Alexey Timin

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 an alternative 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:

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We are pleased to announce the release of the latest minor version of ReductStore, 1.8.0. ReductStore is a time series database designed for storing and managing large amounts of blob data.

To download the latest released version, please visit our Download Page.

What's New in ReductStore v1.8.0​

In this release, we're introducing a crucial feature for any database - data replication. Now, you can create a server-side task that "subscribes" to new records written to a bucket and forwards them to another bucket. This bucket can be located on the same instance or a remote one. Since all databases implement replication differently based on their specializations, let's examine how ReductStore tackles this.

We are pleased to announce the release of the latest minor version of ReductStore, 1.7.0. ReductStore is a time series database designed for storing and managing large amounts of blob data.

To download the latest released version, please visit our Download Page.

What's new in 1.7.0?​

ReductStore v1.7.0 introduces two new features that make it easier to provision resources and write data in batches, which can improve your performance and efficiency when using ReductStore for edge computing and AI applications.