The time series database built for industrial automation.
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 log more than two million tags, and multiple Canary Historians can be clustered to handle tens of millions of tags.
Enterprise historian solutions can be hosted in your own data centers or in AWS and Azure. 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)
- 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.
Tired of Tag Limits? Go Unlimited!
Simply adjust the tag license of any of your Canary Historians to an unlimited tag licensing option for ultimate peace-of-mind. This simple licensing feature will unleash your ability to gather data from everything without having to manage licenses or worry about tag counts.
Incredibly Fast Performance
You can write more than 1.5 million updates per second to the Historian in a continuous 24 hours a day, 7 days a week operation. That’s a lot of data. Best of all, the database is structured so no matter how many years of data you store, or how many tags you are collecting, you will always maintain that 1.5 million write-per-second performance!
When needed, the Historian can maintain a continuous read speed of more than 2.5 million reads-per-second.
Additionally, the Historian can handle high-speed data logging, with deployments reaching data resolutions as fast as 10 milliseconds, even in continual twenty-four hour a day operations.
It may seem to some that SQL can achieve similar performance numbers, but at what cost? In fact, as an SQL database grows larger and larger, performance starts to drop. Administrators are forced to either reduce the size of the database or add servers. A lose-lose scenario.
Of course, more servers lead to higher operational costs and more management time. On the other hand, reducing the database size results in cutting storage length or massaging raw data into interpolated data. Neither of these options are ideal.
The most enticing reason a company might choose SQL is simply previous experience or knowing how to use it. Canary actually allows you to make SQL queries against our NoSQL database, eliminating any learning curve.
With Canary, you get all of the performance benefits of a NoSQL time series database and your clients can still make SQL queries. Without a doubt, it is the best solution for you.