Skip to main content
TrustRadius
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…

Read more
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 …
Continue reading
Read all reviews

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

View all pros & cons
Return to navigation

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).
Return to navigation

Comparisons

View all alternatives
Return to navigation

Reviews and Ratings

(102)

Attribute Ratings

Reviews

(1-25 of 54)
Companies can't remove reviews or game the system. Here's why
March 21, 2024

It's all about the UI

Score 5 out of 10
Vetted Review
Verified User
Incentivized
  • Nice Graphics
  • Many Different Products - SAC, BOBJ HANA with AO
  • SAP has historically built products which are not easy to use
  • UI is lacking
  • I want it to be like an App on my phone and not take a manual to figure out
Score 9 out of 10
Vetted Review
Verified User
Incentivized
  • Automate workflows
  • Deploy Machine Learning Models
  • Data Visualization
  • Data Management and Monitoring
  • Faced issues while testing our lower environments with new patches
  • Installations process is quite complex, chances of mistakes are high
  • Hard to perform operations on semi structured data
  • Performance gets slow while handling large datasets
Score 9 out of 10
Vetted Review
Verified User
Incentivized
  • Lessen the total processing time.
  • Compatible with a wide variety of add-ons.
  • Failures in a Kubernetes cluster might be difficult to diagnose.
  • I think it's easy for mistakes to be made during installation.
Score 8 out of 10
Vetted Review
Verified User
Incentivized
  • Low Code pipeline build
  • Replication of data from source systems to target
  • API capability
  • All environments are updated with latest notes and this impacts production systems without an opportunity to test our lower environments with new patches
  • Faced quite a few issues with SAP Data Intelligence connectivity to SAP ECC and a considerable set of notes applied to both SLT and ECC to fix the issues
Score 8 out of 10
Vetted Review
Verified User
Incentivized
  • SAP DI helps us connect data from individual departments and then use that data to create integrated dashboards.
  • It provides features such as the ability to create pipelines for data integration and easy data manipulation.
  • Reports needs to be more customizable when using filters.
Score 9 out of 10
Vetted Review
Verified User
Incentivized
  • Good integration and data migration functionalities (from one DB cluster to another)
  • provision and support of different level of data access (tabular format level, ETL layer level, ODP level)
  • Reasonable pricing (pay-as-you-use strategy, without overhead cost implemented)
  • High entry level of usage - for some users like me it is hard to get things performed without referring to the tech support and their documentation
  • the management and control of the source code imposes the difficulties in terms of ease of usage - with complex projects this issue is critical and becomes a bottleneck for the further development processes implemented
  • as easy it is to manipulate and perform operations on tabular data, as hard it is to work with non-relational database entities such as semi-structured documents and files
Score 9 out of 10
Vetted Review
Verified User
Incentivized
  • Integrates well with 3rd party tools
  • Allows direct manipulation of external databases
  • Allows synthesis and consolidation of data sources
  • The tool can become slow when dealing with large datasets
  • The tool can be overwhelming to learn because of its breadth of features and options
  • Pricing can be tricky for multiple licenses (at least for us)
Holger Zecha | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Incentivized
  • 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
Score 8 out of 10
Vetted Review
Verified User
Incentivized
  • Lineage at the object level
  • Pipeline build for Data Integration
  • Data Catalog for self-service analytics
  • Lineage at attribute(column) level to help Impact Assessment (just like SAP Information Steward)
  • Lineage on non-SAP sources could be a game changer, most of the companies fail in this area which will be an eye opener for customers like us.
  • on Data Integration space, Provide Detailed Road Map on SAP DI compared to SAP Data Services(aka BODS) and SAP SDI
November 16, 2022

SAP Data Intelligence

Score 10 out of 10
Vetted Review
Verified User
Incentivized
  • Product Master Data Validation.
  • Customer Master Data Validation.
  • Vendor Master Data Validation.
  • Data Intelligence has no out-of-the-box functionality to retrieve the classification data of suppliers.
  • Data Intelligence has no out-of-the-box functionality to retrieve characteristics data of products.
  • Implement data intelligence for missing pricing, standard cost, and one consolidated report for all master data.
Score 8 out of 10
Vetted Review
Verified User
  • Simplified design techniques available to create integration using pipelines.
  • Extensive possibilities of data integration by using various operators provided.
  • Data Lake provided, which can be a good option to be used as a staging area.
  • Link to ABAP system can be improved.
  • Debug option can be further simplified or made more user friendly.
mitchelle carter | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
  • Easy access to all data sources.
  • Data integration with data pipelines
  • Analytics drive useful insights on the data.
  • Connection with several data sources.
  • Filter application on reporting.
  • Integration with products other than SAP is limited.
Return to navigation