RATHKanaries Data
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Style ScopeInetSoft
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Related Products
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About
RATH is beyond an open-source alternative to Data Analysis and Visualization tools such as Tableau. It automates your Exploratory Data Analysis workflow with an Augmented Analytic engine and auto generate multi-dimensional data visualization.
Features:
🤖 Mega-auto exploration: Augmented analytic engine for discovering patterns, insights, and causals. A fully-automated way to explore and visualize datasets with one click.
👓 Data Wrangler: Automated data wrangler for generating a summary of the data and data transformation.
🛠 Semi-auto exploration: Never get lost again in Data Exploration. RATH progressively recommends your directions for Data Exploration.
🎨 Data painter: Having complex visual patterns that are difficult to grasp? Use Data Painter to instantly identify and get automatic explanations.
📊 Dashboard: build a beautiful interactive data dashboard
🚧 Causal Analysis: Provide causal discovery and explanations for complex relation analysis.
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About
Style Scope by InetSoft is an interactive dashboard software solution for real-time reporting and visual analysis. Powered by a powerful and versatile data analytics engine, Style Scope enables data mashup in a Lego-like block fashion as well as allows business data exploration. The solution provides cutting-edge interactive dashboarding and analysis capabilities of Style Intelligence, making this an ideal solution for enterprises and the perfect embeddable OEM component for solution providers. By leveraging Style Scope, data scientists and power users have the ability to work with whatever data they need without relying on IT.
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Supported
Mac
Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Supported
iPad
Supported
Android
Supported
Chromebook
Not Supported
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Audience
Data Scientists, Data Analysts, BI Users
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Audience
Style Scope by InetSoft serves any business with 100 employees or more. The solution is also ideal for solution providers with a web-based application.
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Not Supported
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Support
Phone Support
Supported
24/7 Live Support
Supported
Online
Supported
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API
Offers API
Not Supported
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API
Offers API
Not Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Supported
Free Trial
Not Supported
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Pricing
$500.00/one-time
Free Version
Not Supported
Free Trial
Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Training
Documentation
Supported
Webinars
Supported
Live Online
Supported
In Person
Supported
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Company InformationKanaries Data
Founded: 2019
kanaries.org
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Company InformationInetSoft
Founded: 1996
United States
www.inetsoft.com
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Categories |
Categories |
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Data Visualization Features
Analytics
Supported
Content Management
Not Supported
Dashboard Creation
Supported
Filtered Views
Not Supported
OLAP
Not Supported
Relational Display
Supported
Simulation Models
Not Supported
Visual Discovery
Supported
Data Analysis Features
Data Discovery
Supported
Data Visualization
Supported
High Volume Processing
Not Supported
Predictive Analytics
Supported
Regression Analysis
Not Supported
Sentiment Analysis
Not Supported
Statistical Modeling
Not Supported
Text Analytics
Not Supported
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Data Visualization Features
Analytics
Supported
Content Management
Not Supported
Dashboard Creation
Supported
Filtered Views
Supported
OLAP
Supported
Relational Display
Supported
Simulation Models
Supported
Visual Discovery
Supported
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Integrations
Airtable
Supported
Amazon Athena
Supported
Amazon Redshift
Supported
Apache Hive
Supported
Apache Kylin
Supported
ClickHouse
Supported
Impala
Supported
MySQL
Supported
PostgreSQL
Supported
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Integrations
Airtable
Not Supported
Amazon Athena
Not Supported
Amazon Redshift
Not Supported
Apache Hive
Not Supported
Apache Kylin
Not Supported
ClickHouse
Not Supported
Impala
Not Supported
MySQL
Not Supported
PostgreSQL
Not Supported
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