SAP Data Intelligence
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 …
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…
Recent 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
Product Details
- About
- Integrations
- Tech Details
- FAQs
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
SAP Data Intelligence Videos
SAP Data Intelligence Integrations
- Oracle Database
- Alibaba Cloud Object Storage Service (OSS)
- SAP Business Warehouse
- SAP Information Steward
- SAP Integration Suite
- SAP Data Services
- SAP IQ
- Open Source such as Python, R, Go, NodeJS, Apache Kafka, etc.
- Google BigQuery, GCS, Pub/Sub, etc
- Microsoft Azure Cloud SQL Database, Data Lake, etc
- Amazon S3 (Simple Storage Service), Redshift, etc.
- SAP such as SAP HANA and SAP Business Technology Platform, SAP ABAP, SAP Cloud Applications
- SAP HANA Machine Learning
- SAP System Landscape Transformaiton
- etc
- Microsoft Azure Data Lake Store
- Azure Storage Blob
- Google Pub Sub
- BigQuery
- Cloud Dataproc cluster
- Amazone Redshift
- SNS
- S3
- IBM DB2
- HTTP
- IMAPm SFTP
- SMTP
- Rserve
SAP Data Intelligence Technical Details
| Deployment Types | On-premise, Software as a Service (SaaS), Cloud, or Web-Based |
|---|---|
| Operating Systems | Kubernetes & Docker |
| Mobile Application | No |
| Supported Countries | Global |
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 7.2.
The most common users of SAP Data Intelligence are from Enterprises (1,001+ employees).
Comparisons
Compare with
Reviews and Ratings
(98)Attribute Ratings
Reviews
(1-5 of 5)Companies can't remove reviews or game the system. Here's why
May 10, 2022
SAP Data Intelligence Future ETL Tool
Not mature enough to handle SAP Data Migration. SAP removed the trial version from the Cloud appliance library. I believe this will be the future ETL tool for all SAP Data Migration, Integration & Warehousing Projects. SAP needs to have more attention & address all gaps rapidly.
- 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
- Maturity
- Need Rapid Improvement
- Still evolving
Cloud based, Future ETL tool
yes
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.
- Data Visualization
- Report generation is convenient.
- Data can be easily exported to excel sheets.
- 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.
- Since we streamlined our business processes, we have been able to improve our working efficiency.
- Time management has improved significantly.
- Not very cost-effective
SAP Data Intelligence provides one of the best services for data visualization and handling. It provides a wide range of customizable features that enabled us to create a system as per our requirements. Pre-existing relations with other SAP modules have added an additional benefit for our organization and deployment of the same was not as complex as for other options.
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 type support.
April 05, 2022
Your Open Data Source will benefit greatly from this.
ETL is the primary focus. Connections and validations between all sources of information. When it comes to large data management, SAP is a must-have. We were able to cut down on processing time and increase the output of our data team as a result.
- 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.
- Has made a significant impact on the reduction of our operational expenses.
- Through its analysis, it has also provided us with updated and enhanced information.
- SAP Data Intelligence has made data processing and analysis a breeze.
February 07, 2022
Data Catalog, Metadata Management, Data Quality and Event Processing Made Easy by SDI
Score 10 out of 10
Vetted Review
Verified User
In my organization, SAP Data Intelligence is used in a few selected departments. It helps me to integrate data from flat files and external applications, process, and manage it in one spot.
- 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.
- Data ingestion, processing, and enrichment automation require no manual procedures.
- No-code environment saves time
- Integration with SAP and non-SAP tools improves productivity.
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.
SAP S/4HANA Cloud<br>SAP Analytics Cloud
February 05, 2022
Data Management and Analytics has Enabled Us to Deliver Data-Driven Recommendations via SAP Data Intelligence
SAP Data Intelligence is used in all company departments, but not all employees use it at workstations. On my end, it helps me to better understand business data by discovering, connecting and enriching unstructured, geospatial, and structured disjointed data in SAP and non-SAP sources.
- 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.
- Automation of data management slashed tasks by over 60% in most departments for the first 8 months.
- Metadata catalogs have enabled us to categorize data from disjointed sources in one place.
- It runs multiple ML models which enhances flexibility when managing data.
- TIBCO Cloud Integration (including BusinessWorks and Scribe)
Unlike SAP Data Intelligence, TIBCO Cloud Integration is overpriced and does not run a large number of ML models such as Python, Go, R among other open sources.
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.
Hadoop SAP Integration Suite Spark