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What is SQL Data Analysis?

Leverage SQL queries to draw data sets from your databases for in-depth analysis. By using tables and pivot tables, you can examine these data sets to uncover new patterns and trends based on your results. Effectively share your findings by creating PDF reports or exporting the data into formats such as Excel, HTML, and XML. This process allows for quick and efficient acquisition of actionable insights from your SQL data sets. You can easily sort, filter, group, and summarize your SQL data according to your needs, which provides flexibility in the arrangement of columns based on your preferences. This functionality not only aids in summarizing data but also plays a crucial role in discovering new insights and information. You have the capability to generate multiple summaries for individual columns with various functions, which can be displayed in group headers, footers, or column footers. Furthermore, you can emphasize significant values through customizable rules and formulas, enhancing your data's visual impact. Organize your data by sorting one or multiple columns either in ascending or descending order as required, and use filters to focus solely on the relevant information you want to analyze. Ultimately, this method promotes a more personalized and insightful investigation of your data, leading to enhanced decision-making and strategic planning.

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
MySQL
PostgreSQL
ActiveCampaign
Amazon Cognito
Google Ads
Google Cloud Firestore
Google Search Console
Intercom
Invoiced
Kantata
Klaviyo
Mailchimp
Mailgun
Mixpanel
Pipedrive
SQL
Salesforce Marketing Cloud Account Engagement
Statflo
X Ads (Twitter Ads)

Integrations Supported

Microsoft Excel
MySQL
PostgreSQL
ActiveCampaign
Amazon Cognito
Google Ads
Google Cloud Firestore
Google Search Console
Intercom
Invoiced
Kantata
Klaviyo
Mailchimp
Mailgun
Mixpanel
Pipedrive
SQL
Salesforce Marketing Cloud Account Engagement
Statflo
X Ads (Twitter Ads)

API Availability

Has API

API Availability

Has API

Pricing Information

$45 one-time payment
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

Yohz Software

Company Location

Malaysia

Company Website

www.yohz.com/sda_details.htm

Company Facts

Organization Name

Gigasheet

Date Founded

2020

Company Location

United States

Company Website

www.gigasheet.com

Categories and Features

Database

Backup and Recovery
Creation / Development
Data Migration
Data Replication
Data Search
Data Security
Database Conversion
Mobile Access
Monitoring
NOSQL
Performance Analysis
Queries
Relational Interface
Virtualization

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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