NGINX vs. SAP HANA Cloud

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.

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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.

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• Very low memory usage. Can handle many more connections than alternatives (like Apache HTTPD) due to low overhead. (event-based architecture).
• Great at serving static content.
• Scales very well. Easy to host multiple Nginx servers to promote high availability.
• Open-Source (no cost)!

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• 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.

• 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

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Great value for the product

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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.

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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

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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.

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so far, we didn't get any outage

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so far good

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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.

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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.

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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.

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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

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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.

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I don't have visibility in licensing

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Limitation of training deliverable by organization

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We are still in process for the first applciaiton

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• 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.

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• ROI has always been high in terms of the functionality that it offers and the security features it comes with.
• Managing large volumes of data in real-time is not an easy task, but it does it pretty well with faster data processing.

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