5 posts tagged with "comparison"

In this article, we will compare two data storage solutions: ReductStore and Minio. Both offer on-premise blob storage, but they approach it differently. Minio provides traditional S3-like blob storage, while ReductStore is a time series database designed to store a history of blob data. We will focus on their application in scenarios that require storage and access to a history of unstructured data. This includes images from a computer vision camera, vibration sensor data, or binary packages common in industrial data.

Handling Historical Data​

S3-like blob storage is commonly used to store data of different formats and sizes in the cloud or internal storage. It can also accommodate historical data as a series of blobs. A simple approach is to create a folder for each data source and save objects with timestamps in their names:

bucket
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 |---cv_camera
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        |---1666225094412397.jpeg
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Benchmarks don't lie, let's put the systems to the ultimate test.

ReductStore vs. MinIO & InfluxDB on Edge Device HX401

For anyone deeply immersed in the engineering world of Edge Computing, Computer Vision, or IoT, you'll want to read further to understand why a time series database for blob data is needed and where it stands out.

Enter our contest: First, we have ReductStore—a time series database for blob data—specifically designed for edge devices.

Its counterpart? The duo of MinIO and InfluxDB, each optimized for their niche in blob storage and time-series data respectively.

In a head-to-head comparison, which system really leads in performance and wins the speed race?

Let's roll up our sleeves and deep-dive into this benchmarking analysis to separate fact from fiction.