History storage and management of images, vibration data, text, labels, and more - all in one place with the highest performance. Merge blob and time series functionalities, reducing the need for multiple databases. Customize real-time data retention policies and replication strategies. Store billions of time-stamped blobs with AI labels and access them with low latency. Outperform other databases with a customized solution for time-series object data. Capture and access blob data as time series, tailored for edge computing, computer vision, and IoT. ReductStore handles blob data without size limits; your disk capacity is the only boundary. Ensure optimal storage management with FIFO quotas, preventing disk space shortages in real-time. Manage your time-series blob data with ease: annotate, filter, and save AI labels or meta-data. Integrate and communicate with ReductStore using our feature-rich and secure API.
Features
- Minimize network overhead in areas with high latency by fetching records in batched HTTP responses
- Synchronize data across buckets with replication for high availability and disaster recovery
- Efficiently queries large datasets with minimal load for real-time and historical data processing
- Secure data access with token-based authorization to protect your data from unauthorized access
- ReductStore handles blob data without size limits; your disk capacity is the only boundary
- Ensure optimal storage management with FIFO quotas, preventing disk space shortages in real-time
Project Samples
