Amazon RDS on VMware vs. HAProxy Community Edition vs. SAP HANA Cloud

We work with our customers databases all the time and they are containing PHI and other secured data for patients. With many clients on-prem it does a good job hosting the data and doing backup recovery and makes it so DBAs are not having to be so involoved with recovery efforts.

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It prevents a single server failure from being a downtime event by adding redundancy to every layer of your architecture. A load balancer facilitates redundancy for the backend layer (web/app servers), but for a true high availability setup, you need to have redundant load balancers as well. So it is well suited for all production related servers and less suited for individual servers that do not require redundancy.

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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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• Low-Cost Load Balancer
• Intelligent Request Routing based on URL and/or URI
• Extremely flexible load balancing and healthchecks, can do almost anything including HTTP, HTTPS, PostgreSQL, etc.
• SSL Termination

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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.

• A few, rare times each year, HAProxy CPU utilization spikes to 100% and server has to be rebooted - this may be related to HAProxy OR it could be an external factor causing this.

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• 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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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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We are constantly learning more and using the application more and more. There is a steep learning curve for our side, but we are getting more comfortable with the tool

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It is very easy to use. I was able to find a lot of documents for it on the internet. Very good community support. There are lots of examples available to try. We mostly use a command-line user interface to interact with it. The CLI is also super easy to use and very easy to interact with

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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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We haven't used customer support. We mostly used the community version. We build a multi-node HAProxy cluster with HA to the proxy itself using opensource plugins available. With the support available on the internet and the documents available we don't need to use much customer support.

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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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AWS seems to be the most impactuful. It has the most value that we found across AZURE and MongoDB, but it might be the most difficult to use as well.

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We chose HA Proxy because it is cheaper than a hardware balancer, it is an open-source solution with a large community behind it and with constant updates. It also allows custom scripts according to needs.HA Proxy is a solution used in many internet sites like GitHub, Reddit, Twitter, and Tuenti.

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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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• Significantly lower investment vs competitors. In the case of F5s we have Virtual Editions so we're paying for the hardware to run it on top of the several thousand dollar licenses that are required for each pair and we currently have a pair of F5s per client so there's a huge potential for cost savings there.
• Requires our network engineers to learn a new skill or our Systems engineers to take on the responsibility of managing the load balancers. It's not a huge difference either way, but it does impact the way we have done business in the past.

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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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