Oracle Coherence vs. SAP Data Intelligence

It literally all boils down to the budget a team has. Nowadays, even investment banks look for every opportunity to cut cost. Oracle Coherence is a pretty robust and highly configurable cache application that every team should use if they can afford. If they can't, then open source code is their answer.

Incentivized

It helps our BUs analyze data and create dashboards they can understand. While slowing down with a large database, it becomes less helpful. In my experience, it is excellent in consolidating information from several sources for analysis, decision-making, and knowledge gaps. Excellent at managing information access.

Incentivized

• Distributed in memory data managment. Your data is near your data manipulator or calculator engine.
• Write behind, read through, write through concept.
• Fault tolerance and scalable.
• Continueous query, live events, map reduced aggregiation, extend client are few of the very good features I have used.

Incentivized

• It integrates well with our current ecosystem of SAP products, like HANA.
• It provides end-to-end machine learning operations, with tools for the complete model life cycle.
• It has a simple user interface for novice users, with complex tools also available for power users.
• It builds on SAP Data Hub, providing all the ETL functions of that tool with additional machine learning functionality.
• It can run in the cloud, no on-premise software management needed.
• Many programming languages are supported, it provides a sandbox environment for the user to develop in whichever style they prefer.
• SAP is very actively developing and improving it.

Incentivized

• Better documentation on setting up various use cases.

Incentivized

• Data transfer speed tends to be slow when there is poor internet connection since SAP Data Intelligence don’t synchronize data while offline. However, this is not vendor fault, that’s why we have implemented robust wireless technology internet connection in our organization.

Incentivized

Allow collaborations among various personas
with insights as ratings and comments on the
datasets Reuse knowledges on the datasets for new users Next-Gen Data Management and Artificial Intelligence

Incentivized

Good tool with lots of potential, but I still see a lot of room for improvement, e.g. when it comes to debugging functionality to understand exactly where pipelines fail and what the data at that point looks like (similar to BW debugging). Also, I am missing SAPs standard machine learning libraries (Python) to be pre-installed, among some other general usability improvements.

Incentivized

Oracle Coherence support team is responsive and knowledgeable. We contacted them to ask a couple of design questions about how we were setting up Oracle Coherence based on how we used IBM's Datapower Extreme Scale. They were able to guide us so that we got the design correct the first time and didn't have to go back and re-architect our design later.

Incentivized

Initially we struggle to get help from SAP but then dedicated Dev angel was assigned to us and that simplify the overall support scenario. There is still room of improvement in documentation around SAP Data intelligence. We struggle a lot to initially understand the feature and required help around performance improvement area,

Incentivized

Coherence kicks Redis's butt when it comes to performance and feature set. However, it lags far behind in terms of market penetration and cloud readiness.

Incentivized

Since we are big on SAP ecosystem products in our IT landscape, it was natural for us to find a best possible solution from SAP product suite. However, we still explored the products available from Informatica product portfolio, we found using SAP Data Intelligence more prudent in terms of seamless integration with lot of our other SAP products.

Incentivized

• Better performance allows us to onboard more clients
• Decom few mainframes that were needed to handle lots of DB queries
• Better customer service with intraday calculations ability.

Incentivized

• Automation of data management slashed tasks by over 60% in most departments for the first 8 months.
• Metadata catalogs have enabled us to categorize data from disjointed sources in one place.
• It runs multiple ML models which enhances flexibility when managing data.

Incentivized