Related Products
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About
Value Boxes are useful when the dataset is small and the actual values are important to understand. When enabled, each node will have its value placed on or around itself. When you have a slightly larger dataset, and value boxes on each node would become too cluttered, tooltips allow you to see a node's value on demand. When even tooltips won't be granular enough, crosshairs give you an easy way to inspect a spectrum of values. When the dataset is so large that you need a magnifying glass to see a node's value, the ability to zoom into a point helps prevent squinting your eyes. Scroll bars can be added for additional functionality. The preview window helps keep track of where you are currently zoomed into. It also acts as a way to move the scroll position.
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About
etcd is a strongly consistent, distributed key-value store that provides a reliable way to store data that needs to be accessed by a distributed system or cluster of machines. It gracefully handles leader elections during network partitions and can tolerate machine failure, even in the leader node. Store data in hierarchically organized directories, as in a standard filesystem. Watch specific keys or directories for changes and react to changes in values.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
Developers searching for a JavaScript charting library solution
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Audience
Key-value store solution for businesses
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
$249 one-time payment
Free Version
Free Trial
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Pricing
No information available.
Free Version
Free Trial
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationZingChart
www.zingchart.com
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Company Informationetcd
etcd.io
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Alternatives |
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Categories |
Categories |
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Data Visualization Features
Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery
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Integrations
Elastic Observability
Netdata
Plakar
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