SAP® Adaptive Server® Enterprise (SAP ASE) was a solution that handled massive volumes of data and thousands of concurrent users to accelerate the growth of new data-driven business applications. SAP ASE is a legacy product. It is end of sale (EOS), and reached End of Mainstream Maintenance December 2020.
N/A
SAP HANA Cloud
Score 8.5 out of 10
N/A
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.
Vice President, Chief Architect, Development Manager and Software Engineer
Chose SAP Adaptive Server Enterprise (ASE), legacy
ASE outperforms MS SQL Server, however, MS SQL Server has some nice tools that make MS SQL Server potentially a far better choice for applications that do not need to full power of ASE. HANA of course blows everything away in terms of performance. What I don't understand …
SAP HANA is better than all the databases, it gives the power and speed to analyze billions of records, access data on cloud, easiest conversion and migration from any database to HANA. Easy to manage and configure.
High-performance, high-concurrency transactions are well suited for ASE. ASE is lacking some features in my opinion such as history tables, however there are ways to implement them via workarounds or by using Replication Server. I do think the way the ASE parser and optimizer works are far superior to other products as it is a true cost-based optimizer and the order of the tables in the FROM clause does not really matter although a good SQL coder will place the tables in a meaningful order to make the SQL more readable. ASE is good for applications that require high availability and can be used for mission critical systems.
It is well organized. One can use it for the company's portfolio management. Various tasks can be done for managerial purposes. One can track the material from start to end product: for example, raw material, packing material & consumable material to formulated bulk and formulated drug product. This can help to manage spending as well as finding costing of the product.
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.
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
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
It does almost everything we need and for the things it doesn't do natively, we are still able to do using other features. For example, natively history tables weren't supported but we were able to create them using triggers.
In addition to the points described in the previous parts of the review, I believe that as I gain more experience with the product over time, I will be able to better describe my experience with this tool. Meanwhile, I can confirm that the possibilities presented to my organization by the change to SAP HANA, at the moment, have been very important to evolve the analytical and strategic field towards a new path.
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.
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.
Much less effort than Oracle. Much better customer support than Oracle. Roughly equivalent to SQL Server in performance and ease of use. Much better customer service than SQL Server. Different ballpark from IQ. Same customer service.
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.