SAP Data Intelligence

SAP Data Intelligence Reviews

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Score 9 out of 10
Vetted Review
Verified User
Review Source
  • It works nicely with our existing SAP environment, including HANA.
  • It offers end-to-end deep learning procedures, as well as tools for the whole model lifespan.
  • It includes a basic user experience for the average user, as well as advanced features for advanced users.
  • The admin solutions are still in progress; for the time being, most administrative activities must be handled using SAP.
  • The information and use group are currently being produced and need to be updated.
  • Changes can occasionally cause unwelcome instability.
Syed Asad Siddique | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Review Source
  • 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.
Niloofar Keshvari Nia | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Review Source
  • Import data from all sources
  • Ability to receive information from SAP or non-SAP
  • Modular Cloud-based Serverless Smart Architecture
  • Data Transfer must be faster and need smart wizard
  • Data Merge features needs more development
David Bertsche | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Review Source
  • It integrates well with our current ecosystem of SAP products, like HANA.
  • It provides end-to-end machine learning operations, with tools for the complete model life cycle.
  • It has a simple user interface for novice users, with complex tools also available for power users.
  • It builds on SAP Data Hub, providing all the ETL functions of that tool with additional machine learning functionality.
  • It can run in the cloud, no on-premise software management needed.
  • Many programming languages are supported, it provides a sandbox environment for the user to develop in whichever style they prefer.
  • SAP is very actively developing and improving it.
  • The administration tools are still in development, currently SAP must be contacted for most admin tasks.
  • Updates sometimes introduce unwanted instabilities.
  • The documentation and examples use cases are still being written and need to be expanded.
Ali Kazempour | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Review Source
  • Powerful and very fast in processing big data under secure cloud servers
  • Merging and refining and easy transformation data.
  • Machine Learning performs very well but can still grow and deliver better results with the help of artificial intelligence
  • It is still a fledgling platform that can grow well. I expect better and more professional integrations on this platform.
Manoj Kumar Das | TrustRadius Reviewer
Score 7 out of 10
Vetted Review
Verified User
Review Source
  • AI-powered data extraction Software, Powered ML Engines that can transform your structured, unstructured, and streaming data into useful business insights.
  • GPU support for inference on ML models for your one premise installation.** BYOM**
  • The mode-option is for storage types that supports ADL or HDFS. Object stores such as S3 and SDL are not supported to append operation on storage level.
  • It gives opportunity to utilize OCR, ICR, IDR technology to support the business needs
  • Enhance ML capability between on-premise and cloud version.
  • The capturing of pure voice records and voice forms similar to other businesses forms of communication such as (email, web forms, fax).
  • Data integration services with other ML tools are more complex. Workflows could have been more simplified.
Score 9 out of 10
Vetted Review
Verified User
Review Source
  • Can use a wide range of SAP support like SAP HANA and languages like Python
  • Its easy and efficient to use
  • Eases the whole process from data prep to creating model
  • Too many load issues
  • Can do better in terms of reporting functions; some features for data manipulation could be made better
  • Can improve customer support
Prabhu Sundararaj | TrustRadius Reviewer
Score 7 out of 10
Vetted Review
Verified User
Review Source
  • Numerous packages to build business specific models
  • It supports telemetry data to process and organize for analysis
  • Well-performing batch processing pipelines and useful data cleansing tool
  • Need more learning resources to dive deeper into the application to provide more business problem resolutions
  • Application cost is high
  • When it comes to bug fixes, it takes a long time to locate the issue
Ben Williams | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Review Source
  • Easy to pick up.
  • Tools for data cleansing.
  • Able to use existing learning models from the business.
  • Operates on cloud.
  • Not made for working with others.
  • Debugging is needlessly complicated and obfuscates issues.
  • Documentation could use more examples to highlight points.
Score 10 out of 10
Vetted Review
Verified User
Review Source
  • Artificial Intelligence and Machine Learning capabilities that help in data preparation and data modelling
  • Rich data visualization capabilities
  • Secure and strong data governance options
  • SAP DI is a great product. SAP needs to provide more walkthroughs and examples for starters to gain more value out of the tool.
Score 7 out of 10
Vetted Review
Verified User
Review Source
  • Provides lots of standard operators and default pipelines
  • Good Python notebook integration for data discovery
  • Graphical UI to develop pipelines reduce amount of code written
  • Better documentation with examples of how to use connectors (i.e. what input/output must look like)
  • Debugging functionality required to understand where pipelines fail and how data looks at that point
  • SAP libraries (e.g. python hana_ml) should be STANDARD and pre-installed to avoid dockerfiles and other workarounds
  • Dockerfile execution takes long times without giving a status where it is failing/held up
  • HANA Read/Write Table operator throws TLS errors which are unlikely when HANA connection generally works
Score 7 out of 10
Vetted Review
Verified User
Review Source
  • Easy handling even without prior experience
  • Possibility to use Python and R libraries
  • Debugging pipeline failures is not as easy and straightforward
  • When working with SAP DI, new tabs get opened frequently when actions are performed. Having 10+ open tabs is not very handy
Score 8 out of 10
Vetted Review
Verified User
Review Source
  • The best thing about SAP is that we can track our daily expenses in very little time.
  • This affects my business even more than Microsoft 365.
  • It updates us on our expenses and sales daily.
  • I wish it the acronyms made more sense.
  • Sometimes it's functionality is little bit slow.
  • Data integration services with other machine language tools were more complex. Workflows could have been simplified on this front.
November 30, 2020

SAP DI - A quick review

Score 8 out of 10
Vetted Review
Verified User
Review Source
  • Data orchestration from diverse sources.
  • Good inbuilt support to develop models (Jupyter Notebook).
  • Data pipelines, container architecture for deployment.
  • Tools for data cleansing.
  • Ability to port existing ML models into DI.
  • Product support documentation and blogs can be better.
  • Debugging can take a bit of time to understand and pinpoint issues.
  • Can be pricey.
Score 9 out of 10
Vetted Review
Verified User
Review Source
  • Great machine learning capabilities
  • Many possibilities to connect source systems and interact with it
  • Operation on cloud reduces administration tasks to a minimum
  • Great Governance capabilities
  • Still fairly new product

SAP Data Intelligence Scorecard Summary

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

Business GlossaryExample of data quality operatorsData profiling fact sheetSAP Data Intelligence Jupyter lab notebook for machine learningSAP Data Intelligence data pipeline using PythonSAP Data Intelligence example ata quality dashboardSAP Data Intelligence connectionsSAP Data Intelligence Metadata ExplorerSAP Data Intelligence Example of Table Consumer Pipeline

SAP Data Intelligence Videos

SAP Data Intelligence Integrations

SAP Data Intelligence Competitors

SAP Data Intelligence Pricing

SAP Data Intelligence Technical Details

Deployment TypesOn-premise, SaaS
Operating SystemsKubernetes & Docker
Mobile ApplicationNo
Supported CountriesGlobal

Frequently Asked Questions

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 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.

What is SAP Data Intelligence's best feature?

Reviewers rate Usability highest, with a score of 7.7.

Who uses SAP Data Intelligence?

The most common users of SAP Data Intelligence are from Enterprises and the Information Technology & Services industry.