Numbers is a spreadsheet application developed by Apple Inc. as part of the iWork productivity suite. It is available for Mac and iOS, or for Windows in a browser via its cloud edition.
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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
Microsoft Excel
Score 8.9 out of 10
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Microsoft Excel is a spreadsheet application available as part of Microsoft 365 (Office 365), or standalone, in cloud-based and on-premise editions.
I think Apple Numbers is inferior to both Microsoft Excel and Google Sheets. Google Sheets is more readily available for everyone and does not have the requirement that someone be on a MacOS system. Microsoft Excel, being the industry standard for spreadsheet management, has …
Apple Numbers is more aesthetically appealing than Microsoft Excel and Google Sheets. I would say, however, that Microsoft Excel seems to have more tools and bells and whistles than Apple Numbers does. In that same vein, however, Apple Numbers has more bells and whistles than Go…
has a more refined interface, allows for making good looking spreadsheets with little effort. though these other softwares each have their own positives and negatives. But Excel and Odoo are top in features and managing large amounts of data. Apple Numbers is good until you …
Apple Numbers lags behind Google Sheets when it comes to real-time collaboration and editing between multiple users (especially when you consider that Numbers is iOS based and anyone can use Google Sheets, regardless of the kind of device and operating system they have). …
I would say excel is top tier, but you are going to pay a premium price for it. A small step down is a price savings and two tools that are really similar: Google Sheets and Apple Numbers. If I had to pick one I would pick sheets as it is easier to collaborate with. For …
If you're an Apple user, Apple Numbers is for you. If you primarily operate on PC and Android, you will find more compatibility with Excel. Both platforms perform similar functions -- you can create charts, graphs, and figures. Excel was the pioneer spreadsheet software but …
We all work with Apple devices in this organization. So we mostly use this software. It is very well synced in Apple ecosystem and provide very attractive data representation by its graphics and charts. In few scenarios we use MS Excel also but we always try to stick on Apple …
Microsoft is more user friendly in my opinion. More applications and systems are compatible with excel versus Apple Numbers. More companies we do business with use Excel for invoicing and warehouse management which makes Excel stand out from other software like it. It is …
I've used a few of the mobile spreadsheet programs that you can find on the app store and found them to be inferior to Excel, even the mobile version. Access is better than Excel for certain situations but it is largely overkill much of the time and requires a time investment …
Excel will always be selected because it's part of the Office Suite. We started to use Smartsheet, but the onboarding and training process took too long when compounded with licensing setup & costs. Apple Numbers works well, but without the maturity of Excel. Since Apple …
Excel stands out from Google Sheets and Apple Numbers with its extensive range of advanced functions, including financial, statistical, and data analysis tools, surpassing the capabilities of its competitors. As the universally recognized industry standard, Excel offers better …
PowerPoint is excellent for displaying information in a far more visually engaging, relatable manner. However, where it is lacking is the ability to get to that point in analyzing competing deal information, building formulas around it, things of that nature.
Excel is a far superior product compared to Numbers as far as it's usability, simplicity, and functions. I do like the ease of sharing that Google Sheets offers and that's an advantage, but otherwise, very similar. Often I use Excel over Google because of how user friendly it …
Apple Numbers is the PERFECT tool if you are looking to plan a conference at your church. Furthermore, if you are a youth pastor, Apple Numbers is incredibly useful in keeping track of how much each of your high school students has accumulated funds towards their summer camp bill. Lastly, Apple Numbers is perfect if you are trying to keep track of all your upcoming preaching opportunities.
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.
I don't really know another program as powerful as Excel. I've used Google Doc programs but do not feel they come close. So far, anytime I've needed a table of some sort for data, whether it's budget oriented or information off a survey, the best system has been Excel. We do web audits on occasion and we create an Excel worksheet featuring every URL of the pages we're auditing, notes, data about the content, information about files attached to the page and other information to help us determine what pages need updating, deleting or otherwise. We also use Excel primarily to export our Google Analytics to in order for us to create reports for clients that need to see specific information about their traffic.
It is very good at embedded formulas and tying cells to one another
It allows me to compare deals terms on a side-by-side basis and talk my clients through it easily.
It is very helpful as well in terms of allowing me to filter/sort results in many different ways depending on what specific information I am most interested in prioritizing.
Excel offers collaboration features that allow multiple users to work on the same spreadsheet, but managing changes made by different users can be challenging. Excel could improve its features by offering more granular control, better tracking of changes, and more robust conflict resolution tools.
Itcan be a barrier to productivity when importing and exporting data from other applications or file formats. To improve its features, it should offer better support for standard file formats and more robust error handling and reporting tools.
Excel can be challenging for finance students and working professionals, but it can be improved by offering more robust tutorials, better documentation, and more user communities and support forums.
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
Excel remains the industry standard for spreadsheets and has maintained simple and straight-forward formula writing methods. Although there is a learning curve to do more complex calculations, there are countless help sites and videos on the Internet for almost any need.
The interface once familiar allows for quick work, and easy to use. very intuitive. Its easy to create beautiful spreadsheets, ones that capture interest and can communicate data in a easy to understand with Apple Numbers ability to organize, and make good looking with styles. Collaboration is great for our teams to all contribute the to document at the same time.
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
I'm giving it a 7 because it is my go to. But the fact other prefer Google Sheets when working with a team does get irritating. I've used the online version of Microsoft Excel that other teams can get into and it still seems behind Google Sheets. It's a little clanky and slow? If that's even a term.
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.
Implementing Numbers effectively, whether for personal use or within an organization, requires understanding its strengths and limitations to maximize productivity
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.
Apple Numbers lags behind Google Sheets when it comes to real-time collaboration and editing between multiple users (especially when you consider that Numbers is iOS based and anyone can use Google Sheets, regardless of the kind of device and operating system they have). However, Numbers is easier to navigate, which can be a benefit for some users.
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].
Out of Microsoft Excel, Microsoft Power BI, IBM SPSS, and Google Sheets, Microsoft Excel is by far the most common tool used for anything data-related across organizations. Accordingly, our organization has also implemented Microsoft Excel as a first-step tool. We recently adopted Microsoft Power BI (the free version), and use it occasionally (mostly for creating dashboards), but it is less commonly understood by stakeholders across our organization and by our clients. Accordingly, Microsoft Excel is more user-friendly and because of its popularity, we can easily look up how to do things in the program online. Google Sheets is a comparable alternative to Microsoft Excel, but because it's cloud-based and we have sensitive data that needs to be protected, we chose against using this software. Finally, a few users (including myself) have access to and utilize IBM's SPSS. For my role, it's a helpful tool to do more rigorous analyses. However, because of its cost and limited functionality as a simple spreadsheet, we only use it for more complex analyses.
Each user can use it to whatever level of expertise they have. It remains the same so users can contribute to another's work regardless of whether they have more or less expertise
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.