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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MySQL
Score 8.3 out of 10
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MySQL is a popular open-source relational and embedded database, now owned by Oracle.
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SAP HANA Cloud
Score 8.9 out of 10
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SAP HANA is an application that uses in-memory database technology to process very large amounts of real-time data from relational databases, both SAP and non-SAP, in a very short time. The in-memory computing engine allows HANA to process data stored in RAM as opposed to reading it from a disk which means that the data can be accessed in real time by the applications using HANA. The product is sold both as an appliance and as a cloud-based software solution.
The ability to use Javascript which can be useful at many places and main thing it's easily accessible from anywhere and can be used by multiple people simultaneously
- SAP HANA has much better performance as it offers the power of in-memory computing. - SAP HANA is very well suited for analytics and data warehousing; we also have SAP BW on HANA. - MySQL is not suited for data warehousing and analytics; doesn't offer the power of in-memory …
Really, it is appropriate for any kind of company. For everyone to be successful and make wise business decisions, effective data analytics are essential. Any research analytics firm can benefit greatly from it. It won't be of much use to a modeling agency; instead, a business …
This has helped to keep a close eye on our entire data silos to get intelligent analytics and other indicators. During its use, we had also gone for other options but we realize that this is most suitable for us that's why we permanently picked this.
As SAP HANA is built into memeory, the proformance of the product is hard to beat against it's rivals but that comes with a price. You can get away with using another product but you'll be losing out else where. For example in time/multiple systems and efforts to relplicate …
Similar to other big DBMS, but better or equal at stability and technical maintenance. Better or equal at documentation. There is room for improvement at SQL path analyzing.
We compared Microsoft BI with SAP HANA. The reasons to go with SAP HANA were - 1. ability to ingest data into HANA from a non SAP database 2. in-memory database resulting in faster real time analytics 3. ability to scale up 4. ability to replicate data real time 5. very solid …
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)
MySQL is best suited for applications on platform like high-traffic content-driven websites, small-scale web apps, data warehouses which regards light analytical workloads. However its less suited for areas like enterprise data warehouse, OLAP cubes, large-scale reporting, applications requiring flexible or semi-structured data like event logging systems, product configurations, dynamic forms.
I think if you have a large organization, it's probably the product and the marketplace to go to. We're a large management consulting firm operating in four to seven countries. And generally speaking, I think that's the size and the scope where it scales best. I can't speak to smaller companies, but I can't see smaller companies leveraging the benefits as much as a larger organization can.
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.
Real-time reporting and analytics on data: because of its in-memory architecture, it is perfect for businesses that need to make quick decisions based on current information.
Managing workload with complex data: it can handle a vast range of data types, including relational, documental, geospatial, graph, vector, and time series data.
Developing and deploying intelligent data applications: it provides various tools for such applications and can be used for machine learning and artificial intelligence to automate tasks, gain insights from data, and make predictions.
Learning curve: is big. Newbies will face problems in understanding the platform initially. However, with plenty of online resources, one can easily find solutions to problems and learn on the go.
Backup and restore: MySQL is not very seamless. Although the data is never ruptured or missed, the process involved is not very much user-friendly. Maybe, a new command-line interface for only the backup-restore functionality shall be set up again to make this very important step much easier to perform and maintain.
Requires higher processing power, otherwise it won't fly. How ever computing costs are lower. Incase you are migrating to cloud please do not select the highest config available in that series . Upgrading it later against a reserved instance can cost you dearly with a series change
Lack of clarity on licensing is one major challenge
Unless S/4 with additional features are enabled mere migration HANA DB is not a rewarding journey. Power is in S/4
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.
For teaching Databases and SQL, I would definitely continue to use MySQL. It provides a good, solid foundation to learn about databases. Also to learn about the SQL language and how it works with the creation, insertion, deletion, updating, and manipulation of data, tables, and databases. This SQL language is a foundation and can be used to learn many other database related concepts.
We would rate our likelihood of renewing at 9/10. SAP HANA Cloud has proven to be a highly reliable and scalable data platform that consistently delivers strong performance. Its seamless integration with our overall SAP landscape, combined with improved analytics and real-time data capabilities, makes it a core part of our long-term technology strategy.
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.
I give MySQL a 9/10 overall because I really like it but I feel like there are a lot of tech people who would hate it if I gave it a 10/10. I've never had any problems with it or reached any of its limitations but I know a few people who have so I can't give it a 10/10 based on those complaints.
It is very useful solution which provides you speedier data processing, real-time analytics. It helps you manage diverse data types. It also offers you excellent disaster management. It has user friendly interface which helps you navigate system and transactions easily and perform task smoothly.
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.
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.
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.
We have never contacted MySQL enterprise support team for any issues related to MySQL. This is because we have been using primarily the MySQL Server community edition and have been using the MySQL support forums for any questions and practical guidance that we needed before and during the technical implementations. Overall, the support community has been very helpful and allowed us to make the most out of the community edition.
However, I am not the right person to answer this as we have another department to handle support and contact the service provider for any support required. Although i will say that they are the quick respondent and knows how to handle querry of the customers and provide quick and better support.
Professional GIS people are some of the most risk-averse there are, and it's difficult to get them to move to HANA in one step. Start with small projects building to 80% use of HANA spatial over time.
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.
MongoDB has a dynamic schema for how data is stored in 'documents' whereas MySQL is more structured with tables, columns, and rows. MongoDB was built for high availability whereas MySQL can be a challenge when it comes to replication of the data and making everything redundant in the event of a DR or outage.
I have deep knowledge of other disk based DBMSs. They are venerable technology, but the attempts to extend them to current architectures belie the fact they are built on 40 year old technology. There are some good columnar in-memory databases but they lack the completeness of capability present in the HANA platform.
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.
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.
