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SAP Data Intelligence

SAP Data Intelligence

Overview

What is SAP Data Intelligence?

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…

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Recent Reviews

SAP Data Intelligence

8 out of 10
March 21, 2024
Incentivized
We have BW/HANA for Enterprise Finance data hub. We source data from multiple sources into this data hub. We build reports on top of this …
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Awards

Products that are considered exceptional by their customers based on a variety of criteria win TrustRadius awards. Learn more about the types of TrustRadius awards to make the best purchase decision. More about TrustRadius Awards

Reviewer Pros & Cons

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Product Details

What is SAP Data Intelligence?

SAP Data Intelligence aims to transform distributed data sprawls into vital data insights, to deliver innovation at scale. It is a data management solution that connects, discovers, enriches, and orchestrates disjointed data assets into actionable business insights at enterprise scale. It enables the creation of data warehouses from heterogeneous enterprise data, management of IoT data streams, and facilitates scalable machine learning.

SAP Data Intelligence aims to allow users to leverage business applications to become an intelligent enterprise and provides a holistic, unified way to manage, integrate, and process all your enterprise data.

With SAP Data Intelligence users can:

1. Discover and connect to any data, anywhere, anytime from a single enterprise data fabric

2. Transform and augment data across complex data types and curate a robust searchable data catalog

3. Implement intelligent data processes by orchestrating complex data flows enriched with scalable, repeatable, production grade machine learning pipelines


SAP offers an overview video, a product trial, and also allows readers to explore business use cases for SAP Data Intelligence.

SAP Data Intelligence Features

  • Supported: Data catalog
  • Supported: Data pipelines
  • Supported: Operationalize machine learning
  • Supported: Data Profiling
  • Supported: Self-service data preparation
  • Supported: Monitor data processes
  • Supported: Business glossary
  • Supported: Business rules
  • Supported: Data Quality
  • Supported: Data integration
  • Supported: Data orchestration
  • Supported: Python, R, Go, and other open source operators
  • Supported: Native operators for SAP solutions

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 dashboardScreenshot of SAP Data Intelligence connectionsScreenshot of SAP Data Intelligence Metadata ExplorerScreenshot of SAP Data Intelligence Example of Table Consumer Pipeline

SAP Data Intelligence Videos

SAP Data Intelligence Integrations

SAP Data Intelligence Technical Details

Deployment TypesOn-premise, Software as a Service (SaaS), Cloud, or Web-Based
Operating SystemsKubernetes & Docker
Mobile ApplicationNo
Supported CountriesGlobal

Frequently Asked Questions

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.

Reviewers rate Support Rating highest, with a score of 7.3.

The most common users of SAP Data Intelligence are from Enterprises (1,001+ employees).
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Comparisons

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Reviews and Ratings

(102)

Attribute Ratings

Reviews

(1-1 of 1)
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Holger Zecha | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Incentivized
SAP Data Intelligence validation on NetApp storage technology in compination with RedHat OpenShift and SUESE Rancher Kubernetes Cluster. Validation was done for all NetApp solutions which are supported from NetApp Trident and are able to provide iSCSI LUNs. Goal of the validation has been, to enable NetApp customers a seamless usage of NetApp storage for mixed SAP workloads.
  • It runs in Kubernetes
  • Easy deployment with Installer also running in Kubernetes
  • Integration with S/3 compatible object storage on-prem and in public cloud
  • In case of failures, identifying the errors in the Kubernetes cluster is a mess
  • The certificate handling could be made easier to run SAP Data Intelligence with self signed certificates for non-prod environments
I just used Data Intelligence from in infrastructure point of view to validate NetApp storage for SAP Data Intelligence. Therefore I run only test scenarios which need to be run, to pass the SAP Data Intelligence validation. The scenarios need for passing the validation are just used to validate that the underlying infrastructure is fulfilling the SAP requirements.
  • Unfortunately this question did not apply with regards to the NetApp validation
RedHat OpenShift and SUSE Rancher are the two Kubernetes technologies for running SAP Data Intelligence on-prem.
Support from SAP and collaboration with RedHat and SUSE was very good to achive the validation within a short time frame!
A better error logging and tracing would simplify troubleshooting. A lot of details regarding errors and how to solve them are only visible within the Kubernetes pods itself. I am not sure if SAP Data Intelligence is able to improve this situation, because it may be related to the Kubernetes architecture itself and improving things might require changes inside Kubernetes.
We only used the connectors which are required to pass the validation.
Shell integration for executing shell scripts and the machine learning integration for testing the S/3 compatible object storage NetApp StorageGrid
1
Solutions Architect SAP
1
Infrastructure knowledge in LAN, storage technology, iSCSI, Kubernetes especiallyRed Hat OpenShift and SUSE Rancher. In addition knowledge in certificate handling for setiing up the necessary prerequisites like a docker repository. In addition it is also necessary to understand how the S/3 protocol works.
  • Connecting NetApp storage
  • Deliver customers a better ROI when using NetApp storage
  • Supporting customer for hybrid use cases
  • Not applicable, since we only did the validation for NetApp storage
  • Not applicable, but we will validate subsequent versions of SAP Data Intelligence on NetApp storage
We re-validate subsequent version of SAP Data Intelligence, for our customers!
No
  • Other
We did not purchase SAP Data Intelligence, we used the included 30 day license to finish the validation of SAP Data Intelligence for NetApp storage
Not applicable!
Using Kubernetes made the configuration and installation quite easy - if everything works well. If issues arise it is difficult to do a proper analysis, because of the distributed nature of Kubernetes
Not applicable
No - we have not done any customization to the interface
No - we have not done any custom code
Not applicable
  • Using container technology and running SAP Data Intelligence inside a Kubernetes Cluster has been a good choice
  • Deployment using the new installer is easy
  • Error analysis when some pods do not start
Cooperation with Red Hat for Red Hat OpenShift validation, with SUSE for SUSE Rancher validation and also with SAP was very good!
SUSE, Red Hat and SAP are NetApp partners.
Not applicable!
Not applicable!
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