A: ReductStore is a time series database designed for storing blob data such as images, binary packages, sound files, and other large binary data. It is optimized for edge computing and can be easily integrated into your existing infrastructure using its simple HTTP API.
A: ReductStore is specifically designed for storing large binary data, and is optimized for edge computing. This makes it well-suited for use cases where data needs to be stored and accessed locally, such as in IoT applications or edge devices.
A: ReductStore is not specifically designed for distributed environments, but it can be used in a distributed setup if desired. It is best suited for use cases where data needs to be stored and accessed locally, such as in IoT applications or edge devices.
A: ReductStore does not have built-in replication or backup features. However, it has a CLI client which can be used for exporting or mirroring data.
A: ReductStore provides a simple HTTP API that allows you to easily read and write data. You can use this API to access data stored in the database, and you can also use it to perform queries and retrieve data based on certain criteria. We also provide client SDKs for easy integration.
A: ReductStore’s API is based on HTTP, so you can use any programming language that can send HTTP requests and parse HTTP responses to interact with the database. We provide client SDK for popular languages as well.
A: Yes, ReductStore supports custom metadata in the form of labels. You can add labels to your data when you write it to the database, and then use those labels to filter and query your data later.
A: The size of the data that can be stored in ReductStore is dependent on the available storage capacity of your specific deployment. We recommend to use it for storing blob data, so it can handle large binary files.