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What is Tom Sawyer Perspectives?

Tom Sawyer Perspectives is an extensive platform that enables the development of sophisticated graph and data visualization applications specifically designed for enterprise requirements. This integrated graph visualization software development kit (SDK) boasts a user-friendly graphics-based design and preview interface. By effectively linking to multiple enterprise data sources, the platform utilizes robust graph visualization, layout, and analytical technologies to address the complexities associated with big data. With Tom Sawyer Perspectives, developers can streamline the creation of high-quality, data-focused visualization applications that are ready for implementation. The application development process is supported by two primary graphical modules: the Designer and Previewer, which aid in visualizing and analyzing the distinctive data needs of each project. In the Designer module, developers are empowered to extract or create schemas, data sources, bindings, rules, views, filters, and search capabilities. Additionally, the Designer provides options for customizing toolbars, tooltips, context menus, and specific graphical behaviors for better data viewing and editing, which significantly boosts user engagement. Collectively, these features equip developers with all the essential tools needed to construct advanced applications that cater to a wide range of analytical demands, ultimately fostering innovation within enterprise environments.

What is DataWalk?

DataWalk's enterprise-grade intelligence analysis platform enables users to swiftly derive actionable insights from vast and varied datasets, both external and internal. By integrating all of your internal databases, spreadsheets, and public records with social media data, DataWalk creates a comprehensive intelligence database. This database centers around pertinent concepts such as individuals, criminal activities, and significant events rather than being limited to specific systems or sources. The platform's scalability is remarkable; simply adding more servers to a DataWalk cluster accommodates increasing data volumes with ease. Users can conveniently access all their data in one centralized location through a user-friendly web interface, facilitating collaboration in investigations for both office staff and field teams. Moreover, analysts benefit from an extensive array of tools and functionalities designed for advanced intelligence analysis. Ultimately, DataWalk empowers organizations to make well-informed decisions based on thorough data insights.

Media

Media

Integrations Supported

AWS Marketplace
Amazon Neptune
MongoDB
MySQL
OrientDB
SAP HANA

Integrations Supported

AWS Marketplace
Amazon Neptune
MongoDB
MySQL
OrientDB
SAP HANA

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
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

Tom Sawyer Software

Date Founded

1992

Company Location

United States

Company Website

www.tomsawyer.com/perspectives/

Company Facts

Organization Name

DataWalk

Date Founded

2016

Company Location

United States

Company Website

datawalk.com

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

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

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