SAP Adaptive Server Enterprise (ASE) is a transactional relational database, boasting fast, reliable online transaction processing (OLTP). SAP ASE is the company's transactional database within the SAP Business Technology Platform portfolio.
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Sybase Event Stream Processor (discontinued)
Score 4.0 out of 10
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Base on the former Aleri product, Sybase Event Stream Processor, from SAP, is currently discontinued and no longer supported, or available for sale.
Vice President, Chief Architect, Development Manager and Software Engineer
Chose SAP Adaptive Server Enterprise (ASE)
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 …
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.
IBM WebSphere business elements which was more complex to set up and also more expensive especially in a large SAP environment, We were also looking to get ramped up with the product with minimal learning curve especially with good documentation available to get started with …
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.
These complex event processing platforms have the ability to process to multiple streams of data with low latency and ability to scale up well. It provides the ability to analyze streaming data real time and establish/investigate patterns with this streaming data and also deals with high-speed data very well.
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.
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.
IBM WebSphere business elements which was more complex to set up and also more expensive especially in a large SAP environment, We were also looking to get ramped up with the product with minimal learning curve especially with good documentation available to get started with the product as well as the ability to deploy and maintain with relative ease on an ongoing basis.