read operations
- Integrated web console for data management and access
- Token authorization for secure data access
- Client SDKs for Python, JavaScript, C++, and Rust