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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

(1-25 of 31)
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Score 9 out of 10
Vetted Review
Verified User
Incentivized
To save money, we are switching to Postgre, an open-source alternative to Oracle DB, and migrating the whole database cluster. Openshift, an open-source cloud service, is also quite helpful as we look at the options for migrating to our own cloud cluster.
Score 9 out of 10
Vetted Review
Verified User
Incentivized
We are implementing with open-source database platform Postgre, in order to migrate the whole database cluster from paid Oracle DB. It comes very handy also with Openshift open-source cloud service, as we have researching the capabilities to migrate for the owned cloud cluster. In that terms, the connectors with open-source tools are implemented in proper way. Also, the tech support is great:)
Score 9 out of 10
Vetted Review
Verified User
Incentivized
We worked on an Azure environment and we’re taking in data from SAP and sometimes did development on the same on Azure Databricks using pySpark or SQL. Then we promote in the same based on the environment we were in. These were the major workflow items we used to regularly interact with.
mitchelle carter | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
We have integrated it with products within the SAP landscape; Improving data linkage and extraction from data sources and enhancing transparency. We also tried integration outside the SAP environment but it is limited.
Gauri Hiremath | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Incentivized
As mentioned earlier we have integrated SAP Data Intelligence with other SAP modules like SAP Commerce Cloud, SAP HANA, to name a few. Data transferring and exchange between these platforms has been seamless. You can also export data into excel and many other formats which allows multiple data type support.
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