Google Sheets vs. MongoDB

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)

If asked by a colleague I would highly recommend MongoDB. MongoDB provides incredible flexibility and is quick and easy to set up. It also provides extensive documentation which is very useful for someone new to the tool. Though I've used it for years and still referenced the docs often. From my experience and the use cases I've worked on, I'd suggest using it anywhere that needs a fast, efficient storage space for non-relational data. If a relational database is needed then another tool would be more apt.

Incentivized

• 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.

Incentivized

• Being a JSON language optimizes the response time of a query, you can directly build a query logic from the same service
• You can install a local, database-based environment rather than the non-relational real-time bases such a firebase does not allow, the local environment is paramount since you can work without relying on the internet.
• Forming collections in Mango is relatively simple, you do not need to know of query to work with it, since it has a simple graphic environment that allows you to manage databases for those who are not experts in console management.

Incentivized

• Ease of use - I collaborate with a lot of folks on these and a lot of them have trouble using it.
• Would love more live features; for example, being able to have cells react to other inputs (checkboxes, etc) with reactive formatting
• More cross-usability with other Google products; it's hard to think of drawbacks honestly, this is a pretty seamless software.

Incentivized

• An aggregate pipeline can be a bit overwhelming as a newcomer.
• There's still no real concept of joins with references/foreign keys, although the aggregate framework has a feature that is close.
• Database management/dev ops can still be time-consuming if rolling your own deployments. (Thankfully there are plenty of providers like Compose or even MongoDB's own Atlas that helps take care of the nitty-gritty.

Incentivized

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.

Incentivized

I am looking forward to increasing our SaaS subscriptions such that I get to experience global replica sets, working in reads from secondaries, and what not. Can't wait to be able to exploit some of the power that the "Big Boys" use MongoDB for.

Incentivized

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.

Incentivized

NoSQL database systems such as MongoDB lack graphical interfaces by default and therefore to improve usability it is necessary to install third-party applications to see more visually the schemas and stored documents. In addition, these tools also allow us to visualize the commands to be executed for each operation.

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

Finding support from local companies can be difficult. There were times when the local company could not find a solution and we reached a solution by getting support globally. If a good local company is found, it will overcome all your problems with its global support.

Incentivized

While the setup and configuration of MongoDB is pretty straight forward, having a vendor that performs automatic backups and scales the cluster automatically is very convenient. If you do not have a system administrator or DBA familiar with MongoDB on hand, it's a very good idea to use a 3rd party vendor that specializes in MongoDB hosting. The value is very well worth it over hosting it yourself since the cost is often reasonable among providers.

Incentivized

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.

Incentivized

We have [measured] the speed in reading/write operations in high load and finally select the winner = MongoDBWe have [not] too much data but in case there will be 10 [times] more we need Cassandra. Cassandra's storage engine provides constant-time writes no matter how big your data set grows. For analytics, MongoDB provides a custom map/reduce implementation; Cassandra provides native Hadoop support.

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

• 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.

Incentivized

• Open Source w/ reasonable support costs have a direct, positive impact on the ROI (we moved away from large, monolithic, locked in licensing models)
• You do have to balance the necessary level of HA & DR with the number of servers required to scale up and scale out. Servers cost money - so DR & HR doesn't come for free (even though it's built into the architecture of MongoDB