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What is Style Scope?

Style Scope, created by InetSoft, is a cutting-edge dashboard application tailored for real-time reporting and visual data assessment. With its powerful and flexible data analytics engine, Style Scope allows users to integrate data in a modular, Lego-like fashion, while encouraging comprehensive business data exploration. This platform features sophisticated interactive dashboarding and analytical capabilities through Style Intelligence, making it an outstanding option for businesses as well as an ideal OEM component for developers. Additionally, Style Scope empowers data scientists and advanced users to independently access and manipulate essential data without relying on IT support, significantly boosting their efficiency and autonomy in making data-informed decisions. By leveraging this tool, organizations can fully tap into the potential of their data assets, driving innovation and growth across various sectors. Ultimately, this functionality positions Style Scope as a vital resource for effective data management and analysis in today's fast-paced business environment.

What is Google Cloud Datalab?

Cloud Datalab serves as an intuitive interactive platform tailored for data exploration, analysis, visualization, and machine learning. This powerful tool, created for the Google Cloud Platform, empowers users to investigate, transform, and visualize their data while efficiently developing machine learning models. Utilizing Compute Engine, it seamlessly integrates with a variety of cloud services, allowing you to focus entirely on your data science initiatives without unnecessary interruptions. Constructed on the foundation of Jupyter (formerly IPython), Cloud Datalab enjoys the advantages of a dynamic ecosystem filled with modules and an extensive repository of knowledge. It facilitates the analysis of data across BigQuery, AI Platform, Compute Engine, and Cloud Storage, using Python, SQL, and JavaScript for user-defined functions in BigQuery. Whether your data is in the megabytes or terabytes, Cloud Datalab is adept at addressing your requirements. You can easily execute queries on vast datasets in BigQuery, analyze local samples of data, and run training jobs on large datasets within the AI Platform without any hindrances. This remarkable flexibility makes Cloud Datalab an indispensable tool for data scientists who seek to optimize their workflows and boost their productivity, ultimately leading to more insightful data-driven decisions.

Media

Media

Integrations Supported

DataLab
Google Cloud Platform
Google Workspace
Jupyter Notebook

Integrations Supported

DataLab
Google Cloud Platform
Google Workspace
Jupyter Notebook

API Availability

Has API

API Availability

Has API

Pricing Information

$500.00/one-time
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

InetSoft

Date Founded

1996

Company Location

United States

Company Website

www.inetsoft.com

Company Facts

Organization Name

Google

Date Founded

1998

Company Location

United States

Company Website

cloud.google.com/datalab

Categories and Features

Data Visualization

Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery

Categories and Features

Data Analysis

Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics

Data Visualization

Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

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