Microsoft Excel Reviews & Product Details

The power of PivotTables and VLOOKUP (or XLOOKUP now) feels unmatched when it comes to handling large datasets and building financial models. I also really appreciate how quickly I can turn numbers into clear visuals with charts, especially when I’m preparing presentations for stakeholders. Review collected by and hosted on G2.com.

The learning curve for some of the more advanced “Power Pivot” features can be pretty steep. Also, when I’m working with extremely large files (millions of rows), the software can sometimes lag or even crash, especially if I’m not using a high-spec machine. Review collected by and hosted on G2.com.

I love how Excel makes managing benefits data so much easier. Whether I’m tracking enrollments or comparing plan costs, it lets me organize complex information into clear, easy-to-read reports that leadership can actually understand. Pivot tables and charts save me a lot of time and make it simple to spot trends, which is a huge win for me in HR. Review collected by and hosted on G2.com.

For HR benefits work, Excel can sometimes feel overly manual. While it’s a powerful tool, building complex formulas and keeping large spreadsheets updated can take a lot of time, and even a small mistake can throw off an entire report. Review collected by and hosted on G2.com.

What I like most about Microsoft Excel is how flexible it is for pretty much anything related to data. Whether it’s simple tracking or more detailed analysis, Excel handles it well.

Being in a payroll profession, I cant imagine my day without excel.In my day-to-day work, formulas and functions save a lot of time, especially things like VLOOKUP/XLOOKUP, pivot tables, and basic calculations.

And nowadays I am using Macro a lot,Instead of doing things manually, I can just set it up once and reuse it. Review collected by and hosted on G2.com.

One thing I don’t like about Microsoft Excel is that it can get really slow when you’re working with large datasets. Once the file becomes heavy with too many formulas, pivot tables, or multiple sheets, it tends to lag or even crash sometimes.

Also, managing complex formulas can be a bit frustrating. If someone else created the file, it takes time to understand what’s going on, especially if it’s not well structured Review collected by and hosted on G2.com.

What I like best about Microsoft Excel is its power and flexibility for complex data analysis. It offers advanced formulas, pivot tables, and strong performance when working with large datasets. Excel is also highly customizable, allowing some automation. Overall, it’s a very robust tool for deep analytical and financial work. Review collected by and hosted on G2.com.

Collaboration in Microsoft Excel can be limited and often leads to version conflicts when multiple people edit files. It’s not as convenient for real-time teamwork compared to cloud-native tools. Managing large shared files can also become messy and hard to track. Additionally, setup and access across teams is less seamless than in fully integrated platforms like Google Workspace. Review collected by and hosted on G2.com.

I mainly use Excel to organize and clean data, and it does the job without much hassle. Sorting, filtering, and basic formulas help me quickly make sense of messy data but now woth the help of AI Introduction, the work has become effortless.

The interface is familiar and easy to navigate once you’ve used it a bit. Performance is mostly smooth, even with larger files, though it can slow down sometimes.

It also integrates well with other Microsoft tools, which helps in day-to-day work.

It’s not perfect, but it’s reliable and gets the job done without overcomplicating things.

I don't beleive anyone needs any support for using sheets. Review collected by and hosted on G2.com.

One issue I face is performance -- Excel tends to slow down when working with large files or heavy formulas, which can be frustrating during time-sensitive work.

The UI is familiar but can feel a bit cluttered at times, especially when you’re trying to find less-used features. Also, collaboration isn’t always smooth compared to other tools -- sometimes version conflicts or sync delays happen.

It integrates well with Microsoft tools, but outside that ecosystem, things can feel a bit limited. Overall, it works, but there’s definitely room for improvement. Review collected by and hosted on G2.com.

What I like best about Microsoft Excel is its power to organize, analyze, and visualize data in one place.

It makes handling large amounts of data easy through formulas, pivot tables, charts, filters, and conditional formatting, which saves a lot of time and improves accuracy. I especially like how it can turn raw numbers into meaningful insights and reports quickly. For professional work, features like XLOOKUP, dynamic formulas, and dashboards are absolute game changers, i use it daily for my work.

Easly implemented for all my needs, Even we are integrating this with our database to automate our data.

Customer support also good. Review collected by and hosted on G2.com.

It is also prone to human error—a small mistake in a formula, wrong cell reference, or accidental overwrite can impact the entire sheet. Review collected by and hosted on G2.com.

I love that Excel acts as the ultimate universal translator between my messy experimental brainstorming and the rigid requirements of the Tecan Fluent. When I’m calculating media volumes or cell seeding densities, I can visually map out my plate layouts, which gives me a level of intuitive control that a raw text editor just can’t provide. The magic happens during that final conversion to CSV; I can strip away all the complex formulas and color-coding to hand the Fluent a perfectly clean, flat file for its liquid handling instructions. It serves as my primary safety checkpoint, allowing me to catch a decimal point error in a volume column before a single pipette tip ever touches a reagent. Ultimately, it’s the reliability of that workflow—turning biological logic into digital commands—that makes it my most essential tool in the lab. Review collected by and hosted on G2.com.

I often struggle with Excel’s habit of "helpfully" auto-formatting my reagent IDs into dates, which immediately crashes my Tecan Fluent import. I also find the lack of version control risky, as a single accidental keystroke in a volume cell can go unnoticed until a pipette tip crashes or a well overflows. When I save my layouts as CSVs, I lose all my safety formulas and color-coding, meaning any last-minute tweaks require a complete and tedious rebuild of the file. Ultimately, it’s a constant battle to ensure that what I see on my screen perfectly matches the rigid data structure the liquid handler demands. Review collected by and hosted on G2.com.

I like Microsoft excel because of its exciting features, and how can I say that they are so good because its been nearly 6 years I am using it, I am currently in college third year and I am using it since my class 11th, I like the features like organizing my class data since I am a coordinator, sometimes I make mistake for names then if i want to replace that particular word I can simply search that word and replace it everywhere and also it have features like formula where I can simply apply filter out peoples and it is so much beginner friendly anyone can easily use it. Microsoft excel is very easy to implement in my everyday class tasks it helps me organizing data and analyze them, and it is so much easy to integrate with other apps like Word, PowerPoint or outlook and talking about its customer support it is top notch I don't have that much complaint but twice or thrice i have received customer support within 1-2 days Review collected by and hosted on G2.com.

The only thing I don't like is that sometimes i have to work with very large dataset for my college and it starts lagging and if i have to analyze large dataset its response becomes slow Review collected by and hosted on G2.com.

It provides me with built-in formulas and functions that I personally use to make my internship logs. Basically, I am a student at GLS University, and my friend makes a daily sales report. He was a sales person and he uses MS Excel very well, so I learned many things from him. Review collected by and hosted on G2.com.

While Excel is very powerful, there are a few areas where it could be improved. These issues mainly affect efficiency when working on larger or more complex tasks. For example, Excel can slow down or lag when handling very large datasets or when a workbook relies on complex formulas. Review collected by and hosted on G2.com.

I love the most about Excel is its incredible versatility. I have used XLOOKUP way too much to fix my data and other custom functions to refine and repurpose the data. The next amazing features that allow me to fulfil my role as a social media manager is the pivot tables that helped me decode our pivot table. With millions of fans worldwide, I use them to instantly aggregate our engagement data across multiple platforms and develop visualizations using excel charts. Review collected by and hosted on G2.com.

For me, the immediate downside I have felt is when I want to print the data for the reference purposes. It always occurs to me that the tables or the charts go out of the bound then it makes me scratch my head for hours to fix it make it get together.

The other downside is that the theme and the aesthetics are so old school. For the brand we are, we want some vibrancy but it lacks that alot.

Lastly the steep learning curve.. I had to spend months in courses to utilize the excel correctly and I still find alot things here and there that i still dont fully understand. Review collected by and hosted on G2.com.