SparkGridSparksoft Corporation
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ZingGridZingsoft
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Related Products
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About
SparkGrid is a user-friendly data management tool that simplifies communication with Snowflake by offering a tabularized interface similar to standard spreadsheet applications. It allows users to perform complex data tasks without needing extensive technical knowledge, making Snowflake more accessible. SparkGrid supports multi-field editing, SQL statement previews, and built-in error handling and security features to ensure data integrity. The intuitive graphical user interface enables easy navigation, selection, and manipulation of data such as adding or removing rows and columns. By bridging the gap between visual data management and SQL queries, SparkGrid empowers teams to work efficiently. It is designed to enhance productivity and democratize access to Snowflake’s powerful data capabilities.
Available both AWS's marketplace and Microsoft's App Store, just search "Sparkgrid in either Marketplace"
Or contact us for custom implementation options.
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About
ZingGrid has default behaviors for calculating the average, count, min, max, and sum values for a given column. These aggregation values are displayed in a single row at the base of the grid. Data tables often are the least accessible part of a site. With ZingGrid, you won't have to think twice about it. Build interactive data grids that follow the three biggest accessibility standards in the #a11y community. ZingGrid had performance in mind while developing. Several key features can help you render data more quickly to the screen, including Infinite Scroll, Server Paging, Server-Side Rendering, and Styling. ZingGrid is very flexible in the ways you can input data into a grid. Add your data via Data Types, Data Attributes.
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Supported
Cloud
Supported
On-Premises
Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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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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Audience
SparkGrid is ideal for business analysts, data managers, and teams using Snowflake who want a simple, secure, and efficient spreadsheet-like interface to manage complex data without deep technical expertise
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Audience
Developers in need of a JavaScript web component library to include interactive data tables in their web applications
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
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
$0.20/hour or $28.99
Sparkgrid is available on AWS's Marketplace, at $0.20/hour. (So, if you choose to run 24X7 for a year it would cost an entire team $1750 to license Sparkgrid, however most customers license access more cost effectively by managing server up times. Or you can purchase a single PC user license from Microsoft's App Store for $28.99
Free Version
Not Supported
Free Trial
Supported
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Pricing
No information available.
Free Version
Supported
Free Trial
Not 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
Supported
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Company InformationSparksoft Corporation
United States
sparksoftlabs.com/sparkgrid
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Company InformationZingsoft
Founded: 2018
United States
www.zinggrid.com
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Categories |
Categories |
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Data Preparation Features
Collaboration Tools
Not Supported
Data Access
Not Supported
Data Blending
Not Supported
Data Cleansing
Supported
Data Governance
Not Supported
Data Mashup
Not Supported
Data Modeling
Not Supported
Data Transformation
Supported
Machine Learning
Not Supported
Visual User Interface
Supported
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Data Visualization Features
Analytics
Supported
Content Management
Supported
Dashboard Creation
Supported
Filtered Views
Supported
OLAP
Supported
Relational Display
Supported
Simulation Models
Not Supported
Visual Discovery
Supported
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Integrations
MySQL
Not Supported
PostgreSQL
Not Supported
Snowflake
Not Supported
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