Oracle Coherence vs. SAP Data Intelligence

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Oracle Coherence
Score 7.9 out of 10
N/A
Oracle Coherence is database management and development software.N/A
SAP Data Intelligence
Score 8.5 out of 10
N/A
SAP Data Intelligence is presented by the vendor as a single solution to innovate with data. It provides data-driven innovation in the cloud, on premise, and through BYOL deployments. It is described by the vendor as the new evolution of the company's data orchestration and management solution running on Kubernetes, released by SAP in 2017 to deal with big data and complex data orchestration working across distributed landscapes and processing engine.N/A
Pricing
Oracle CoherenceSAP Data Intelligence
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Oracle CoherenceSAP Data Intelligence
Free Trial
NoYes
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoYes
Entry-level Setup FeeNo setup feeOptional
Additional Details
More Pricing Information
Community Pulse
Oracle CoherenceSAP Data Intelligence
Considered Both Products
Oracle Coherence

No answer on this topic

SAP Data Intelligence
Chose SAP Data Intelligence
Unlike SAP Data Intelligence, Oracle Coherence fails to eliminate data redundancy by implementing and performing data processes slowly. Also, SAP Data Intelligence is the most robust data fabric solution that connects, manages, and analyzes large amounts of data, unlike other …
Top Pros
Top Cons
Features
Oracle CoherenceSAP Data Intelligence
Database Development
Comparison of Database Development features of Product A and Product B
Oracle Coherence
8.7
4 Ratings
2% above category average
SAP Data Intelligence
-
Ratings
Version control tools9.02 Ratings00 Ratings
Test data generation8.21 Ratings00 Ratings
Performance optimization tools9.34 Ratings00 Ratings
Schema maintenance9.02 Ratings00 Ratings
Database change management8.02 Ratings00 Ratings
Database Administration
Comparison of Database Administration features of Product A and Product B
Oracle Coherence
8.3
4 Ratings
4% below category average
SAP Data Intelligence
-
Ratings
User management8.02 Ratings00 Ratings
Database security10.01 Ratings00 Ratings
Database status reporting7.23 Ratings00 Ratings
Change management8.02 Ratings00 Ratings
Best Alternatives
Oracle CoherenceSAP Data Intelligence
Small Businesses
DBeaver
DBeaver
Score 8.3 out of 10

No answers on this topic

Medium-sized Companies
DBeaver
DBeaver
Score 8.3 out of 10

No answers on this topic

Enterprises
DBeaver
DBeaver
Score 8.3 out of 10
Talend Data Fabric
Talend Data Fabric
Score 9.4 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Oracle CoherenceSAP Data Intelligence
Likelihood to Recommend
7.8
(5 ratings)
8.1
(54 ratings)
Likelihood to Renew
-
(0 ratings)
8.2
(2 ratings)
Usability
-
(0 ratings)
7.1
(49 ratings)
Support Rating
10.0
(1 ratings)
7.2
(46 ratings)
Configurability
-
(0 ratings)
8.2
(1 ratings)
Vendor post-sale
-
(0 ratings)
9.1
(1 ratings)
Vendor pre-sale
-
(0 ratings)
9.1
(1 ratings)
User Testimonials
Oracle CoherenceSAP Data Intelligence
Likelihood to Recommend
Oracle
Oracle Coherence can be used to solve latency problems by caching data near the application tier. In-memory performance helps to reduce data contention, thus improving application response time. Oracle Coherence does a great job at scaling linearly and can do so dynamically. Oracle Coherence can replicate data so it can be part of a disaster recovery solution. One thing that is often overlooked with elastic caches is their ability to analyze data in memory, leveraging the processing power of the data grid. This is something Oracle Coherence does exceptionally well. Oracle Coherence also provided event handling capabilities to allow applications to respond to events triggered by transactions.
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SAP
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.
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Pros
Oracle
  • Performance. Superfast resolution of complex data grid queries.
  • Reliability. Availability domain support for disaster recovery.
  • Programming model. Frictionless API for use with Java 8.
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SAP
  • 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.
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Cons
Oracle
  • I can't really come up with too many flaws, but possibly a bit expensive considering there are good open source caches like Ehcache.
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SAP
  • 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.
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Likelihood to Renew
Oracle
No answers on this topic
SAP
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
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Usability
Oracle
No answers on this topic
SAP
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.
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Support Rating
Oracle
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.
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SAP
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,
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Alternatives Considered
Oracle
DataSynapse GridServer has the same cache functionality connected with a grid distributed application deployment platform. It provides all the necessary tools to configure and manage these applications. On the otherhand Oracle Coherence has more a flexible configuration and better performance. Also the Oracle configuration and monitoring tools are more convenient and informative than the DataSynapse ones.
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SAP
One of the reasons to pick SAP Data Intelligence is the speed and security it provides, in addition to the excellent support it provides. It is also compatible with all popular databases, which is another reason to choose it.
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Return on Investment
Oracle
  • In my current project, it is yet to be decided as we are on the way to make it live for users. But I am sure it will be an added value to obtain timely calculations.
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SAP
  • 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.
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ScreenShots

SAP Data Intelligence Screenshots

Screenshot of Business GlossaryScreenshot of Example of data quality operatorsScreenshot of Data profiling fact sheetScreenshot of SAP Data Intelligence Jupyter lab notebook for machine learningScreenshot of SAP Data Intelligence data pipeline using PythonScreenshot of SAP Data Intelligence example ata quality dashboard