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Description
Graph Engine (GE) is a powerful distributed in-memory data processing platform that relies on a strongly-typed RAM storage system paired with a versatile distributed computation engine. This RAM store functions as a high-performance key-value store that is accessible globally across a cluster of machines. By leveraging this RAM store, GE facilitates rapid random data access over extensive distributed datasets. Its ability to perform swift data exploration and execute distributed parallel computations positions GE as an ideal solution for processing large graphs. The engine effectively accommodates both low-latency online query processing and high-throughput offline analytics for graphs containing billions of nodes. Efficient data processing emphasizes the importance of schema, as strongly-typed data models are vital for optimizing storage, accelerating data retrieval, and ensuring clear data semantics. GE excels in the management of billions of runtime objects, regardless of their size, demonstrating remarkable efficiency. Even minor variations in object count can significantly impact performance, underscoring the importance of every byte. Moreover, GE offers rapid memory allocation and reallocation, achieving impressive memory utilization ratios that further enhance its capabilities. This makes GE not only efficient but also an invaluable tool for developers and data scientists working with large-scale data environments.
Description
SmokePing is an advanced tool designed for measuring latency with precision. It not only records and showcases latency, but also tracks latency distribution and packet loss metrics. Utilizing RRDtool, SmokePing effectively manages a long-term data archive and generates visually appealing graphs that provide real-time insights into the status of various network connections. You can interact with any graph in detail mode, enabling you to highlight specific areas of interest using the navigator graph. Furthermore, it allows for the display of information from numerous targets within a single graph. Through a centralized Smokeping Master node, multiple Slave nodes can be deployed, inheriting their configurations from the master, which facilitates the ability to ping a single target from diverse locations simultaneously. The tool now incorporates standard deviation in various instances to quantify the fluctuations in round trip times as represented by the smoke signals. SmokePing supports a broad range of probes, including basic ping, web requests, and even custom protocols, making it highly versatile. Additionally, its master/slave deployment model enhances the capability to conduct measurements from various sources concurrently, providing a comprehensive view of network performance.
API Access
Has API
API Access
Has API
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
Free
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Microsoft
Founded
1975
Country
United States
Website
www.graphengine.io
Vendor Details
Company Name
SmokePing
Country
United States
Website
oss.oetiker.ch/smokeping/
Product Features
Product Features
Network Monitoring
Bandwidth Monitoring
Baseline Manager
Diagnostic Tools
IP Address Monitoring
Internet Usage Monitoring
Real Time Analytics
Resource Management
SLA Monitoring
Server Monitoring
Uptime Monitoring
Web Traffic Reporting