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 …
SAP Data Intelligence
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SAP Data Intelligence
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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…
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- 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
Example of SAP Data Intelligence integration with SAP Data Services
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 |
Comparisons
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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 are SAP Data Intelligence's top competitors?
Talend Data Fabric are common alternatives for SAP Data Intelligence.
What is SAP Data Intelligence's best feature?
Reviewers rate Support Rating highest, with a score of 8.1.
Who uses SAP Data Intelligence?
The most common users of SAP Data Intelligence are from Enterprises (1,001+ employees) and the Information Technology & Services industry.
Reviews and Ratings
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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
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.
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.
April 04, 2022
A powerful solution by SAP for data intelligence
SAP Data Intelligence helps us in providing nice data analytics with our data. Usually, we have extracted the data from multiple sources. We required day-to-day data analytics for our customers. This saves a lot of time and effort in providing the right and efficient data analytics and visualization of our data with minimal effort.
- 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.
February 07, 2022
Data Catalog, Metadata Management, Data Quality and Event Processing Made Easy by SDI
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.
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.
January 27, 2022
A precise platform for data management.
A highly reliable tool that has been serving our company for
a year span and in this long time it has given power over our data as it is
giving us a way to manage our data using multiple filters. Moreover, the most
advantageous part is that we can export data to excel that too is very helpful.
We can get data insights and can look for the data from anywhere and anytime.
- 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.
January 18, 2022
For data management
SAP Data Intelligence is effective because it offers helpful filters for managing data in a way that saves time and increases productivity. SAP Data Intelligence enables you to download filtered data into Microsoft Excel for further analysis.
SAP Data Intelligence makes it simple to comprehend how data
moves from one stage to the next.
- 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.
Managing our company database with SAP Data Intelligence is more effective. This tool is also reliable with data visualization and exploration. Enables ease of data cleansing.
- 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.
December 14, 2021
Intelligent data with SAP Data Intelligence
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.
- 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.
November 09, 2021
My Experience with SAP Data Intelligence in Data Management and Integration Processes
I started using SAP Data Intelligence at Redflex before joining Verra Mobility to integrate data, manage company information and catalog data in real-life in a single centralized cloud solution. At Verra Mobility, we use SAP Data Intelligence on few selected company departments mainly, corporate, IT and Engineering.
- 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.
The conceptual plot of recognizing SAP Data Intelligence as the first choice for Data Management comes out [of] a perfect and accurate decision of selecting this platform. This application brings out an innovative turnaround for our organization. The first reason [we] selected SAP Data Intelligence is that it minimizes the compliance risk of metadata management principles. The main purpose of this application [is to] organize our company's existing data with the new data source. Another excellent aspect of switching into SAP Data Intelligence is that it completely streamlined our business insight. Yes, this application is used in the entire part of our organization as a baseline data management plot.
- 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.
July 03, 2021
SAP Data Intelligence offers large-scale artificial intelligence for use in practical applications.
Our overarching aim is to promote transparency and minimize risk for sustainable energy investors. Specifically, with Data Intelligence, we can set up legitimate surveillance pipelines that use Machine Learning models to continually compare previous power generating company value with present performance.
- 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.
It is a software application that is utilized in several departments within the organization. We obtain data from many divisions for special events, such as research for public workshops or sales department use database advertising and kind of marketing in various locations.
- 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
It is application software that is used in different parts of the company. We use the information received from different departments for special occasions, for example, whether research for outdoor seminars or sales department use database information for marketing and type of advertising in different geographical areas, as well as product pricing and various business campaigns, are important and effective for our company. Data analysis is a time-consuming and tedious task in which the SAP data intelligence platform is super smart. It saves us time and makes database information 100% usable in no time.
- 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
March 02, 2021
Full database management tool and efficient use of resources and assets in a secure cloud platform
We use this platform for our customers who manage a lot of data and need to integrate different data and process data quickly. Everything is done under the cloud and quickly. The complexity of big data and access to the information needed in a short time is crucial, as is security and speed for us and our customers. This is an all-in-one platform. Complex content and data management is possible through the SAP intelligent platform. It is the most important part of serverless and can process information quickly via Cloud. You are not alone with the Artificial Intelligence of SAP Data Intelligence; you can manage all part of your business. Connecting to all data sources and it automatically indexes all data assets.
- 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.
January 01, 2021
Experience The AI-Powered SAP Data Intelligence Tool
SAP BI/BODS, SAP LUMRIA, SAP CRYSTAL REPORTS
- 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.
December 16, 2020
Another great product from SAP!
The administration I work for uses SAP Data Intelligence. The team uses it for data exploration and to provide insights from the data warehouse.
- 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
We are an early adopter of [SAP] Data Intelligence (DI), for which we are pioneering use cases with SAP as a partner company. Our broad goals are to increase transparency and reduce risk for renewable energy investors. Specifically with with DI we can set up real time monitoring pipelines using Machine Learning models that continuously compare historic power generation asset performance with their current performance. This provides early under performance warnings to the owner/investor so they can take action to avoid excessive costs due to mechanical failures or other equipment down times.
- 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.
December 10, 2020
SAP Data Intelligence Review
We are calculating daily, monthly and yearly expenses for our department, basically all our expenses, inventory counts, and corrections. It is the heart of my business reporting and we use it more than once an hour to solve problems. The benefits are impossible to count as so many people rely on SAP Data Intelligence.
- 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.
December 08, 2020
Multi-Source machine learning done well.
SAP Data Intelligence has been used specifically within my department as a means of predicting certain costs of a claim. This has been an on-going project taking data from an OCR engine which reads incoming documents passing details to a variety of databases and SAP in order to predict those claims as possibly fraudulent claims or high value claims and pass this information to different departments via report for them to "keep an eye on."
- 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.
December 04, 2020
SAP Data intelligence - Jouney towards contact less maintainence
We used SAP Data Intelligence to build Intelligent Asset Maintenance solution. In this current pandemic situation , clients are more focusing towards contact-less manufacturing and maintenance. We built a solution to enable machine failure prediction , anomaly detection in machine performance to proactively maintain the machine. We utilize Data orchestration and machine learning component of SAP Data intelligence product to build this solution.
- 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
December 01, 2020
Increasing predication accuracy with SAP Data Intelligence
SAP Data Intelligence is used for multiple use cases:
- 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.
- 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
November 30, 2020
SAP DI - A quick review
We are implementing SAP DI for large customers to manage their ML ecosystem. The DI system will be used for hosting homegrown models and also building newer ones from scratch. We are connecting SAP and Non SAP systems to DI. Inferences from DI would be used to support key business decisions.
- 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.
November 29, 2020
SAP Data Intelligence offers a lot of potential for SAP/Open Source data integration
We have used [SAP] Data Intelligence for internal learning purposes in order to build up know-how within our team. For this purpose, we have re-implemented an existing showcase using [SAP] Data Intelligence.
- 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