Get MySQL data to Google Sheets

Easily automate and extract MySQL data to Google Sheets, simplifying data processing, visualization, integration with other sources, and collaboration with your team.

Why connect MySQL to Google Sheets

Get an up-to-date status of your database

Get an up-to-date status of your database

Import all necessary information from MySQL such as tables, fields, and query results directly into Google Sheets. This will give you an instant access to the current status of your database. Help in maintaining the sanity of your data, streamline your storage capabilities and save server costs.

Automate the production of important data reports

Automate the production of important data reports

By linking MySQL with Google Sheets, you can automate the generation of your critical data reports. Harness past data to forecast your database growth, schedule routine maintenance, and formulate key strategies to optimize your database performance.

Merge MySQL data with external sources

Merge MySQL data with external sources

Import MySQL data into Google Sheets and combine it with information from other sources like marketing campaign data, website analytics, customer behavior data, and more. Gives you a comprehensive view of how different aspects of your business are performing and how they are interconnected. This insight could be particularly useful for your BI and Data Science teams for a better understanding of overall business operations.

MySQL to Google Sheets : what to export

Export all important MySQL Metrics and Dimensions for analysis in Google Sheets

Get Insights from MySQL tables

Get Insights from MySQL tables

You can extract valuable insights from various data sets stored in MySQL tables. By analyzing data such as sales, revenue, expenses, inventory, customer behavior, marketing analytics, employee attendance, and payroll, you can identify trends, patterns, and areas for improvement. Additionally, monitoring financial and operational data can provide insights into the overall health of your business and help you make data-driven decisions to optimize your operations, improve customer satisfaction, and drive revenue growth. By utilizing MySQL tables for data analysis, you can gain a comprehensive view of your business and make informed decisions, regardless of the industry you're in.

Sales and Revenue Reporting

Sales and Revenue Reporting

You can extract valuable insights from various data sets stored in MySQL tables for sales and revenue reporting. By analyzing sales data that includes order date, order ID, customer ID, product ID, quantity, and total price, you can identify top-selling products, popular purchasing times, and customer behavior patterns. Additionally, monitoring revenue data can provide insights into the financial health of your business and identify areas for growth or improvement.

Financial Reporting

Financial Reporting

You can extract insights from financial data sets that include expenses, revenue, and cash flow stored in separate tables within the MySQL database. Analyzing expenses data that includes date, category, description, and amount, can help identify areas where costs can be reduced or optimized. Monitoring revenue data that includes date, customer ID, product ID, and total revenue, can provide insights into the effectiveness of marketing and sales strategies. You can also track cash flow data to identify cash shortages and plan for future investments.

Marketing Analytics

Marketing Analytics

By utilizing MySQL tables for marketing analytics, you can extract insights from data sets that include website visits, ad clicks, conversions, and customer engagement. Analyzing website visit data that includes date, user ID, page visited, and referral source can help you identify popular pages, user behavior, and areas for website optimization. Tracking ad clicks data that includes date, user ID, ad ID, and landing page, can provide insights into the effectiveness of ad campaigns and help optimize ad spend. Additionally, tracking conversion data can help identify customer behavior patterns and areas for improving the sales funnel.

Inventory Management

Inventory Management

To better manage your inventory, you can extract insights from MySQL tables that store data on product sales, stock levels, and product information. Analyzing product sales data that includes date, product ID, quantity sold, and total revenue, can help you identify top-selling products and optimize inventory levels. By tracking stock levels data, you can prevent stockouts and overstocking. You can also monitor product information data to optimize product offerings and improve customer satisfaction.

Customer Support

Customer Support

You can extract insights from MySQL tables that store data on customer support tickets, response times, and customer satisfaction. Analyzing customer support ticket data that includes date, user ID, ticket ID, and ticket status, can help you identify areas for improvement in customer service. Monitoring response times data can help improve customer satisfaction and reduce churn. Tracking customer satisfaction data that includes date, user ID, satisfaction score, and feedback, can help you identify areas for improvement in products or services.

Human Resources

Human Resources

Extract insights from MySQL tables that store data on employee attendance, payroll, and performance reviews to better manage your human resources. Analyzing employee attendance data that includes date, employee ID, and attendance status, can help you identify areas for improvement in employee engagement and productivity. Monitoring payroll data that includes date, employee ID, pay period, and total pay, can help ensure accurate and timely employee compensation. You can also track performance review data that includes employee ID, review date, and review score, to identify top-performing employees and areas for improvement in employee performance.

How to export MySQL to Google Sheets & automate it

Google Sheets
Step 1

Install Two Minute Reports (TMR) for Google Sheets

Open Google Sheets and install Two Minute Reports from the add-ons menu. No credit card required.

Step 2

Connect your MySQL with Two Minute Reports

Open TMR add-on and select Data Source from the menu button. Click Add and add your new MySQL data source

Step 3

Select the MySQL data you need

Open the Queries menu and create a new query. Select the MySQL data source you added along with the MySQL metrics and dimensions you want.

Step 4

Automate Schedules to MySQL export to Google Sheets

Create a new schedule to automatically fetch live data from MySQL at periodic intervals. You can even send emails, PDFs or Excel sheets on schedule.

Step 5

Skip steps and jump start MySQL with Templates

Instead of creating a report from scratch use our premade MySQL templates below and get started in no time

Start using these quick templates Now

Automate MySQL to Google Sheets export & do more with Two Minute Reports

Two Minute Reports for Google Sheets has these features for you

Ease of Use

Ease of Use

Two Minute Reports is designed to be user-friendly and easy to navigate. With its intuitive interface, you can quickly generate reports and track your marketing campaigns without the need for extensive training or technical knowledge.

Battle tested by Millions of Users

Battle tested by Millions of Users

By working with BI platforms developed with Billions of Investment by Google - like Google Sheets and Looker Studio, Two Minute Reports provides robust capabilities and a secure infrastructure for your Reporting

Data Integration and more

Data Integration and more

Two Minute Reports integrates with MySQL and over 30+ Marketing platforms so that you can analyse and visualize your data in the BI platform of your choice.

Why use Two Minute Reports to import MySQL data to Google Sheets

Marketers know how critical it is for a business to correctly measure the performance of ad campaigns. Using standard MySQL tools, the in-line performance analytics are pretty straightforward. But things can change if you need to analyse custom metrics over an extended period. Generic MySQL dashboard tools are simply not intended for more detailed analysis that includes customizing filters and analysing the performance of multiple campaigns from multiple accounts. That is where Two Minute Reports steps in. Its MySQL to Google Sheets integration allows you to automate the process of extracting data from Ads on a custom schedule. You can merge data on multiple campaigns and ads in a single sheet, applying all the powerful tools Google provides. These include pivot tables, graph visualization, formulas, and team sharing capabilities.

MySQL

MySQL

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Google Sheets

Google Sheets

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Manage, Share, Analyze

Do more with Google Sheets + MySQL

With Two Minute Reports, you can get MySQL data in Google Sheets and also merge it with other Advertising data from platforms like Firebase - Cloud Firestore, MySQL, MariaDB, PostgreSQL. Not just that, you can also get data from different types of Mobile, Database, Advertising (PPC), Web Analytics, SEO, E-Commerce, Other sources, Social Media, Email, Customer relationship management Data Sources.

cfs

Firebase - Cloud Firestore

mysql

MySQL

mariadb

MariaDB

psql

PostgreSQL

Get MySQL data in other tools too

We also help get your Google Sheets to the following Tools

Looker Studio

Looker Studio

Two Minute Reports for Google Sheets helps you to get your MySQL data to Google Sheets. You can not just analyse data you do much more there. By running on top of Google Sheets, we support a range of customization options, including the ability to create custom formulas and functions, unlimited formatting and sharing capabilities, Google Sheets has a friendly interface that many of us are familiar with. Spreadsheets are easier to handle when you are looking at a lot of Data and you dont have to learn a new tool.

Connect other Ad Platform Data Sources with Google Sheets

You can combine data from other Ad data sources with your MySQL Reports

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Firebase - Cloud Firestore

Firebase - Cloud Firestore

Cloud-based NoSQL database for mobile and web development.

MySQL

MySQL

Open-source relational database management system.

MariaDB

MariaDB

Open-source relational database management system, a fork of MySQL.

PostgreSQL

PostgreSQL

Open source object-relational database management system.

Connect other Marketing Channels with Google Sheets

You can combine MySQL data with not just Ad Platforms but also with other Platforms too

Mobile

Mobile

The category includes Data Sources like the Apple App Store and Google Playstore. That have information on apps that are provided to the data sources.

Database

Database

The category includes SQL based data sources connectors such as Cloud Firestore, MariaDB, MySQL, Postgre SQL.

Advertising (PPC)

Advertising (PPC)

This falls in the advertising category, more evidently Pay Per Click Connectors, for Facebook Ads, Google Ads, Snapchat Ads, LinkedIn Ads, TikTok Ads and Miicrosoft Ads

Web Analytics

Web Analytics

Data Sources like Google analytics, that analyzes the behaviour of visitors to a web site, falls in this category.