MySQL is a popular open-source relational and embedded database, now owned by Oracle.
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NGINX
Score 9.1 out of 10
Mid-Size Companies (51-1,000 employees)
NGINX, a business unit of F5 Networks, powers over 65% of the world's busiest websites and web applications. NGINX started out as an open source web server and reverse proxy, built to be faster and more efficient than Apache. Over the years, NGINX has built a suite of infrastructure software products o tackle some of the biggest challenges in managing high-transaction applications. NGINX offers a suite of products to form the core of what organizations need to create…
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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.
- 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 …
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.
Nginx is well-suited for any web server scenarios, such as web applications, backend or reverse proxy for both application and HTTP requests, and distribution. It is less appropriate for Windows-based applications that run directly on a Windows Server host. In any case, it is very easy to manage, through separate conf files for each application or site you want to host with it.
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.
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.
Customer support can be strangely condescending, perhaps it's a language issue?
I find it a little weird how the release versions used for Nginx+ aren't the same as for open source version. It can be very confusing to determine the cross-compatibility of modules, etc., because of this.
It seems like some (most?) modules on their own site are ancient and no longer supported, so their documentation in this area needs work.
It's difficult to navigate between nginx.com commercial site and customer support. They need to be integrated together.
I'd love to see more work done on nginx+ monitoring without requiring logging every request. I understand that many statistics can only be derived from logs, but plenty should work without that. Logging is not an option in many environments.
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
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.
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.
This tool is really easy to use and configure. Consumes very less system resources. It is highly modular and configurable. You can easily use it with other tools like certbot for SSLs. You can configure basic security with configuration and headers
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.
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.
Community support is great, and they've also had a presence at conferences. Overall, there is no shortage of documentation and community support. We're currently using it to serve up some WordPress sites, and configuring NGINX for this purpose is well documented.
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.
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 found that [NGINX] seems to perform better throughout the years with less issues although I've used Apache more. I would definitely recommend [NGINX] for any high volume site and I've seen this to usually be the case from most provided web hosts who will pick [NGINX] over alternatives
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.
By using Nginx, we can host multiple web services on a single server, keeping our infrastructure costs lower.
Nginx maintains our HTTPS connections, allowing us to keep our promise to our customers that their data is safe in transit.
Due to Nginx's extremely low failure rate, our web addresses always return something meaningful, even when individual services go down. In sense, this means we are "always online" and allows us to maintain brand and support our customers even in the face of catastrophe.
