SAP Adaptive Server Enterprise (ASE) vs. Tanzu Data Services (Greenplum, GemFire, RabbitMQ, Tanzu SQL)

We use this for an inbuilt security management system, where it performs well in a scaled setup with a large volume of live data with high availability. Also, the performance is up to the mark for the large statement flow. From a DBA perspective, a lot of parameters need to be fine-tuned for the specific environment needs, which can cause overhead. Expertise is limited, and the learning curve is steep for the SAP ASE.

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If you need to execute ml algorithms, learning techniques, or mathematical calculations on large amounts of heterogeneous data, VMware Tanzu Data Services will be ideal. It will be really simple to set up, particularly if you choose AWS as your integrated cloud provider. However, if you're working with lower data amounts, such as gigabytes, it can be superfluous.

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• High availability and reliability.
• High performance.
• Monitoring of threshold based events.
• Security at multiple levels.
• Query plan optimization.
• Lock management.
• Access to HANA.

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• Apache MADlib provides popular machine learning functionality.
• Allows you to query terabytes of data databases.
• Interoperability for AWS S3 is effortless.

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• A quick button for devs to switch instances into a dev mode (eliminating logs, and such).
• Licensing is far too complicated. Simplify pricing.

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• Running on Azure is a little more difficult.
• Synchronization with Kafka may be a little easier.

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Our licenses are perpetual. It is the support that we will be renewing. We will renew because we continue to use and receive value from the product.

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Well-suited in the security domain, high performance, and low latency of the DBMS. In terms of the DBA perspective, a dedicated monitoring tool (Cockpit) helps a lot in terms of managing the database, which helps in identifying bottlenecks during performance issues. Also, it helps us to send custom alerts related to Database activities.

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Incredibly responsive, saving us countless hours in troubleshooting.

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They were very helpful. We needed support for initial implementation.

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• Positive ROI.
• Ease of use with minimal training required to write high performance SQL (assumes a knowledge of SQL already).
• Ease of database administration.
• Sometimes upgrades can be difficult.
• Changing platforms can be difficult (changing say from SPARC to Intel).
• Changing operating systems can be difficult (changing from Solaris to linux).

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• There was a noticeable reduction in system reliability.
• Saw a reduction in unsuccessful analytics operations.

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A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info