Canary Historian Reviews & Ratings

Canary Historian

5.0 out of 5 stars

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features 0 out of 5 stars
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Total 5 out of 5 stars
ease 5 out of 5 stars
features 5 out of 5 stars
design 5 out of 5 stars
support 5 out of 5 stars

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What is Circonus IRONdb?

Circonus IRONdb streamlines the storage and management of infinite telemetry data, effortlessly handling billions of metric streams with remarkable ease. It enables users to swiftly identify both opportunities and challenges as they arise in real time, delivering exceptional capabilities in forensic, predictive, and automated analytics. Leveraging machine learning, the system automatically defines a "new normal" as operational data evolves, adapting to changes seamlessly. Furthermore, Circonus IRONdb integrates smoothly with Grafana, which directly supports its analytics query language, and is also compatible with various other visualization platforms like Graphite-web. To safeguard data integrity, Circonus IRONdb creates multiple copies across a network of IRONdb nodes, ensuring durability and availability. Although system administrators typically manage clustering, they often spend a significant amount of time maintaining its performance and reliability. In contrast, Circonus IRONdb allows operators to configure their clusters for autonomous operation, freeing them to concentrate on strategic initiatives rather than the monotonous tasks of managing time series data storage. This efficient methodology not only boosts productivity but also optimizes the use of available resources, ultimately leading to a more effective operational structure. With these capabilities, Circonus IRONdb stands out as an essential tool for organizations looking to harness the full potential of their telemetry data.

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.

Media

Media

Integrations Supported

Amazon CloudWatch
Apache Kafka
CentOS
Elasticsearch
Google Cloud Platform
Graphite
HashiCorp Consul
HashiCorp Nomad
HashiCorp Vault
Istio
Kubernetes
Microsoft Azure
NGINX
Opsgenie
Redis
Riak KV
SQL Server
Terraform

Integrations Supported

DataHUB+
Opralog

API Availability

Has API

API Availability

Pricing Information

Pricing not provided
Free Trial Offered?

Pricing Information

$9,970 one-time payment

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars

Training Options

Documentation Hub

Company Facts

Organization Name

Circonus

Date Founded

2010

Company Location

United States

Company Website

www.circonus.com/use-cases/time-series-database/

Company Facts

Organization Name

Canary

Company Location

United States

Company Website

www.canarylabs.com/product/historian

Categories and Features

Time Series Databases

Not specified

Categories and Features

Data Historians

Not specified

Industrial Automation

Not specified

Time Series Databases

Not specified

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