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What is Luminal?

Luminal enables users to leverage Python's power for managing spreadsheets without the usual complexities. With natural language commands, users can effortlessly clean, transform, or analyze large datasets. Anything that can be accomplished with Python is within Luminal's reach as well. You can perform sophisticated data cleaning tasks, ask complex questions, and create impressive visualizations with ease. Instead of dealing with the tedious process of manually sifting through data in Excel or writing Python scripts, let Luminal manage it efficiently, allowing you to focus on more important tasks. At Luminal, safeguarding our clients' data is a top priority, and we strictly adhere to high security standards. Protecting customer information is not merely a guideline; it is a core principle of our organization. We are dedicated to offering a seamless user experience while ensuring comprehensive security for all data processed on our platform. This commitment to security is evident in every feature we provide, making Luminal a reliable choice for data management tasks.

What is Gigasheet?

Gigasheet is an innovative big data spreadsheet that eliminates the need for setup, training, or coding expertise, allowing users to delve into large datasets without requiring SQL or Python knowledge or any IT infrastructure. This user-friendly platform democratizes access to big data insights for individuals who may not have a data science background, and the best part is that users can start with their first 3GB at no cost! With thousands of users and teams leveraging Gigasheet, insights that once took hours or days can now be obtained in just minutes, making it an invaluable tool for anyone familiar with spreadsheets. The platform also features intuitive sharing and collaboration tools that simplify the process of distributing large data sets. Additionally, Gigasheet seamlessly integrates with over 135 SaaS platforms and databases, enhancing its versatility and efficiency for users across various sectors.

Media

Media

Integrations Supported

Microsoft Excel
Python
Amazon Ads
Amazon Cognito
Asana
Facebook Ads
Google Cloud Storage
Help Scout
HubSpot Customer Platform
IBM Db2
Invoiced
Iterable
JSON
Microsoft Azure
NetSuite
PersistIQ
Snapchat
X Ads (Twitter Ads)
Zoom
bexio

Integrations Supported

Microsoft Excel
Python
Amazon Ads
Amazon Cognito
Asana
Facebook Ads
Google Cloud Storage
Help Scout
HubSpot Customer Platform
IBM Db2
Invoiced
Iterable
JSON
Microsoft Azure
NetSuite
PersistIQ
Snapchat
X Ads (Twitter Ads)
Zoom
bexio

API Availability

Has API

API Availability

Has API

Pricing Information

$16 per user per month
Free Trial Offered?
Free Version

Pricing Information

$95 per month
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

Luminal

Date Founded

2021

Company Location

United Kingdom

Company Website

getluminal.com

Company Facts

Organization Name

Gigasheet

Date Founded

2020

Company Location

United States

Company Website

www.gigasheet.com

Categories and Features

Spreadsheet

Analytics
Audit Trail
Calculators
Charting
Multi-User Collaboration
Templates

Categories and Features

Big Data

Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates

Data Analysis

Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics

Spreadsheet

Analytics
Audit Trail
Calculators
Charting
Multi-User Collaboration
Templates

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