Ethercalc is very well suited for developing modern-day enterprise (smaller-mid size), finance and healthcare applications as it can do Real-time data pull from a variety of third-party apps, and has interoperability with CSV, Microsoft Excel and JSON files; It's available on all on all public clouds including AWS, GCP and Microsoft Azure and can be used as a Low code and no code development tool. Further, we can Develop applications on the go with good integration and visualization libraries and we can also do Tabulation and graphing along with ability to use it as an npm module, do Real time collaboration and editing. It is a very good tool for startups and government institutions. There is a considerable scope of improvement for using it in bigger enterprises as it needs key integration and interoperability functionalities. It can evolve in a variety of directions depending upon its integration with a variety of third party apps services and tools. As an analytics tool, for example, it needs integration with R, Scipy, Numpy and keras libraries. Availability within Ionic, NativeScript or Appgyer as an extension or a plugin will be very useful for it being used as a large enterprise low code/no code tool.
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.
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.
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.
EtherCalc has a low barrier to entry on training and end-user development. It is very easy for startups with considerable time pressure to deliver to use EtherCalc as a tool for tabulation, organization, collaboration and computation. It is also very useful for use cases in government institutions where there is a strong push for open source software-based ERP solutions or app development. These are the key reasons for the selection of Ethercalc.
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
Very good opportunities on using it as a low code, no code tool with ionic open source platform. Able to meet needs of our customers and do real time deployment quickly
Very productive and useful for developing web APIs and PWAs on the cloud, tablet, mobile and a variety of surface devices (touch functions can be customized according to needs)
Spreadsheet for the next 100-150 years as it integrates well with React, Angular and Jquery libraries. Maintainable and readable code of spreadsheet
Low barrier to entry on training and end user development
Good analytics and accounting tool for startups
What you see is what you get interface
The ability to integrate with firebase and Dropbox is neat.
