Google Sheets vs. KNIME Analytics Platform

Google Sheets is great for just recording tabular information that needs to be shared with and/or edited by multiple people. Sharing and collaborating is especially convenient because Sheets is designed to be browser-based; while Excel has a browser version, it's limited compared to the desktop app. Google Sheets's editing, suggesting, commenting, and viewing permissions settings are absolutely perfect for my department. Google Sheets does not handle large datasets well. It does not load in a timely manner and often freezes. Apps Scripts fail to process large amounts of data.

Incentivized

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.

Incentivized

• It is a cloud-based platform.
• You can work in the same file simultaneously with your colleagues.
• It allows you to share files much faster.
• It allows you to access your Google Sheet files whenever you like and wherever you like if you have stable internet connection.
• It has great integration with other Google software.
• Google Sheets is very user-friendly and very intuitive to use.

Incentivized

• Summarize instrument level financial data with relevant statistics
• Map transactions from core extracts to groups of like transactions using rule engines
• Machine learning using random forests and other techniques to analyze data and identify correlations for use in predictive models
• Fill out sampling data from averages.

• Pivot tables are different but could be improved upon; sort, totals, filters
• When entering negative numbers as the first in a formula you need to remember to "+-100+25" instead of "-100+25"
• The power of the internet of course makes it easy to find solution, but the help function is not easily available
• Color coding changes on the cell, but there is not an easy way to click on a cell and use the selected color; like excel

Incentivized

• It does not have proper visualization.
• Some other BI tools (QlikView) have much easier functions for data interaction.
• Some other BI tools (Tableau) can be set up much faster.
• It is not an easy tool to use for non-tech savvy staff.

Incentivized

It is easy to use, free of charge for basic functionality, and easy to share with people within or outside your team or company

Incentivized

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

Overall the formula functions could improve but there's workarounds for them. Utilzing different formulas or approaches for building out accounting schedules. While collebrating with multiple team members and different departments being able to go in and see where others are on the sheets is helpful. Google Sheets overall is a great product

Incentivized

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

Incentivized

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.

Incentivized

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.

Incentivized

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.

Incentivized

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.

Incentivized

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.

Incentivized

The major reason I use Google Sheets over Microsoft Excel and Apple Numbers is for its ability to allow multiple users to access and work on the same spreadsheet at once. This is incredibly more efficient and effective than updating and sending copies upon copies of the same Excel or Numbers spreadsheet back and forth as email attachments.

Incentivized

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].

Incentivized

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.

Incentivized

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.

Incentivized

• We've used it to prepare quick budgets, presentations for funds that have helped raise money
• It has helped us quickly analyze raw data, collaboratively.
• it has helped us work more efficiently by making it easier to work from one sheet and not lose track of versions by passing around attached documents

Incentivized

• 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.

Incentivized