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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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Learn from top reviewers

Data Intelligence with SAP(Is it worth?)

Rating: 7 out of 10
October 3, 2024
Vetted ReviewVerified User
I use SAP Data Intelligence for Sending the Financials & Material inventory data from S/4H to Azure Data lake Should have the knowledge on the terminators and connectors.
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Kishore Challa
Manager - Information Technology
SAP Technical Manager
Syntax
SAP Data Intelligence2 years of experience

A great product from SAP for your data orchestration and data management needs

Rating: 9 out of 10
August 2, 2024
IncentivizedVetted ReviewVerified User
SAP Data Intelligence is helping us solve the following business problems. 1. Handle huge volumes of data coming from a variety of sources. 2. Orchestrate data pipelines wit...
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Verified user
Professional
SAP Data Intelligence2 years of experience

SAP Data Intelligence

Rating: 8 out of 10
March 21, 2024
IncentivizedVetted ReviewVerified User
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 data hub to support Financial managem...
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Verified user
Manager
SAP Data Intelligence3 years of experience

It's all about the UI

Rating: 5 out of 10
March 21, 2024
IncentivizedVetted ReviewVerified User
To make informed decisions quickly and data that may evolve. Lastly to determine where the company should spend its time.
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Verified user
Administrator
SAP Data Intelligence3 years of experience

SAP Data Intelligence Tool Review

Rating: 8 out of 10
March 21, 2024
IncentivizedVetted ReviewVerified User
Replication from S4 to AWS S3 then to RDS instance
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Verified user
Engineer
SAP Data Intelligence1 year of experience
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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

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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 Usability 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 From Top Reviewers

View all reviews
(1-5 of 55)

Data Intelligence as Data Integration Platform

Rating: 7 out of 10
Incentivized
October 22, 2020
AK
André Küster
SAP Enterprise Architect
thyssenkrupp (Industrial Automation, 10,001+ employees)
Vetted Review
Verified User
SAP Data Intelligence
1 year of experience
View profile
Use Cases and Deployment Scope
We are currently conducting a feasibility study to which extent DI is a candidate for a company wide data integration platform. The current focus is seamless and simple data source integration in SAP and non-SAP environments. After extraction relevant data is stored on a DI based data lake for consumption of analytics and reporting applications. Data lakes are kept up to date by real time delta updates from the sources.
Pros
  • Integration with SAP sources
  • Real time source data access
  • State of the art UI and tooling
Cons
  • Enterprise readiness features
  • Overall solution stability
  • Reusables for data lake management
  • More detailed monitoring layers for external access
Likelihood to Recommend
It draws its strength by being part of the SAP ecosystem. Easy integration with SAP sources of all kinds without a lot of custom development or the need for additional adapters. It has some room for improvement in case it’s used for data integration. While the procurement of data is quite extensive, the provision of data to consumers can still be improved.

Intelligent data with SAP Data Intelligence

Rating: 10 out of 10
Incentivized
December 14, 2021
SU
Sherman Urrutia
Chapter Member
Startup Grind (Events Services, 11-50 employees)
Vetted Review
Verified User
SAP Data Intelligence
5 years of experience
Use Cases and Deployment Scope
Hav]ing used SAP Data Intelligence for 4 before coming to Harvest that I've continued to support other users for another year after advising for its installation, it's been widely used across departments like marketing, mostly to gather responsive departmental data easily.
Pros
  • Processing of data has been so convenient thanks to SAP Data Intelligence.
  • Convenient to use as comes with in built learning machine.
  • Manages and stores a wide variety of data even raw.
Cons
  • None that I can talk of.
Likelihood to Recommend
Really works fine on analyzing of data and processing which have been of really great help since I was at my first company.

Intelligent Data with SAP Data Intelligence

Rating: 8 out of 10
September 29, 2022
Verified User
Former Employee in Information Technology
Automotive Company, 10,001+ employees
Vetted Review
Verified User
SAP Data Intelligence
1 year of experience
Use Cases and Deployment Scope
Scenario:
Landscape Transformation from Oracle to SAP S/4 HANA.
SAP Migration Cockpit used for Data Migration.
Used Staging Table approach to Migrate the data and create the relevant data in the Target S/4 HANA System.
SAP Data Intelligence was used to bring data from the source system to SAP Migration Cockpit.
The data was extracted from the Oracle Database in the Source by creating SAP Data Intelligence Pipelines or Graphs and then updated in the Staging Table for the corresponding Migration Objects in the SAP Migration Cockpit.
Pros
  • 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.
Cons
  • Link to ABAP system can be improved.
  • Debug option can be further simplified or made more user friendly.
Likelihood to Recommend
Scenario:Landscape Transformation from Oracle to SAP S/4 HANA.SAP Migration Cockpit used for Data Migration.Used Staging Table approach to Migrate the data and create the relevant data in the Target S/4 HANA System.SAP Data Intelligence was used to bring data from the source system to SAP Migration Cockpit. The data was extracted from the Oracle Database in the Source by creating SAP Data Intelligence Pipelines or Graphs and then updated in the Staging Table for the corresponding Migration Objects in the SAP Migration Cockpit.

Data Intelligence is the perfect tool to be used in such scenarios where source is a non SAP System.

Driven Data Intelligence with SAP Data Intelligence

Rating: 9 out of 10
Incentivized
October 25, 2023
Verified User
Analyst in Information Technology
Information Technology & Services Company, 201-500 employees
Vetted Review
Verified User
SAP Data Intelligence
2 years of experience
Use Cases and Deployment Scope
We use SAP Data Intelligence to build data pipelines to streamline the processes of data cleaning and transformation which further helps to identify key insights and create dashboards. It helps us to easy consolidate data from varied sources and automate data processes which further helps us to easy deploy ML models in order to get data-driven solutions for specific usecases.
Pros
  • Automate workflows
  • Deploy Machine Learning Models
  • Data Visualization
  • Data Management and Monitoring
Cons
  • 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
Likelihood to Recommend
It is well suited to augment data from multiple resources (including APIs) and automate workflows. Dashboard helps in easy analyse and monitoring the key KPIs. However, advance visualization features are missing.
Further, deploying ML models with ease is a plus. Also, its multiple language support ( Python, R etc) helps user to easy write code.

Data handling made efficient with SAP Data Intelligence

Rating: 8 out of 10
Incentivized
May 03, 2022
GH
Gauri Hiremath
Consultant
Experience Commerce (Marketing & Advertising, 501-1000 employees)
Vetted Review
Verified User
SAP Data Intelligence
1 year of experience
View profile
Use Cases and Deployment Scope
We use SAP Data Intelligence mainly for Data visualization, Export data, and Data filtering. We use it across all our departments and it has enabled us to streamline all our critical processes. It is a robust tool for controlling and assessing data that helps us in making informed decisions. Overall it has been beneficial for our business outcomes.
Pros
  • Data Visualization
  • Report generation is convenient.
  • Data can be easily exported to excel sheets.
Cons
  • It is not the best when it comes to scalability.
  • Lack of provision for a free trial.
  • Customer service is not up to the mark.
Likelihood to Recommend
SAP Data Intelligence has served us for several purposes mainly for processing big data. It has allowed us to bridge the gap between the Information technology and Business side within our organization. It can easily work with both structured and unstructured data. Analytical solutions like reporting and auditing have been made hassle-free due to SAP Data Intelligence.
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