Canary Historian Reviews & Ratings

Canary Historian

5.0 out of 5 stars

Ratings and Reviews 1 Rating

Total 5 out of 5 stars
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features 5 out of 5 stars
design 5 out of 5 stars
support 5 out of 5 stars

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features 0 out of 5 stars
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What is Canary Historian?

One of the standout features of the Canary Historian is its adaptability, allowing it to operate effectively both on-site and throughout an entire organization. It supports local data logging while also facilitating the real-time transfer of that data to your enterprise historian. As your operational demands grow, this solution evolves effortlessly to meet those increased requirements. A single unit of the Canary Historian can log over two million tags, and by networking multiple units, you can effortlessly handle tens of millions of tags. These enterprise historian systems can be implemented either within your own data centers or on cloud platforms such as AWS and Azure, providing flexibility in deployment. Unlike many other enterprise historian solutions, the Canary Historian does not require large specialized teams for upkeep. Functioning as a NoSQL time series database, it utilizes loss-less compression algorithms, which enhances performance without the necessity of data interpolation, presenting a notable advantage for users. This combination of features guarantees that both speed and efficiency in data management are significantly enhanced. Furthermore, the scalable nature of the system ensures that organizations can continually optimize their data strategies as they evolve.

What is Serverless Application Engine (SAE)?

Implementing network isolation through the use of sandboxed containers and virtual private clouds (VPC) significantly strengthens the security of application environments. SAE provides powerful high availability solutions designed specifically for large-scale events that require precise capacity management, remarkable scalability, and effective service throttling and degradation. By utilizing fully-managed Infrastructure as a Service (IaaS) with Kubernetes clusters, organizations can benefit from economical solutions. The capacity of SAE to scale in mere seconds greatly enhances runtime efficiency and accelerates the startup times for Java applications. This all-encompassing Platform as a Service (PaaS) effortlessly integrates vital services, microservices, and DevOps tools, promoting a cohesive development environment. Additionally, SAE facilitates comprehensive application lifecycle management, accommodating a variety of release strategies, such as phased and canary releases. It notably supports a traffic-ratio-based canary release approach, ensuring a streamlined rollout process. The entire release workflow is designed to be fully observable and includes options for reverting changes if necessary, thereby improving operational flexibility and dependability. This framework not only simplifies the deployment process but also encourages a culture of ongoing enhancement within development teams, ultimately leading to higher-quality software delivery. By prioritizing security and efficiency, organizations can stay competitive in a rapidly evolving technological landscape.

Media

Media

Integrations Supported

DataHUB+
FactoryTalk
Opralog
PARCview

Integrations Supported

Alibaba Cloud

API Availability

API Availability

Pricing Information

$9,970 one-time payment

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Webinars

Company Facts

Organization Name

Canary

Company Location

United States

Company Website

www.canarylabs.com/product/historian

Company Facts

Organization Name

Alibaba Cloud

Date Founded

2008

Company Location

China

Company Website

www.alibabacloud.com/product/severless-application-engine

Categories and Features

Data Historians

Not specified

Industrial Automation

Not specified

Time Series Databases

Not specified

Categories and Features

Serverless

Not specified

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