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.
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Azure SQL Database
Score 8.9 out of 10
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Azure SQL Database is Microsoft's relational database as a service (DBaaS).
It enables preview and better cloud service than other cloud platforms. Easy document transfer and faster document transfer are the key points for the selection of the HANA cloud server. The preview of data before its execution is also one of the factors in the selection of the …
Multiple things as SAP HANA Cloud is used to handle large volumes of data with smooth use of different data types, including great real-time data storage.
The main reason is purely HANA database performance, and it supports both row and column store data. And the way optimization is running behind the schedule is another added benefit.
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 …
One area where SAP HANA Cloud stood out for us is in its support for real-time analytics on live transactional data. As a business that relies on up-to-date information to make critical decisions, this capability was essential for us. We found that SAP Analytics Cloud was more …
Both SAP Cloud Platform and Oracle Cloud Platform provide the API management, data and application integration, using real-time insights to develop and deploy integrate applications, but SAP proved more beneficial for our firm and was mostly a decision taken by management.
Earlier, the cloud-based database of azure was being used, and since it is also a cloud-based database solving all the analytical problems but once using Sap Hana, it seems to be more modern type problem solving and highly secure and highly user-friendly, solving a lot of …
The reason remains the same , The dataflow between SAP application works seamlessly with SAP HANA cloud . The in memory capability really helps here a lot to make the reports run faster . Where as the other database engines that doesn't have the in-memory capability.
In any software selection process, considering all options is critical to ensuring the best system is selected.It's even true for top-tier products like S/4HANA, SAP's newest ERP platform. For larger, more complex global organizations, an enterprise-class option from SAP may …
SAP HANA Cloud allows for more advanced custom developments compared to comparable solutions build in the Business Warehouse. SAP BW, on the other hand, still has far more build in tools, like system monitoring, delta loading, advanced scheduling, and other data loading …
The simplicity and great features and good support of Microsoft as well as the more reasonable flexible price than other competitors is one of the important reasons for choosing it.
Oracle database is "the" serious database. There really is no competition in that field. SQL Database would be a serious competitor through the ease of implementation and the "no maintenance," but since it's too expensive for "normal" use (medium to small applications), it just …
It is very easy to setup SQL database on Azure. one can always refer to their documentation for best practices. It is highly available and scalable. It is cheaper than its alternatives and provide better performance than others. As we are using many other services of Azure for …
Director, eCommerce Analytics and Digital Marketing
Chose Azure SQL Database
The Azure SQL Database, compared to our on premise SQL server installation, is much easier to use in terms of seeing database diagnostics. There is a whole visualization platform that comes with the tool that will allow your database administrator to see what jobs are tying up …
Amazon's RDS offering is actually very good and is used in other parts of the company, we just have a lot of Azure experience so wanted to leverage that.
Being able to manage our databases in the cloud, scale quickly, and only require access to VMs made choosing Azure a no-brainer over a traditional SQL Server installation/integration. We don't have the budget or resources to integrate and maintain servers on our own, so using …
I would say MySQL in either Aurora or MariaDB form come close however, Azure SQL Database has a more streamlined approach to delivering a consistent programmability model, supported drivers and feature set.
Azure SQL Database T-SQL is advantageous and more complete than SQL …
Azure owned by Microsoft who owned SQL Server, so provided a variety of tools for easy migration/transition and from on-premises to the cloud; and management. I recommend using Azure for any on-prem SQL server databases.
Azure SQL is a clear upgrade to SQL Server 2012 and pretty much has the advantage with all the extra features that it has. Security, queries, exporting tables, T-SQL has all improved. Transitioning 18+ years of an in-house database to the cloud was a struggle, but for the …
We moved away from Oracle and NoSQL because we had been so reliant on them for the last 25 years, the pricing was too much and we were looking for a way to cut the cord. Snowflake is just too up in the air, feels like it is soon to be just another line item to add to your Azure …
Amazon Relational Database Service is the other obvious competitor. We were already in Azure, so it's not a serious contender for our business due to that bias already, but I do personally find the marketing and documentation of RDS more intimidating to sort through.
Comparing with Amazon Aurora: Azure SQL DB is 100% compatible with SQL Server and Aurora is compatible with MySQL and PostGreSQL. Because of if, SQL DB suits large enterprises with hundreds of databases better. Comparing with Oracle: the main issue is that Oracle will try to …
It stacks up in different ways, for the most part, I think Microsoft is doing a really good job versus the competition. They basically started database type products from the beginning. I've always been excited about updates and can see their progress over time. Get's me really …
It's more easy to shift and get all the services up in no time, provide best up time and monitoring easily so you can get the best services which take care of themselves. It's a better fitting for a large company size.
As we were early adopters with Azure and landed on the Azure PaaS (Platform as a Service), it made sense to use databases that were on the same platform as the application to save on costs. Also, we were impressed with the simplicity of Azure SQL. From a management perspective …
SAP HANA Cloud works effectively with SMBs or small to medium-sized enterprises and requires an affordable, scalable ERP system. Companies that must implement SAP S/4 HANA as soon as possible. Companies looking to take advantage of the newest innovation from SAP are looking to cut expenses on their IT infrastructure. SAP HANA CLOUD is not suitable for 1. Large companies with intricate operational procedures. 2. Companies with stringent policies regarding data residency. 3. Businesses with a sizable SAP landscape on premises 4. Companies must closely integrate SAP HANA CLOUD with non-SAP systems.
Your upcoming app can be built faster on a fully managed SQL database and can be moved into Azure with a few to no application code changes. Flexible and responsive server less computing and Hyperscale storage can cope with your changing requirements and one of the main benefits is the reduction in costs, which is noticeable.
Scalability is #1: if it used to be an almost no-win endeavour to try to modernize your server or migrate to other hardware, with Azure SQL Database it becomes a press of a button.
All the tools simply work after you are on Azure SQL Database.
The applications do not need changes in order to start using Azure SQL Database.
Hybrid Cloud scenarios will work.
Clustering and failover - already there.
You can start monitoring the use and extract performance insights in a new way in Azure.
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
A little slow on processing complex or large Views. We use a lot of Views to feed our BI system, and the processing time could see some improvement, IMHO.
Additional monitoring components would be nice too, automating some built in performance measurement tools would be a nice feature.
Price can always be improved as well. It’s not bad, but room for improvement.
At this moment we are not focusing on SAP, however would love to in the future. This is primarily because of our limited ability to generate more revenue to fund for SAP partnerships and products. Our initial tryst with SAP Partneredge open ecosystem didn't go as planned and we have shelved that for now. Hope we can revive in the future
SAP HANA Cloud requires significant expertise on technical side to admin and manage it.It surely is lot of improvement over previous versions of SAPThe modern, role-based SAP Fiori interface has enhanced the user experience for applications like S/4HANA, though the complexity of the underlying database remains. For the average business user, the usability of SAP solutions running on the HANA database has seen a major transformation, largely thanks to the Fiori user interface.
One specific example of how the support for SAP HANA Cloud impacted us is in our efforts to troubleshoot and resolve technical issues. Whenever we encountered an issue or had a question, the support team was quick to respond and provided us with clear and actionable guidance. This helped us avoid downtime and keep our analytics operations running smoothly.
We give the support a high rating simply because every time we've had issues or questions, representatives were in contact with us quickly. Without fail, our issues/questions were handled in a timely matter. That kind of response is integral when client data integrity and availability is in question. There is also a wealth of documentation for resolving issues on your own.
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.
It enables preview and better cloud service than other cloud platforms. Easy document transfer and faster document transfer are the key points for the selection of the HANA cloud server. The preview of data before its execution is also one of the factors in the selection of the HANA server.
Oracle Database is "the" serious database. There really is no competition in that field. SQL Database would be a serious competitor through the ease of implementation and the "no maintenance," but since it's too expensive for "normal" use (medium to small applications), it just priced itself out of the market, so to speak. Nevertheless, we do have 2 or 3 large applications that are highly integrated in azure, and for those it's just too easy to use SQL Database instead of the on premise Oracle Database with VPN gateways etcetera.
We don't need a dedicated SQL dba because so many of the database maintenance operations are managed. A huge positive not only in budget but time constraints.
The ability to scale quickly is the biggest positive as our data needs change constantly.
Easy to migrate from legacy tools and systems, saving us on the need for redevelopment.