TrustRadius Insights for SAP Data Intelligence are summaries of user sentiment data from TrustRadius reviews and, when necessary, third party data sources.
Pros
Performance and Scalability: Users have praised the tool for its exceptional performance and scalability which allow them to efficiently track daily expenses and gain valuable business insights.
Comprehensive Capabilities: Reviewers appreciated the tool's comprehensive capabilities in data warehousing, integration, and ETL transformation. They found features like data extraction, evaluation, event processing, workflow automation, machine learning deployment, and data visualization to be highly beneficial.
Integration and Compatibility: The tool received positive feedback for its wide range of add-ons compatibility, low code pipeline build, API capabilities, and seamless integration with third-party tools. Users found it helpful for connecting data across departments to create integrated dashboards easily.
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SAP Data Intelligence Reviews
38 Reviews
Enterprises (1,001+ employees)
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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.
Pros
Sending the data to Non-SAP Systems
Cleansing the data
Data Governance
Cons
Performance & scalability issues
Complexity
Documentation & tutorials
Limited connectors
Likelihood to Recommend
I recommend this product for if the use case is send only less volume of data across the systems
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 with optimum governance around them 3. Helping in data management activities with its strong feature set on data profiling, data cataloging, etc. 4. Helping us prepare data for our AI/ML processes
Pros
Data pipeline orchestration capabilities
Data governance
Scalability
Cons
Like every SAP product, it is rigid with product strategy and hard to keep pace with advancements in technology
Integration with open-source technologies and the future road map is always a point of contention
Costs
Likelihood to Recommend
If you have an SAP products ecosystem in your IT landscape, it becomes a no-brainer to go ahead with an SAP Data Intelligence product for your data orchestration, data management, and advanced data analytics needs, such as data preparation for your AI/ML processes. It provides a seamless integration with other SAP products.
VU
Verified User
Professional in Information Technology (10,001+ employees)
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 management reports as well as Financial Close consolidation for external reporting. We also expose Finance data to external interfaces for different use cases.
Pros
Performance
Scalability
Cons
External consumption (openness)
User friendly SQL Explain plans missing
Likelihood to Recommend
It is scalable and performant. HANA Models can get quite complex to handle special situations.
VU
Verified User
Manager in Information Technology (10,001+ employees)
This product is mainly used for Event processing and requires additional capabilities on how this product helps on Event Mesh and Data Mesh solutions, especially how this is useful to enable Data Product.
Business Need: Need for near real time data for analytics purposes to enable quicker decision making. How SAP Data Intelligence is used: Data Intelligence tool is used to source SAP transactional and other SAP data to our Data lake. Benefits by using SAP Data Intelligence tool; Potentially reduce the number of Data hops and Redundant effort with an efficient platform. Help reduce data latency for enabling near real-time analytics. Ensure the solution can support Agile DevOps framework to help improve the capability to provide the metadata to the global data catalog tools such as Collibra.
Pros
Low Code pipeline build
Replication of data from source systems to target
API capability
Cons
All environments are updated with latest notes and this impacts production systems without an opportunity to test our lower environments with new patches
Faced quite a few issues with SAP Data Intelligence connectivity to SAP ECC and a considerable set of notes applied to both SLT and ECC to fix the issues
Likelihood to Recommend
Suited for transferring data from one system to another with low code.
I have not used the tool's AI/ML features, so unable to comment on it.
VU
Verified User
Employee in Information Technology (10,001+ employees)
The main purpose of the usage of SAP DI in our platform is to have the Lineage end-to-end from Reporting to Source origins, building Data Catalog for users to enable self-service analytics for Exploration and Discovery, Data Quality assessments and take effective decisions.
Pros
Lineage at the object level
Pipeline build for Data Integration
Data Catalog for self-service analytics
Cons
Lineage at attribute(column) level to help Impact Assessment (just like SAP Information Steward)
Lineage on non-SAP sources could be a game changer, most of the companies fail in this area which will be an eye opener for customers like us.
on Data Integration space, Provide Detailed Road Map on SAP DI compared to SAP Data Services(aka BODS) and SAP SDI
Likelihood to Recommend
Suited into the area of Data Catalog and Self-Service, Data Lineage, Profiling and Data Integration
SAP Data Intelligence validation on NetApp storage technology in compination with RedHat OpenShift and SUESE Rancher Kubernetes Cluster. Validation was done for all NetApp solutions which are supported from NetApp Trident and are able to provide iSCSI LUNs. Goal of the validation has been, to enable NetApp customers a seamless usage of NetApp storage for mixed SAP workloads.
Pros
It runs in Kubernetes
Easy deployment with Installer also running in Kubernetes
Integration with S/3 compatible object storage on-prem and in public cloud
Cons
In case of failures, identifying the errors in the Kubernetes cluster is a mess
The certificate handling could be made easier to run SAP Data Intelligence with self signed certificates for non-prod environments
Likelihood to Recommend
I just used Data Intelligence from in infrastructure point of view to validate NetApp storage for SAP Data Intelligence. Therefore I run only test scenarios which need to be run, to pass the SAP Data Intelligence validation. The scenarios need for passing the validation are just used to validate that the underlying infrastructure is fulfilling the SAP requirements.
