The New Standard: Why Google Sheets Is Outperforming Excel
Google Sheets has moved well past lightweight web alternative. Here is why it now outperforms Excel for collaboration, big data, AI, and automation.

In this essay
The New Standard: Why Google Sheets Is Outperforming Excel
Excel established the spreadsheet as a central tool of office work, with a desktop model suited to local data processing. As more work has moved into shared cloud environments, Google Sheets has become a more capable choice for the collaboration, automation, and analysis that many teams do every day.
Excel retains a strong place in large offline financial models. My preference for Sheets comes from the way it brings people, data, and connected tools into the same working environment. The advantages are easiest to see in the everyday work of a team.
1. Working in the Same File
Excel’s move from desktop files to co-authoring through OneDrive can introduce familiar difficulties: version conflicts, locked cells, and synchronization problems. Each interruption takes attention away from the work the group came together to do.
Sheets was built around a shared online file. Dozens of people can edit from Macs, PCs, and mobile devices, with changes appearing as they work. That arrangement makes collaboration feel like an ordinary part of using a spreadsheet.
The G2 comparison cited here reports a 94% ease-of-use score for Google Workspace and 88% for Excel. (G2 Software Reviews)
2. Working with Larger Datasets
Excel’s million-row capacity has long been a point of comparison. Large amounts of data can also put pressure on a browser-based sheet, which is where Connected Sheets changes the working arrangement.
Connected Sheets links a spreadsheet to BigQuery in Google Cloud, allowing data at petabyte scale to remain in the warehouse. Sheets becomes the place to work with that source through pivot tables, charts, and formulas, reducing the amount that must be handled locally.
Keeping the underlying data in one live source also reduces the need to export and circulate large CSV files.
3. Gemini in the Spreadsheet
AI adds another consideration to the choice of spreadsheet. Copilot in Excel often depends on data arranged in table objects, and irregular or poorly organized inputs can make the work more difficult.
Gemini’s place within Sheets offers several ways to work with text, patterns, and analysis:
- AI formulas: Functions such as =AI() or =Gemini() bring text analysis into cells. They can be used to classify survey responses, assess sentiment, or clean inconsistent entries across many rows.
- The side panel: Gemini can help build charts, create dashboard tabs from selected columns, and draft more complex formulas. Its connection to the Google environment can bring context from Gmail and Drive into the work.
- Predictive Smart Fill: Recognizing a pattern in entered data allows the remaining entries to be filled more consistently, reducing repetitive work.
4. Automating the Work with Apps Script
Traditional Excel automation relies heavily on VBA, with limitations across desktop platforms and the web version. Those differences matter when a workflow has to serve a team using more than one kind of computer.
Google Apps Script uses JavaScript and runs in the cloud. It gives a spreadsheet a way to participate in a broader business process, and Gemini can help draft scripts for people who are less comfortable writing them. The useful question becomes which recurring steps are worth connecting.
Through its integration with Workspace, Apps Script can read information from a sheet, generate documents, and handle routine communications. Several manual steps can become one repeatable workflow.
5. Practical Workflows
These capabilities are useful in ordinary administrative work. A few examples show how Sheets and Apps Script can fit together:
- Status reporting: A script can gather information from several sources and send a daily email digest, sparing someone the work of compiling it each morning.
- Invoicing: Order details in a sheet can be placed into an invoice template, exported as a PDF, saved to Drive, and emailed to the customer on a daily schedule.
- Request tracking: Form submissions can feed a central sheet and trigger notifications to the people responsible, giving the team a shared record of each request.
Choosing for the Way You Work
For teams whose work depends on shared access, connected data, and cloud automation, I find Sheets the stronger fit. Excel continues to serve demanding financial modeling well. The choice becomes clearer when you consider how the file will be used, who needs to work in it, and how much of the process reaches beyond the spreadsheet.