ReductStore is a time series database that is specifically designed for storing and managing large amounts of blob data. It boasts high performance for both writing and real-time querying, with the added benefit of batching data. This makes it an ideal solution for edge computing, computer vision, and IoT applications where network latency is a concern

Features

Time Series Blob Storage:
Capture and access blob data as time series, tailored for edge computing, computer vision, and IoT.
Data Replication:
Buffer and send your data from an edge device by using append-only replication.
No Size Limit for Blobs:
ReductStore handles blob data without size limits; your disk capacity is the only boundary.
Real-Time FIFO Quota:
Ensure optimal storage management with FIFO quotas, preventing disk space shortages in real-time.
Efficient Data Batching:
Minimize network overhead in areas with high latency by fetching records in batched HTTP responses.

About Virtual Machine

The virtual machine is based on Ubuntu 22.04 and provisioned with a licensed ReductStore instance available on 443 port via HTTPS. A SSL self-signed certificate is generated at the first boot of the machine.

You can provision the instance by using custom data and set key-value pairs there:

RS_BUCKET_A_NAME=bucket-1
RS_BUCKET_A_QUOTA_TYPE=FIFO
RS_BUCKET_A_QUOTA_SIZE=1TB

Read more about ReductStore provisioning here: https://www.reduct.store/docs/next/configuration#provisioning

ReductStore Time-Series Blob Storage in the CloudReductStore LLC

ReductStore Time-Series Blob Storage in the Cloud

ReductStore LLC

ReductStore Time-Series Blob Storage in the Cloud

ReductStore LLC

ReductStore Time-Series Blob Storage in the Cloud
ReductStore LLC