We are pleased to announce the release of the latest minor version of ReductStore, 1.14.0. 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 1.14.0?​

This release introduces several new features and enhancements, including new conditional query operators, I/O and replication settings, and data browsing in the Web console.

With the rapid expansion of data-driven applications, choosing the right database for your workload has never been more crucial. As data complexity increases, so do the number of specialized solutions. ReductStore, as we've covered before, is a powerful alternative for handling time series unstructured data, but it's not the only player in the space. MongoDB, one of the most widely used NoSQL databases, also offers an effective solution for managing large-scale data. However, each has their own key areas of strength. In this article, we'll break down the differences between ReductStore and MongoDB, and help you determine which is best suited for your needs.

With the vastly growing amount of data produced world-wide, it is no surprise that there are an ever increasing number or methods and approaches to dealing with this influx. It is also no surprise that specialized solutions are developed for subsets of this data. Reductstore, as we've covered in numerous previous articles, is highly specialized in handling one such subset, time-series data. But it is not the only one. IoTDB is another such solution, and also very good at what it does. In this article, we will help you to understand the differences between the two, and where one can excel over the other.