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.
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KNIME Analytics Platform
Score 7.8 out of 10
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KNIME enables users to analyze, upskill, and scale data science without any coding. The platform that lets users blend, transform, model and visualize data, deploy and monitor analytical models, and share insights organization-wide with data apps and services.
$0
per month
LibreOffice
Score 8.8 out of 10
N/A
LibreOffice is a free and open-source Office Suite from The Document Foundation, presented as the successor to OpenOffice.org. The suite includes Writer (word processing), Calc (spreadsheets), Impress (presentations), Draw (vector graphics and flowcharts), Base (databases), and Math (formula editing).
$0
free and open source under the Mozilla Public License v2.0
Google Sheets is newest of all and is easy to understand. It has better UI or display then rest all. Minimal design helps to focus more on work. In built chat features is one that makes it stand out of league then rest of all. Unlike MS Excel and LibreOffice it is available …
Google Sheets collaborative mode and integration with google drive makes it much easier to share data across teams or organizations, while also allowing for multiple users on the product. The functionality of equations, appscripts, and AI integrations make it invaluable …
Google Sheets is the best online application for spreadsheets. I think it's far above the rest in terms of features and sharing capabilities. The other programs all have standalone applications that can take advantage of an individual user's computer to process large swaths of …
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)
KNIME Analytics Platform is excellent for people who are finding Excel frustrating, this can be due to errors creeping in due to manual changes or simply that there are too many calculations which causes the system to slow down and crash. This is especially true for regular reporting where a KNIME Analytics Platform workflow can pull in the most recent data, process it and provide the necessary output in one click. I find KNIME Analytics Platform especially useful when talking with audiences who are intimidated by code. KNIME Analytics Platform allows us to discuss exactly how data is processed and an analysis takes place at an abstracted level where non-technical users are happy to think and communicate which is often essential when they are subject matter experts whom you need for guidance. For experienced programmers KNIME Analytics Platform is a double-edged sword. Often programmers wish to write their own code because they are more efficient working that way and are constrained by having to think and implement work in nodes. However, those constraints forcing development in a "KNIME way" are useful when working in teams and for maintenance compared to some programmers' idiosyncratic styles.
If you're working with numbers, LibreOffice doesn't get in your way and try to make changes as it sees fit, forcing you to repeatedly go back and undo processes you didn't want, didn't ask for, and that have no place in the document you are trying to produce. All I want to do is assemble the data, process it for the task at hand, and then print it for distribution. LibreOffice allows me to do that.
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.
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.
We are happy with Knime product and their support. Knime AP is versatile product and even can execute Python scripts if needed. It also supports R execution as well; however, it is not being used at our end
We use it consistently and have a lot of documents in the OpenDocument format so it will be necessary to use LibreOffice or a compatible product such as Openoffice in the future to be able to open these files. Because the license fee for Libreoffice is zero it is not very costly to keep using it - the costs are mostly for keeping it installed on the office PCs and regularly updated, and solving employee issues with the user support.
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.
KNIME Analytics Platform offers a great tradeoff between intuitiveness and simplicity of the user interface and almost limitless flexibility. There are tools that are even easier to adopt by someone new to analytics, but none that would provide the scalability of KNIME when the user skills and application complexity grows
For all of the reasons in the foregoing evaluation. Its menus are clean, intuitive and straightforward. Any function I need to use can be accessed via keystrokes, without having to stop, move my hand to the mouse, deal with it, and then get back to the keyboard to proceed. It helps me keep my mind on my work and not worry about dealing with the mouse all the time.
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.
Libreoffice is a desktop app not requiring any server part so it is always available when the PC is working normally. Installing it on another machine if one PC fails is very quick and easy. This is a non-issue.
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.
For big/imported tables or text documents with images loaded from the internet it is sometimes getting very slow, RAM and CPU intensive, and sometimes even hangs due to some memory leaks or other bugs. This is a long-term problem and is still not resolved perfectly.
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.
KNIME's HQ is in Europe, which makes it hard for US companies to get customer service in time and on time. Their customer service also takes on average 1 to 2 weeks to follow up with your request. KNIME's documentation is also helpful but it does not provide you all the answers you need some of the time.
Support is not officially offered. However, you can find answers to any usage questions or trouble-shooting online easily, typically starting with a Google search. (I believe that all forums / tips for OpenOffice apply equally to LibreOffice, and vice versa.) While Microsoft Office, for example, officially includes support, I find that typically you end up going to a Google search in any case. So, this is not really a downside. However, in all these cases, you end up doing a lot of figuring things out for yourself.
KNIME Analytics Platform is easy to install on any Windows, Mac or Linux machine. The KNIME Server product that is currently being replaced by the KNIME Business Hub comes as multiple layers of software and it took us some time to set up the system right for stability. This was made harder by KNIME staff's deeper expertise in setting up the Server in Linux rather than Windows environment. The KNIME Business Hub promises to have a simpler architecture, although currently there is no visibility of a Windows version of the product.
Generally easy to perform, issues are how to ensure regular automatic updates on Mac OS X. Fortunatly we have only a few machines with OS X run by management and we can do these updates manually occasionally. Windows updates are quite easy with the support of third party software such as Ninite or Chocolatey, and Linux updates are super-easy thanks to the package manager (apt-get).
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.
Having used both the Alteryx and [KNIME Analytics] I can definitely feel the ease of using the software of Alteryx. The [KNIME Analytics] on the other hand isn't that great but is 90% of what Alteryx can do along with how much ease it can do. Having said that, the 90% functionality and UI at no cost would be enough for me to quit using Alteryx and move towards [KNIME Analytics].
If you are looking for a well-rounded, GNU-licensed product that will encompass word processing, spreadsheets, presentations, and database then LibreOffice is probably all you need.
For online collaboration, links with cloud storage, and more robust support, Microsoft Office 365 and Google Docs are probably what you or your organization needs.
LibreOffice is at its best for regular document creation and spreadsheet management. It is more cumbersome when it comes to fonts but also when it comes to linkages with cloud-based services. It is there, but you need some more computer knowledge to make it work.
There are other free alternatives, most notably Apache Open Office, which is also a very good alternative if you do not like LibreOffice.
Having said that, I honestly think off-line computers or laptops used off-site can certainly benefit from having LibreOffice installed.
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.
With more users using it in the company there are more cases when a simultaneous editing of the same document is needed and this feature is lacking in Libreoffice even though the files concerned are shared and synced by some solution (we use ownCloud). Google Docs or MS Office365 via Sharepoint/Onedrive offer a better function for this.
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.
It is suited for data mining or machine learning work but If we're looking for advanced stat methods such as mixed effects linear/logistics models, that needs to be run through an R node.
Thinking of our peers with an advanced visualization techniques requirement, it is a lagging product.
I am able to quickly create and edit word processing documents and spreadsheets which are for all intents and purposes equivalent to documents I could create and edit in other tools such as Microsoft Office and Google Docs/Sheets.
Lack of an online portal for sharing documents necessitates the use of Google Sheets for automation/integration. Ideal would be an all-in-one solution.
Having open-source software that provides common functionality eliminates the need for expensive licenses.
Lack of dedicated support is negligible. Most issues can be resolved using online search.
