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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Sparksee, which was previously referred to as DEX, optimizes both space and performance while maintaining a compact design that enables swift analysis of extensive networks. It supports a wide range of programming languages including .Net, C++, Python, Objective-C, and Java, making it versatile across various operating systems. The graph data is efficiently organized using bitmap data structures, achieving significant compression ratios. These bitmaps are divided into chunks that align with disk pages, enhancing input/output locality for better performance. By leveraging bitmaps, computations are executed using binary logic instructions that facilitate efficient processing in pipelined architectures. The system features complete native indexing, which ensures rapid access to all graph data structures. Node connections are also encoded as bitmaps, further reducing their storage footprint. Advanced I/O strategies are implemented to minimize the frequency of data pages being loaded into memory, ensuring optimal resource usage. Each unique value in the database is stored only once, effectively eliminating unnecessary redundancy, and contributing to overall efficiency. This combination of features makes Sparksee a powerful tool for handling large-scale graph data analyses.

Description

Value Boxes serve as a valuable feature for smaller datasets where understanding the precise values is crucial. When activated, each node displays its corresponding value prominently near it. However, for slightly larger datasets where displaying value boxes on every node could lead to visual clutter, tooltips provide a convenient way to access a node's value as needed. In cases where tooltips do not provide enough detail, crosshairs offer a straightforward method for exploring a range of values. For extremely large datasets, where discerning a node's value requires significant zoom, the option to magnify specific points alleviates the strain of trying to focus. Additionally, incorporating scroll bars enhances the overall navigation experience. The preview window not only helps users track their current zoom level but also serves as a tool to adjust the scroll position efficiently. This combination of features ensures that users can interact with data effectively, regardless of the dataset's size.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

$249 one-time payment
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

Sparsity Technologies

Founded

2010

Country

Spain

Website

sparsity-technologies.com

Vendor Details

Company Name

ZingChart

Website

www.zingchart.com

Product Features

Product Features

Data Visualization

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

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