Glances VS InfluxData
Compare Glances VS InfluxData and see what are their differences
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Glances
htop
Zapier
GNOME System Monitor
Boomi
Windows Task Manager
ChartsWatcher
Modex
InfluxData
TimescaleDB
Prometheus
MongoDB
MapR Converged Data Platform
Google Cloud Dataproc
Amazon EMR
VictoriaMetrics
The single customer view you have always wanted is here. Glances unifies your apps in a simplified, easy-to-use customer view that provides real-time data from within any app that you are using. In minutes, securely connect your apps and eliminate tab switching, searching, and clicking around to find important information.
Do the hustle without the hassle
Finding customer information within multiple programs is the hassle that ruins your workflow hustle. Glances brings your favorite online apps together, securely showing your customer data in a single view from whatever app you are using.
An integration the way it should be
It’s like iPaaS, but without the pain. Not time consuming, expensive, or untrustworthy. Glances is a new way to do integrations with a true no-code approach; no data syncing or scheduling jobs. See how it takes just minutes to connect your apps and start using a simplified customer view with Glances.
Glances is designed to support any application that provides an industry standard API, including custom applications. Here is a sample of some of the supported applications:
Glances InfluxDataNo features have been listed yet.
Based on our record, InfluxData seems to be more popular. It has been mentiond 2 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
I would highly recommend using a proper Time Series Database like QuestDB or InfluxDB to do this instead. You can always export data from wither of those two into Excel if your boss wants it in excel, but it's much easier to do data transformations, create graphs and reports, etc. If you have all the data in a proper database. Source: over 2 years ago
I would suggest using something better suited to IoT data than ... a spreadsheet. I'd recommend looking at one of the Time Series Databases for this. 1) QuestDB or 2) InfluxDB as these are much better suited to streaming data. Source: over 2 years ago
htop - htop - an interactive process viewer for Unix. This is htop, an interactive process viewer for Unix systems. It is a text-mode application (for console or X terminals) and requires ncurses. Latest release: htop 2.
TimescaleDB - TimescaleDB is a time-series SQL database providing fast analytics, scalability, with automated data management on a proven storage engine.
Zapier - Connect the apps you use everyday to automate your work and be more productive. 1000+ apps and easy integrations - get started in minutes.
Prometheus - An open-source systems monitoring and alerting toolkit.
GNOME System Monitor - System Monitor is a tool to manage running processes and monitor system resources.
MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.