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 24.04 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.

The virtual machine uses an Azure storage account for storage instead of a file system. You should create a storage container and provide the credentials to the virtual machine as custom data:


AZURE_STORAGE_ACCOUNT=[STORAGE_ACCOUNT_NAME]

AZURE_STORAGE_ACCOUNT_CONTAINER=[STORAGE_ACCOUNT_CONTAINER]

AZURE_STORAGE_ACCESS_KEY=[STORAGE_ACCOUNT_ACCESS_KEY]

Read more about the deployment in the Deploy as Azure Virtual Machine guide.

ReductStore ServerReductSoftware UG5.0(1 등급)

ReductStore Server

ReductSoftware UG

ReductStore Server

ReductSoftware UG

ReductStore Server
ReductSoftware UG
5.0(1 등급)