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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 29)
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Score 9 out of 10
Vetted Review
Verified User
Incentivized
We have implemented the integration with SAP 4HANA from another project for the delivery of the properly developed ETL pipelines. Moreover, we have used and utilized the connectors for the data sources such as Oracle, Postgre, and tried to integrate with MongoDB (with NRDBMS - it is not so easy to use). Also, we are integrating with cloud services such as AWS and Microsoft Azure.
Score 9 out of 10
Vetted Review
Verified User
Incentivized
We made use of the GitHub and Azure connector in order to automate our testing environment which had to go through regular testing and training in order to make a trend analysis model and this connector in particular helped us the most. Additionally we also made use to Microsoft Dynamics CRM connector.
Score 8 out of 10
Vetted Review
Verified User
Connectors used mainly involved :
Table Consumer
Table Producer
Write HANA Table, Read HANA Table
Custom ABAP Operator, etc.
These operators come pretty handy for complex operations in order to generate a more consolidated output.
Emily Barkley | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Incentivized
We rely more on Cloud connectors for SAP and non-SAP. The connection between SAP HANA and SAP Data Intelligence has simplified the extraction of data on reports.
January 18, 2022

For data management

Yeo Sueiro Lee | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Incentivized
Applied connectors are ABAP-based connection types that link SAP Data Warehouse Cloud to the following systems: SAP S/4HANA on-premises: SAP S/4 HANA (starting with 1909 FPS01, including SAP Note 2873666 - SAP Data Hub / Data Intelligence ABAP Integration - TCI note for SAP ABA 1909 SP0/SP1) With optimization outcomes, it's a pleasurable and easy experience.
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