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
About SparkGrid
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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Pricing
Starting Price:
$0.20/hour or $28.99
Pricing Details:
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 Trial:
Free Trial available.
Integrations
Company Information
Sparksoft Corporation
United States
sparksoftlabs.com/sparkgrid
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Product Details
Platforms Supported
Cloud
Linux
On-Premises
Training
Documentation
In Person
Support
Online
SparkGrid Frequently Asked Questions
SparkGrid Product Features
Data Preparation
Data Cleansing
Supported
Data Transformation
Supported
Visual User Interface
Supported
Collaboration Tools
Not Supported
Data Access
Not Supported
Data Blending
Not Supported
Data Governance
Not Supported
Data Mashup
Not Supported
Data Modeling
Not Supported
Machine Learning
Not Supported
