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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 Amazon Timestream?

Amazon Timestream is a fast, scalable, and serverless database solution specifically built for handling time series data, tailored for IoT and operational needs, enabling users to store and analyze trillions of events each day with speeds up to 1,000 times quicker and at a fraction of the cost compared to conventional relational databases. It effectively manages the lifecycle of time series data by keeping the most recent data in memory while transferring older information to a more cost-effective storage layer based on user-defined settings, which results in significant time and cost savings. The service's distinctive query engine allows users to access and analyze both current and historical data seamlessly, eliminating the need to specify the storage tier of the data being queried. Furthermore, Amazon Timestream is equipped with built-in analytics capabilities for time series data, enabling users to identify trends and patterns nearly in real-time, thereby improving their decision-making processes. This array of features positions Timestream as an excellent option for businesses aiming to utilize time series data effectively, ensuring they remain agile in a fast-paced data-driven environment. As organizations increasingly rely on data analytics, Timestream's capabilities can provide a competitive edge by streamlining data management and insights.

Media

Media

Integrations Supported

APERIO DataWise
Amazon CloudWatch
Amazon Web Services (AWS)
Apache CouchDB
Apache Kafka
CentOS
Elasticsearch
Google Cloud Platform
HashiCorp Consul
HashiCorp Nomad
MongoDB
NGINX
Opsgenie
PagerDuty
PostgreSQL
Redis
Riak KV
SQL Server
Seeq
Slack

Integrations Supported

APERIO DataWise
Amazon CloudWatch
Amazon Web Services (AWS)
Apache CouchDB
Apache Kafka
CentOS
Elasticsearch
Google Cloud Platform
HashiCorp Consul
HashiCorp Nomad
MongoDB
NGINX
Opsgenie
PagerDuty
PostgreSQL
Redis
Riak KV
SQL Server
Seeq
Slack

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
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

Circonus

Date Founded

2010

Company Location

United States

Company Website

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

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/timestream/

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