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Alexey Timinleft a comment
There are numerous time-series databases available in the market that provide remarkable functionality and scalability. However, all of them concentrate on numeric data and have limited support for unstructured data, which may be represented as strings. On the other hand, S3-like object storage solutions could be the best place to keep blob objects, but they don't provide an API to work with...
ReductStoreA time series database for unstructured data
ReductStore is a time series database designed specifically for storing and managing large amounts of blob data. It offers high performance for writing and real-time querying, making it suitable for edge computing, computer vision, and IoT applications.
ReductStoreA time series database for unstructured data
Alexey Timinleft a comment
If you're a developer or data engineer working with big data, you know that storing and managing your historical data can be a challenge. Traditional time series databases and object storages aren't always able to handle the volume and variety of data that you need to work with. That's where Reduct Storage comes in. Reduct Storage is a time series database designed specifically for big data...
Reduct StorageA time series database for big data
Reduct Storage is a time series database for big data. It has no limitation on the size of stored objects. It provides a simple HTTP API and is optimized for random data reads via a timestamp or larger chunks via time intervals.
Reduct StorageA time series database for big data