SAP Data Intelligence

SAP Data Intelligence

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Top Rated
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Score 8.6 out of 100
Top Rated
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

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How SAP Data Intelligence Differs From Its Competitors

Integrations

Shell integration for executing shell scripts and the machine learning integration for testing the S/3 compatible object storage NetApp StorageGrid
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Connectors

HANA data connectors work well, others were varied and we had no issue using them without going into specifics which ones we leverage.
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Connectors

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 …
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Integrations

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.
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Connectors

Data connection with our cloud servers has provided reliable infrastructure for data migration. Data engineers in the organization have build reliable system for data orchestration and visualization. My software engineering team has improved quality of our products by ensuring that we get first …
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Integrations

We have successfully integrated the product with SAP Data Services that has unlocked hidden business inefficiencies. It has accelerated data functionalities and build unified data processing system. It has integrated effectively with microservices for location data that connects data from all the …
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Connectors

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.
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Connectors

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 …
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Integrations

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 …
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Connectors

Connectors used were for the ERP based systems along with 8-10 other systems like Salesforce, Hubspot etc.
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Integrations

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.
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Connectors

API's for non-native integrations using Mulesoft along with native SAP integrations between SAP product suite.
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Integrations

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 …
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Connectors

Standard connectors; both native and open protocols for SAP and non-SAP improve efficiency, saves time, and improve ROI. HDFS, SAP API Business Hub and REST APIs are the main connectors that I use.
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Connectors

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.
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Connectors

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 …
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Connectors

SAP Data Intelligence allocates a lot of connectors for SAP and non-SAP applications. SAP HANA client, HTTP Client and OpenAPI Client are the main connectors that we use.
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Integrations

Spark and Hadoop and python are the main integrations that we use with SAP Data Intelligence, which streamlines data integration. Python integration with SAP Data Intelligence improves machine learning processes.
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Connectors

  • SAP Cloud Connector
  • Microsoft Azure Data Lake Store (ADL)
  • Microsoft SQL Server database
  • SAP Cloud Platform Open Connectors
  • Google Cloud Dataproc cluster
Your authority in this case will be very high and the support team will do all the connection settings for you and you will be able to connect …
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Integrations

  • Python
Connect with Python and set up and execute custom code and mechanize your requests as well as improve machine learning processes
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Awards

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Reviewer Pros & Cons

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Video Reviews

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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 Competitors

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.

Talend Data Fabric are common alternatives for SAP Data Intelligence.

Reviewers rate Support Rating highest, with a score of 8.

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

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Reviews

(1-25 of 42)
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Holger Zecha | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
  • 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
  • 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
  • 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.
Carmen Flitton | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
  • Data protection from malware attacks.
  • Prediction of future business performance.
  • Analysis of structured and unstructured data.
  • Data validation.
  • Data analysis is difficult for the first time users from the dashboards.
  • Familiarization with all the features might take time.
  • The overall performance is good after full deployment.
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.
Score 8 out of 10
Vetted Review
Verified User
  • 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
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.
Score 5 out of 10
Vetted Review
Reseller
  • Data Quality Management
  • Data Science Capability
  • Data Orchestration
  • SAP S/4HANA BAPI, IDOC, API Adapters
  • ETL Components to perform complex transformation
  • User Friendly, Drag & Drop functionality with no code
Score 8 out of 10
Vetted Review
Verified User
  • Additionally, you have the option of exporting your filtered data to Excel for additional analysis.
  • AP As far as software goes, it's well-known and rock-solid.
  • Has both on-premise and private cloud deployment options.
  • Only a few posts a month.
  • SAP offers free trials for other services, such as SAC, but not for SAP Data Intelligence, which does not have a free tier.
  • Occasionally, it appears to be older software.
Score 10 out of 10
Vetted Review
Verified User
  • Nice and centralized dashboard for monitoring the data and KPI's.
  • The breadth of services provided.
  • The consulting team provides the right approach of your data and how it is used for better data analytics.
  • Overall product functionalities and product roadmap.
  • Customer service and support.
  • Improvement in efficiency to upload large volume of data.
  • Addition of advanced visualizations such as charts, graphs, etc.
  • Centralized and ad-hoc reports shall be improved.
  • Data integration with other new and advanced source connectors shall be improved.
Andrea McConnell | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
  • Is deployed both on-premise in our data and on private cloud
  • Enhance data governance through discovery, profiling, and cataloging data
  • Data orchestration and monitoring
  • Can’t complain since vendor support team offers free assistance, automatic updates, and detailed documentation for tutorials.
Emily Barkley | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
  • Has robust tools that make it easy to process disparate data.
  • Machine learning capabilities improve innovation and enhance streamlined operations.
  • Offers comprehensive metadata management rules, which improve compliance.
  • Unfortunately, SAP offers a free trial for other services such as SAC, but they failed to include a free tier for SAP Data Intelligence.
Karen Bert | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
  • we can look for the data (that we require) from anywhere and can have access at any time.
  • We can transfer our data to excel and can perform further actions on it. hence data integration is amazing.
  • We can filter our data using multiple filters.
  • Great Pipeline.
  • Templates.
  • No frequent updates.
  • Clunky sometimes.
  • Pricy is unfair.
  • Poor customer service.
January 18, 2022

For data management

Yeo Sueiro Lee | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
  • SAP Data Information allows for the extraction and analysis of data and intelligence needed to improve the organization's and customers' services.
  • By applying filters to SAP Data Intelligence, you may create personalized reports.
  • Updates to the user interface are required.
  • The cost of a plan membership is pretty expensive.
Pankaj Brahmbhatt | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
  • Easily store and manage data.
  • Makes it simple to prepare data quickly.
  • Data discovery and enrichment.
  • Data warehousing.
  • SAP Data Intelligence interface looks outdated and I would like to see more upgrades and improvements on this.
Score 10 out of 10
Vetted Review
Verified User
  • Data orchestration enhanced by SAP Data Intelligence enables to get high data value and analytics.
  • Improved innovation by utilizing machine learning to transform data from prototype to deployment.
  • Connect, integrate, and orchestrate data from multiple cloud and on-premises applications.
  • 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.
Syed Asad Siddique | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
  • This application puts a strong grip on the Data Management in the most genius and advanced way.
  • This application leverages our organization in the most insightful manner.
  • Balance proportion of using this application that it provide a huge hub as a Data-Warehouse.
  • This application provides our record which is in the most disarray form transfigure into most integrated and more data value.
  • Using SAP Data Intelligence is the way we define our company's data in the most unified way.
  • Data transfer speed should be boosted up requiring a smart solution wizard.
  • Machine learning is quite good, but this application should go thorough smart support for the user as this application is working as a Data Intelligence.
  • Tool should be more synchronized with some more positive aspects like SAP DI enterprise edition.
  • Complex integration should be removed from this application because it creates hurdles for the end user.
  • End user customer facilitation support should not be bother.
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