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What is ZingGrid?

ZingGrid comes equipped with integrated features for calculating aggregates such as average, count, minimum, maximum, and total for designated columns, with the results beautifully displayed in a single row at the bottom of the grid. While data tables can present significant challenges for website accessibility, ZingGrid simplifies the process by enabling the creation of interactive data grids that comply with the leading three accessibility standards endorsed by the #a11y community. The design of ZingGrid emphasizes performance, integrating vital features like Infinite Scroll, Server Paging, Server-Side Rendering, and customizable Styling to guarantee that data is presented efficiently. Moreover, ZingGrid showcases exceptional adaptability regarding data input, permitting the use of various Data Types and Data Attributes to further enrich your grids. This level of customization empowers users to configure their data display according to their unique requirements and preferences, making ZingGrid an excellent option for a wide range of applications. Furthermore, the user-friendly interface ensures that even those with limited technical knowledge can leverage its powerful features effectively.

What is SparkGrid?

SparkGrid by Sparklabs is a comprehensive data management platform designed to simplify and enhance interaction with the Snowflake cloud data platform through a familiar tabularized spreadsheet-style interface. By bridging the gap between visual data manipulation and SQL query generation, SparkGrid enables users—regardless of their technical background—to perform complex database management tasks with ease and confidence. The platform supports multi-field editing, allowing users to edit multiple cells simultaneously, and provides live SQL statement previews to maintain transparency and control over changes. Its intuitive GUI facilitates smooth navigation, selection, and manipulation of tables, rows, and columns without requiring users to write extensive code. SparkGrid incorporates robust built-in error handling and security measures to ensure data integrity, prevent unauthorized access, and protect sensitive information. It promotes universal accessibility, democratizing advanced Snowflake data management capabilities to diverse teams across organizations. Available on AWS Marketplace, SparkGrid offers easy cloud deployment and integration within existing workflows. By enabling direct database interaction in a secure and user-friendly environment, SparkGrid empowers businesses to accelerate data-driven decision-making and innovation. The platform is ideal for teams seeking to optimize productivity while reducing reliance on specialized technical staff. Overall, SparkGrid transforms complex data management into an accessible, efficient, and secure process for Snowflake users.

Media

Media

Integrations Supported

MySQL
PostgreSQL
Snowflake

Integrations Supported

MySQL
PostgreSQL
Snowflake

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$0.20/hour
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

Zingsoft

Date Founded

2018

Company Location

United States

Company Website

www.zinggrid.com

Company Facts

Organization Name

Sparksoft Corporation

Company Location

United States

Company Website

sparksoftlabs.com/sparkgrid

Categories and Features

Data Visualization

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

Categories and Features

Data Preparation

Collaboration Tools
Data Access
Data Blending
Data Cleansing
Data Governance
Data Mashup
Data Modeling
Data Transformation
Machine Learning
Visual User Interface

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