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What is Palantir Gotham?

Integrating, managing, securing, and analyzing all organizational data is essential for modern enterprises. Data represents a crucial asset for businesses, and its sheer volume is staggering. It encompasses both structured formats, like log files, spreadsheets, tables, and charts, as well as unstructured forms, including emails, documents, images, videos, and more. Often, this data is stored across various disconnected systems, leading to a proliferation of types and an escalating volume that complicates its usability over time. Users reliant on this data do not categorize their needs into rows, columns, or mere text; instead, they focus on their organization's objectives and the challenges they encounter. They seek the ability to pose questions about their data and receive insights in a context that resonates with them. The Palantir Gotham Platform offers a robust solution to this problem. By integrating and transforming diverse types of data into a unified asset, Palantir Gotham enhances and categorizes information into clearly defined entities, including objects, individuals, locations, and events, thereby facilitating more informed decision-making. Ultimately, this platform empowers organizations to navigate their data landscape more effectively.

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

Amazon S3
Bing
Contentful
Dropbox
Freshsales
JSON
Looker
Magento
MailerLite
Microsoft Excel
MongoDB
Palantir Foundry
Salesforce
Shoptet
Stamped
Trello
Trustpilot
WooCommerce
Xero
bexio

Integrations Supported

Amazon S3
Bing
Contentful
Dropbox
Freshsales
JSON
Looker
Magento
MailerLite
Microsoft Excel
MongoDB
Palantir Foundry
Salesforce
Shoptet
Stamped
Trello
Trustpilot
WooCommerce
Xero
bexio

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
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

Palantir Technologies

Date Founded

2003

Company Location

United States

Company Website

www.palantir.com/palantir-gotham/

Company Facts

Organization Name

Gigasheet

Date Founded

2020

Company Location

United States

Company Website

www.gigasheet.com

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

Qualitative Data Analysis

Annotations
Collaboration
Data Visualization
Media Analytics
Mixed Methods Research
Multi-Language
Qualitative Comparative Analysis
Quantitative Content Analysis
Sentiment Analysis
Statistical Analysis
Text Analytics
User Research Analysis

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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