Canary Historian

Site Historian, Enterprise Historian, or Both!

The beauty of the Canary Historian is that the same solution works as well on site as it does for the entire enterprise. You can log data locally, while sending it to your enterprise historian simultaneously.

Best of all, as you grow, so does the solution. A single Canary Historian can hold up to two million tags.

Enterprise historian solutions can be hosted in your own data centers or in the cloud.  And, unlike other enterprise historian solutions, Canary Historians don't require specialized teams of ten and more to maintain them.

A Truly Loss-Less Data Historian

The Canary Historian is a NoSQL time series database that uses loss-less compression algorithms to provide you the best of both worlds, high speed performance without requiring data interpolation!

Every tag you choose to store in the Canary Historian can contain the following data:

• Tag name
• 100+ meta data properties (engineering units, descriptions, limits, and more)
• Timestamps
• Values (booleans, floats, integers, strings, etc)
• Quality score

Imagine the amount of data that can be produced if you have 5,000 tags sending values every second.  What if it was 50,000 tags, or even 500,000?

That’s exactly why Canary chooses not to use SQL, its just too much data for a relational database to store without compromising the long-term storage of your raw data.

The Canary Historian was specifically built and optimized for the writing and reading of this specialty time series data and never interpolates the data archive.

Exceptional Performance, Zero Compromise

The Canary Historian is engineered for high-speed, continuous data logging—24 hours a day, 7 days a week. Its architecture is designed to deliver consistent performance, regardless of the number of tags you're collecting or how many years of data you're storing.

Whether you're writing or reading massive volumes of time series data, Canary maintains rapid throughput without degradation over time. It easily supports high-resolution data logging, even in demanding, nonstop industrial environments.

Unlike traditional SQL databases, which often slow down as they grow and require costly server expansions or data compromises, the Canary Historian scales effortlessly. There’s no need to reduce your data retention or rely on interpolated data to maintain performance.

Best of all, while Canary’s backend is powered by a NoSQL time series engine, users can still query the data using standard SQL—giving your team powerful performance without the learning curve.

With Canary, you don’t have to choose between speed, scale, or simplicity—you get it all.