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What is Timescale?

TimescaleDB stands out as the leading open-source relational database tailored for managing time-series data, offering both managed and self-hosted options. You can trust the familiar PostgreSQL foundation, enjoying complete SQL support alongside unmatched reliability and a vast ecosystem. With the capability to write millions of data points per node, it allows for horizontal scaling up to petabytes without the hassle of high cardinality concerns. This database minimizes complexity, enabling you to pose more questions and develop more sophisticated applications. By leveraging advanced algorithms, you can achieve impressive compression rates of 94-97%, along with various performance enhancements that lead to significant cost savings. As a modern cloud-native platform, it efficiently handles all aspects of time-series data storage. Built on PostgreSQL and TimescaleDB, it represents the fastest, simplest, and most dependable method for managing your time-series information. Furthermore, all observability data falls under the umbrella of time-series data, highlighting the importance of finding efficient solutions for addressing infrastructure and application challenges. By optimizing data management, businesses can unlock valuable insights and enhance their operational efficiency.

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

APERIO DataWise
DataClarity Unlimited Analytics
DataHUB+
Dataplane
FactoryTalk
Last9
Mode
Ndustrial Contxt
NexClipper
PARCview
Pro Edition for Eclipse Mosquitto
QStudio
TrendMiner
Wyn Enterprise
n8n

Integrations Supported

APERIO DataWise
DataClarity Unlimited Analytics
DataHUB+
Dataplane
FactoryTalk
Last9
Mode
Ndustrial Contxt
NexClipper
PARCview
Pro Edition for Eclipse Mosquitto
QStudio
TrendMiner
Wyn Enterprise
n8n

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$9,970 one-time payment
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Timescale

Date Founded

2015

Company Location

United States

Company Website

www.timescale.com

Company Facts

Organization Name

Canary

Company Location

United States

Company Website

www.canarylabs.com/product/historian

Categories and Features

Relational Database

ACID Compliance
Data Failure Recovery
Multi-Platform
Referential Integrity
SQL DDL Support
SQL DML Support
System Catalog
Unicode Support

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