Google Sheets is the spreadsheet app available on Google Workspace, or standalone, with a free plan for personal use and accessible via mobile apps for iOS and Android.
N/A
Microsoft BI (MSBI)
Score 9.0 out of 10
N/A
Microsoft BI is a business intelligence product used for data analysis and generating reports on server-based data. It features unlimited data analysis capacity with its reporting engine, SQL Server Reporting Services alongside ETL, master data management, and data cleansing.
$14
per month per user
Pricing
Google Sheets
Microsoft BI (MSBI)
Editions & Modules
No answers on this topic
Power BI Pro
$14
per month per user
Power BI Premium
$24
per month per user
Offerings
Pricing Offerings
Google Sheets
Microsoft BI (MSBI)
Free Trial
No
No
Free/Freemium Version
No
Yes
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
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More Pricing Information
Community Pulse
Google Sheets
Microsoft BI (MSBI)
Features
Google Sheets
Microsoft BI (MSBI)
BI Standard Reporting
Comparison of BI Standard Reporting features of Product A and Product B
Google Sheets
-
Ratings
Microsoft BI (MSBI)
9.5
50 Ratings
15% above category average
Pixel Perfect reports
00 Ratings
9.543 Ratings
Customizable dashboards
00 Ratings
9.450 Ratings
Report Formatting Templates
00 Ratings
9.548 Ratings
Ad-hoc Reporting
Comparison of Ad-hoc Reporting features of Product A and Product B
Google Sheets
-
Ratings
Microsoft BI (MSBI)
9.6
50 Ratings
18% above category average
Drill-down analysis
00 Ratings
9.545 Ratings
Formatting capabilities
00 Ratings
9.450 Ratings
Integration with R or other statistical packages
00 Ratings
10.039 Ratings
Report sharing and collaboration
00 Ratings
9.550 Ratings
Report Output and Scheduling
Comparison of Report Output and Scheduling features of Product A and Product B
Google Sheets
-
Ratings
Microsoft BI (MSBI)
9.6
49 Ratings
15% above category average
Publish to Web
00 Ratings
9.545 Ratings
Publish to PDF
00 Ratings
9.545 Ratings
Report Versioning
00 Ratings
9.541 Ratings
Report Delivery Scheduling
00 Ratings
9.544 Ratings
Delivery to Remote Servers
00 Ratings
10.024 Ratings
Data Discovery and Visualization
Comparison of Data Discovery and Visualization features of Product A and Product B
Google Sheets is well suited in two main areas: is free to use and you don't need to buy a license to use it, comparing to the most direct competitors ; collaboration is in my opinion the best advantage, with multiple people working together and seeing others working in real time. It's less appropriate in low connectivity environments (offline capabilities)
Microsoft BI is well suited for Stream analytics, easy data integration, report creation and UI/UX designs (limited but what all available are great ones) Microsoft BI may be less appropriate for handling huge number of datasets and difficult queries. It may also be difficult for a company with heavy data.
Collaborative planning : In the initial phase of project, Team leads and architects create a permission matrix along with the naming convention simultaneously, seeing who is editing / adding the details in real-time.
Cost tracking : We use this tool to track cloud resource usage monthly costs, so that we can analyse it and send out comms for high cost based resources. By storing cost data here, it's easy for use to store data of last couple of years.
Flexible documentation : For change logging of different scenarios we would need different / ad-hoc columns to be added on the fly, which makes using this tool much simpler then reputed third party tools.
The race to perfect gathering of Non-Traditional datasets is on-going; with Microsoft arguably not the leader of the pack in this category.
Licensing options for PowerBI visualizations may be a factor. I.e. if you need to implement B2C PowerBI visualizations, the cost is considerably high especially for startups.
Some clients are still resistant putting their data on the cloud, which restricts lots of functionality to Power BI.
I am not involved in the purchase/selection process, but my organization is a Google shop, and Sheets meets most of our spreadsheet needs and works seamlessly with our other tools. I don't anticipate our switching anytime soon.
Microsoft BI is fundamental to our suite of BI applications. That being said, Northcraft Analytics is focused on delighting our customers, so if the underlying factors of our decision change, we would choose to re-write our BI applications on a different stack. Luckily, mathematics are the fundamental IP of our technology... and is portable across all BI platforms for the foreseeable future.
It can easily handle most uses and functions. It is only for very large datasets or advanced analysis that it either lacks the proper functions or performance begins to slow. Most employees who continue to use competitors' products do so out of preference, familiarity with the user interface, or other surface-level reasons.
The Microsoft BI tools have great usability for both developers and end users alike. For developers familiar with Visual Studio, there is little learning curve. For those not, the single Visual Studio IDE means not having to learn separate tools for each component. For end-users, the web interface for SSRS is simple to navigate with intuitive controls. For ad-hoc analysis, Excel can connect directly to SSAS and provide a pivot table like experience which is familiar to many users. For database development, there is beginning to be some confusion, as there are now three tool choices (VS, SSMS, Azure Data Studio) for developers. I would like to see Azure Data Studio become the superset of SSMS and eventually supplant it.
Like most Google products, Google Sheets rarely has outages or slowness, and when it does, connection is always momentarily restored. I can't recall a time when I've been unable to access Google Sheets but able to access other sites just fine. That said, errors aren't uncommon when handling large data volume. You know what they say about using spreadsheets as databases, but sometimes it's just the most convenient option, especially for smaller or one-off projects, and not being able to store large amounts of data hampers our ability to move quickly with scrappy prototypes or full solutions. It would be great if we could better integrate our data manipulation (Apps Script) with big data in the sheet.
Again, Google Sheets is no exception to Google's general high speed and reliability, but load times can be slow for larger amounts of data. I've used Sheets with Zapier and have used the Python API, and speed has never been an issue.
SQL Server Reporting Services (SSRS) can drag at times. We created two report servers and placed them under an F5 load balancer. This configuration has worked well. We have seen sluggish performance at times due to the Windows Firewall.
I have never contacted Google Sheets support, but Google Sheets makes it very easy to report an issue or suggest a feature from Sheets itself (Help > Help Sheets improve), and I've had mostly good experiences with support for other Google products.
While support from Microsoft isn't necessarily always best of breed, you're also not paying the price for premium support that you would on other platforms. The strength of the stack is in the ecosystem that surrounds it. In contrast to other products, there are hundreds, even thousands of bloggers that post daily as well as vibrant user communities that surround the tool. I've had much better luck finding help with SQL Server related issues than I have with any other product, but that help doesn't always come directly from Microsoft.
I have used on-line training from Microsoft and from Pragmatic Works. I would recommend Pragmatic Works as the best way to get up to speed quickly, and then use the Microsoft on-line training to deep dive into specific features that you need to get depth with.
We are a consulting firm and as such our best resources are always billing on client projects. Our internal implementation has weaknesses, but that's true for any company like ours. My rating is based on the product's ease of implementation.
I have found that I can do almost everything I could have done in Microsoft Excel faster and easier in Google Sheets. We recommend Google Sheets in 99.9% of our use cases and feel it meets the needs of our workers very well. I am sure there are other spreadsheet creation programs out there, but because we are already in the Google environment, adopting Google Sheets in very easy.
We have used the built in ConnectWise Manager reports and custom reports. The reports provide static data. PowerBI shows us live data we can drill down into and easily adjust parameters. It's much more useful than a static PDF report.
I'm not involved with the purchase, but I assume everything goes smoothly and that the pricing structure is predictable and reasonable. We do not get surprise fees.
Google Sheets works very well with multiple users. It's convenient to see in real-time who is collaborating in a sheet, down to the specific cell that they're viewing/editing. Linking Sheets across departments is convenient with the IMPORTRANGE function.
Don't need to pay for windows 365 license as it is free
Has a positive impact since I am not cursing excel for annoying problems(I don't want the new Pivot table format, I want to use Classic and I don't want to expand/collapse arrows. "x$#%")
[Haven't] looked at return on investment on work, but has "simplified" for basic and medium spreadsheets.
As a SaaS provider we see being able to provide self-service BI to our client users as a competitive advantage. In fact the MSSQL enabled BI is a contributing factor to many winning RFPs we have done for prospective client organisations.
However MSSQL BI requires extensive knowledge and skills to design and develop data warehouses & data models as a foundation to support business analysts and users to interrogate data effectively and efficiently. Often times we find having strong in-house MSSQL expertise is a bless.