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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
Examine, categorize, and concentrate on the effectiveness of your organization’s business processes. Gain insights into the behaviors that influence customer and user interactions with these processes, as well as how these execution patterns affect financial outcomes. Empower any member of your organization to swiftly analyze and enhance business operations without having to wait for IT to develop a data warehouse, data mart, or customized data model. With a unified platform, users can access visual representations and analyses of business data through an easy-to-navigate graphical interface, allowing for quick, data-driven decisions to mitigate potential process issues that could impact customers negatively. The innovative MapAggregate technology merges the rapidity of in-memory processing with the extensibility of a distributed in-memory architecture, enabling you to surpass the limitations of a single server by utilizing the memory and CPU resources available across any physical or virtual server, thus optimizing your operational efficiency even further. This comprehensive approach enhances overall organizational agility and responsiveness in the face of evolving market demands.
API Access
Has API
API Access
Has API
Integrations
Base64.ai
DataServ
SAP Store
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
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
Tungsten Automation
Founded
1985
Country
United States
Website
www.tungstenautomation.com/products/insight
Product Features
Product Features
Business Intelligence
Ad Hoc Reports
Benchmarking
Budgeting & Forecasting
Dashboard
Data Analysis
Key Performance Indicators
Natural Language Generation (NLG)
Performance Metrics
Predictive Analytics
Profitability Analysis
Strategic Planning
Trend / Problem Indicators
Visual Analytics
