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ReductStore v1.15.0 Released With Extension API and Improved Web Console

· 4 min read
Alexey Timin
Alexey Timin
Software Engineer - Database, Rust, C++

ReductStore v1.15.0 Released

We are pleased to announce the release of the latest minor version of ReductStore, 1.15.0. ReductStore is a high-performance storage and streaming solution designed for storing and managing large volumes of historical data.

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

What's new in 1.15.0?​

This release includes several new features and enhancements. These are the extension API, the improved Web Console and the new conditional query operators.

ReductStore v1.14.0 Released With Many Improvements

· 6 min read
Alexey Timin
Alexey Timin
Software Engineer - Database, Rust, C++

ReductStore v1.14.0 Released

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.

ReductStore v1.13.0 Released With New Conditional Query API

· 4 min read
Alexey Timin
Alexey Timin
Software Engineer - Database, Rust, C++

We are pleased to announce the release of the latest minor version of ReductStore, 1.13.0. 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 1.13.0?​

This release introduces a new conditional query API that should significantly improve your experience when querying or removing records. The new conditional queries allow you to use logical and comparison operators to filter records by labels. Previously, you could only filter records by labels using the include and exclude options, which were limited to exact matches. This means that you had to classify your records in advance at the ingest stage to be able to filter them later. Now, all you have to do is label your records with metric labels and then use the conditional queries to filter them by any condition you want.