SAP Data Intelligence

SAP Data Intelligence

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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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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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