SAP Data Intelligence vs. SAP Data Services

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
SAP Data Intelligence
Score 8.8 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
SAP Data Services
Score 8.7 out of 10
N/A
SAP Data Services is an offering from SAP to improve data quality.N/A
Pricing
SAP Data IntelligenceSAP Data Services
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
SAP Data IntelligenceSAP Data Services
Free Trial
YesNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeOptionalNo setup fee
Additional Details
More Pricing Information
Community Pulse
SAP Data IntelligenceSAP Data Services
Features
SAP Data IntelligenceSAP Data Services
Data Quality
Comparison of Data Quality features of Product A and Product B
SAP Data Intelligence
-
Ratings
SAP Data Services
6.1
Ratings
35% below category average
Data source connectivity00 Ratings5.30 Ratings
Data profiling00 Ratings6.00 Ratings
Master data management (MDM) integration00 Ratings7.10 Ratings
Data element standardization00 Ratings6.90 Ratings
Match and merge00 Ratings5.10 Ratings
Address verification00 Ratings6.30 Ratings
Best Alternatives
SAP Data IntelligenceSAP Data Services
Small Businesses

No answers on this topic

HubSpot Data Hub
HubSpot Data Hub
Score 7.8 out of 10
Medium-sized Companies

No answers on this topic

IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.0 out of 10
Enterprises
Oracle GoldenGate
Oracle GoldenGate
Score 8.7 out of 10
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.0 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
SAP Data IntelligenceSAP Data Services
Likelihood to Recommend
8.1
(0 ratings)
6.1
(0 ratings)
Likelihood to Renew
8.2
(0 ratings)
-
(0 ratings)
Usability
8.2
(0 ratings)
-
(0 ratings)
Support Rating
7.0
(0 ratings)
8.7
(0 ratings)
Configurability
8.2
(0 ratings)
-
(0 ratings)
Vendor post-sale
9.1
(0 ratings)
-
(0 ratings)
Vendor pre-sale
9.1
(0 ratings)
-
(0 ratings)
User Testimonials
SAP Data IntelligenceSAP Data Services
Likelihood to Recommend
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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SAP Data Services is a data integration and transformation software application. It allows users to develop and execute workflows that take data from predefined sources called data stores (applications, Web services, flat-files, databases, etc.)
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Pros
  • 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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  • Extracting data from various types of data sources
  • Transforming data using joins, functions, look ups, etc.
  • Loading data into different kinds of targets
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Cons
  • 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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  • New connectivity options for cloud solutions must be added.
  • Avoid dependency from flash in Information Steward scorecard.
  • More connectivity options for hadoop distributions.
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Likelihood to Renew
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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No answers on this topic
Usability
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
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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As other SAP products, there is excellent support by SAP on this tool. You can access the SAP Help portal in order to give support either from the huge community or directly from SAP.
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Alternatives Considered
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.
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SAP Data Services is better at integration with other SAP products and data sources with native HANA connectors. There are also accelerators to consider when looking at it as a data migration tool for SAP implementations.
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Return on Investment
  • 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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  • DS has had a very positive impact by reducing deployment times for SAP and has provided ability to deploy multiple sites at the same time.
  • Ongoing master data creation/migration benefits significantly from DS, and it's easy to stand up a new business unit.
  • Data accuracy improved and manual inspections are minimal.
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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