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- Setup fee optional
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- Free/Freemium Version
- Premium Consulting / Integration Services
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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
SAP Data Intelligence Videos
Watch Overview Video
Watch Hybrid Data Management with SAP Data Intelligence
Watch How SAP Data Intelligence Powers SAP Business Technology Platform
Watch Check out some of the metadata management features in SAP Data Intelligence
SAP Data Intelligence Integrations
- Oracle Database
- Alibaba Cloud Object Storage Service (OSS)
- SAP Business Warehouse
- SAP Information Steward
- SAP Integration Suite
- SAP Data Services
- 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
- SAP IQ
- 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 Competitors
- Talend Data Fabric
- Informatica
- Oracle
SAP Data Intelligence Technical Details
Deployment Types | On-premise, SaaS |
---|---|
Operating Systems | Kubernetes & Docker |
Mobile Application | No |
Supported Countries | Global |
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Reviews and Ratings
Reviews
(1-25 of 29)- Popular Filters
SAP Data Intelligence Future ETL Tool
- 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
- 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.
Your Open Data Source will benefit greatly from this.
- 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.
A powerful solution by SAP for data intelligence
- 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.
Data Catalog, Metadata Management, Data Quality and Event Processing Made Easy by SDI
- 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 Management and Analytics has Enabled Us to Deliver Data-Driven Recommendations via SAP Data Intelligence
- 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.
A precise platform for data management.
- 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.
For data management
- 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.
- 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.
Intelligent data with SAP Data Intelligence
- 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.
- None that I can talk of.
My Experience with SAP Data Intelligence in Data Management and Integration Processes
- 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.
- 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.
SAP Data Intelligence offers large-scale artificial intelligence for use in practical applications.
- 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.
- Import data from all sources
- Capability to accept data from SAP or non-SAP sources
- Cloud-based Virtualized Smart Design that is Flexible
- More integration capabilities with other vendors
- 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
Full database management tool and efficient use of resources and assets in a secure cloud platform
- 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.
Experience The AI-Powered SAP Data Intelligence Tool
- 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.
Another great product from SAP!
- 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
- 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.
SAP Data Intelligence Review
- 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.
Multi-Source machine learning done well.
- 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.
SAP Data intelligence - Jouney towards contact less maintainence
- Data orchestration from multiple data sources
- Machine learning capabilities
- Containerize architecture to run on hybrid cloud
- Scaling requirement to handle large data
- Limited in-build machine learning features
- Need more stable product
Increasing predication accuracy with SAP Data Intelligence
- Data is integrated from different source systems, which is then analysed first. After the analysis data is transformed and harmonized.
- Further, machine learning algorithms are modeled in SAP Data Intelligence and run on the data set.
- What is more, the SAP Data Intelligence environment interacts with different on premise systems and the results of the machine learning processes are sent back to the on premise systems.
- 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 DI - A quick review
- 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.
SAP Data Intelligence offers a lot of potential for SAP/Open Source data integration
- 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