Oracle Data Service Integrator vs. SAP Data Intelligence

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Oracle Data Service Integrator
Score 6.4 out of 10
N/A
Oracle Data Service Integrator provides companies the ability to develop and manage federated data services for accessing single views of disparate information. Oracle Data Service Integrator is standards based, declarative, and enables re-usability of data services.N/A
SAP Data Intelligence
Score 8.2 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 Data Service IntegratorSAP Data Intelligence
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Oracle Data Service IntegratorSAP 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 Data Service IntegratorSAP Data Intelligence
Top Pros
Top Cons
Best Alternatives
Oracle Data Service IntegratorSAP Data Intelligence
Small Businesses

No answers on this topic

No answers on this topic

Medium-sized Companies
SAP HANA Cloud
SAP HANA Cloud
Score 8.7 out of 10

No answers on this topic

Enterprises
Delphix
Delphix
Score 9.8 out of 10
Talend Data Fabric
Talend Data Fabric
Score 9.5 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Oracle Data Service IntegratorSAP Data Intelligence
Likelihood to Recommend
6.5
(2 ratings)
7.6
(55 ratings)
Likelihood to Renew
-
(0 ratings)
8.2
(2 ratings)
Usability
-
(0 ratings)
8.0
(50 ratings)
Support Rating
-
(0 ratings)
6.6
(47 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 Data Service IntegratorSAP Data Intelligence
Likelihood to Recommend
Oracle
Once Oracle Data Service Integrator is set up properly, it is quite simple to snatch data from a myriad of disparate sources and put them into a single repository. Due to cost factors, it is not for the faint of heart; however, if you can handle it, the benefits will quickly outpace the initial investment. To take full advantage of the power of ODSI, I would recommend the training that Oracle provides.
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SAP
If you have an SAP products ecosystem in your IT landscape, it becomes a no-brainer to go ahead with an SAP Data Intelligence product for your data orchestration, data management, and advanced data analytics needs, such as data preparation for your AI/ML processes. It provides a seamless integration with other SAP products.
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Pros
Oracle
  • Very easy to use. Very easy to just grab data when needed.
  • Very robust and has so many features to move and transform data.
  • Functionality is very easy to implement with other Oracle data products.
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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
  • If not bundled with other products, the price can be prohibitively expensive
  • SAP connectors tend to be a little expensive and slightly difficult to use
  • The audit module had some difficulties debugging failed instances
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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
I think the troubleshooting process might be streamlined with improved error recording and tracing. A lot of information about issues and how to fix them is hidden away in the Kubernetes pods themselves. I'm not sure whether SAP Data Intelligence can fix this problem it may be connected to Kubernetes's design, in which case fixing it could need modifications inside Kubernetes itself.
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Support Rating
Oracle
No answers on this topic
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
While we tested and evaluated multiple data service providers, we came to choose Oracle Data Service Integrator since our infrastructure was so heavily dependent on Oracle software. The implementation would be easier and the difference in the number of features and performance wasn't enough to sway us in another direction.
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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
  • It provided terrific bulk data movement and data transformation services which we desperately needed
  • It allowed to reduce development costs and lower the total cost of ownership among disparate architectures
  • The enterprise edition's ELT allowed us to generate native code for wildly varied RDBMS
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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