SAP Data Intelligence vs. SAP HANA Cloud

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
SAP Data Intelligence
Score 8.6 out of 10
N/A
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.N/A
SAP HANA Cloud
Score 8.6 out of 10
N/A
SAP HANA is an application that uses in-memory database technology to process very large amounts of real-time data from relational databases, both SAP and non-SAP, in a very short time. The in-memory computing engine allows HANA to process data stored in RAM as opposed to reading it from a disk which means that the data can be accessed in real time by the applications using HANA. The product is sold both as an appliance and as a cloud-based software solution.
$0.95
per month Capacity Units
Pricing
SAP Data IntelligenceSAP HANA Cloud
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
SAP Data IntelligenceSAP HANA Cloud
Free Trial
YesYes
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
YesNo
Entry-level Setup FeeOptionalOptional
Additional DetailsIncludes a one year free trial.
More Pricing Information
Community Pulse
SAP Data IntelligenceSAP HANA Cloud
Considered Both Products
SAP Data Intelligence
Chose SAP Data Intelligence
More comprehensive data management
Chose SAP Data Intelligence
SAP Data Intelligence was one of the first corporate complete data science solutions to hit the market. We picked this because of our excellent relationship with SAP and our current SAP product environment.
Chose SAP Data Intelligence
The main difference in SAP software is that it is generally developed with the attitude of automating and job simplification in mind, i.e. it helps you accomplish things with the assistance of machines and artificial intelligence, leaving the majority of the heavy work to the …
Chose SAP Data Intelligence
SAP Data Intelligence is one of the first enterprise comprehensive data science platforms to market. We chose it because of our strong relationship to SAP and our existing ecosystem of SAP products.
Chose SAP Data Intelligence
I have worked with SAP Data Services for data integration, but think that it is not as strong as [SAP] Data Intelligence when it comes to data integration across landscapes and open source integration.
I have also worked with Spark to build pipelines, which cannot really be …
SAP HANA Cloud
Chose SAP HANA Cloud
HANA Cloud is more open and allows also application developments over BW so we choose HANA Cloud
Top Pros

No answers on this topic

Top Cons

No answers on this topic

Best Alternatives
SAP Data IntelligenceSAP HANA Cloud
Small Businesses

No answers on this topic

SingleStore
SingleStore
Score 9.7 out of 10
Medium-sized Companies

No answers on this topic

SingleStore
SingleStore
Score 9.7 out of 10
Enterprises
Talend Data Fabric
Talend Data Fabric
Score 9.4 out of 10
SingleStore
SingleStore
Score 9.7 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
SAP Data IntelligenceSAP HANA Cloud
Likelihood to Recommend
8.1
(54 ratings)
8.3
(294 ratings)
Likelihood to Renew
8.2
(2 ratings)
9.1
(6 ratings)
Usability
7.1
(49 ratings)
9.1
(10 ratings)
Availability
-
(0 ratings)
3.6
(1 ratings)
Performance
-
(0 ratings)
3.6
(1 ratings)
Support Rating
7.3
(46 ratings)
8.4
(255 ratings)
Implementation Rating
-
(0 ratings)
9.1
(2 ratings)
Configurability
8.2
(1 ratings)
3.6
(1 ratings)
Ease of integration
-
(0 ratings)
4.5
(1 ratings)
Product Scalability
-
(0 ratings)
4.5
(1 ratings)
Vendor post-sale
9.1
(1 ratings)
4.5
(1 ratings)
Vendor pre-sale
9.1
(1 ratings)
3.6
(1 ratings)
User Testimonials
SAP Data IntelligenceSAP HANA Cloud
Likelihood to Recommend
SAP
It helps our BUs analyze data and create dashboards they can understand. While slowing down with a large database, it becomes less helpful. In my experience, it is excellent in consolidating information from several sources for analysis, decision-making, and knowledge gaps. Excellent at managing information access.
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SAP
It is well organized. One can use it for the company's portfolio management. Various tasks can be done for managerial purposes. One can track the material from start to end product: for example, raw material, packing material & consumable material to formulated bulk and formulated drug product. This can help to manage spending as well as finding costing of the product.
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Pros
SAP
  • 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.
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SAP
  • Real-time reporting and analytics on data: because of its in-memory architecture, it is perfect for businesses that need to make quick decisions based on current information.
  • Managing workload with complex data: it can handle a vast range of data types, including relational, documental, geospatial, graph, vector, and time series data.
  • Developing and deploying intelligent data applications: it provides various tools for such applications and can be used for machine learning and artificial intelligence to automate tasks, gain insights from data, and make predictions.
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Cons
SAP
  • 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.
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SAP
  • Requires higher processing power, otherwise it won't fly. How ever computing costs are lower. Incase you are migrating to cloud please do not select the highest config available in that series . Upgrading it later against a reserved instance can cost you dearly with a series change
  • Lack of clarity on licensing is one major challenge
  • Unless S/4 with additional features are enabled mere migration HANA DB is not a rewarding journey. Power is in S/4
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Likelihood to Renew
SAP
Allow collaborations among various personas
with insights as ratings and comments on the
datasets Reuse knowledges on the datasets for new users Next-Gen Data Management and Artificial Intelligence
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SAP
At this moment we are not focusing on SAP, however would love to in the future. This is primarily because of our limited ability to generate more revenue to fund for SAP partnerships and products. Our initial tryst with SAP Partneredge open ecosystem didn't go as planned and we have shelved that for now. Hope we can revive in the future
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Usability
SAP
Good tool with lots of potential, but I still see a lot of room for improvement, e.g. when it comes to debugging functionality to understand exactly where pipelines fail and what the data at that point looks like (similar to BW debugging). Also, I am missing SAPs standard machine learning libraries (Python) to be pre-installed, among some other general usability improvements.
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SAP
In addition to the points described in the previous parts of the review, I believe that as I gain more experience with the product over time, I will be able to better describe my experience with this tool. Meanwhile, I can confirm that the possibilities presented to my organization by the change to SAP HANA, at the moment, have been very important to evolve the analytical and strategic field towards a new path.
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Support Rating
SAP
Initially we struggle to get help from SAP but then dedicated Dev angel was assigned to us and that simplify the overall support scenario. There is still room of improvement in documentation around SAP Data intelligence. We struggle a lot to initially understand the feature and required help around performance improvement area,
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SAP
One specific example of how the support for SAP HANA Cloud impacted us is in our efforts to troubleshoot and resolve technical issues. Whenever we encountered an issue or had a question, the support team was quick to respond and provided us with clear and actionable guidance. This helped us avoid downtime and keep our analytics operations running smoothly.
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Implementation Rating
SAP
No answers on this topic
SAP
Professional GIS people are some of the most risk-averse there are, and it's difficult to get them to move to HANA in one step. Start with small projects building to 80% use of HANA spatial over time.
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Alternatives Considered
SAP
One of the reasons to pick SAP Data Intelligence is the speed and security it provides, in addition to the excellent support it provides. It is also compatible with all popular databases, which is another reason to choose it.
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SAP
I have deep knowledge of other disk based DBMSs. They are venerable technology, but the attempts to extend them to current architectures belie the fact they are built on 40 year old technology. There are some good columnar in-memory databases but they lack the completeness of capability present in the HANA platform.
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Scalability
SAP
No answers on this topic
SAP
Limitation of training deliverable by organization
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Return on Investment
SAP
  • 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.
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SAP
  • ROI has always been high in terms of the functionality that it offers and the security features it comes with.
  • Managing large volumes of data in real-time is not an easy task, but it does it pretty well with faster data processing.
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ScreenShots

SAP Data Intelligence Screenshots

Screenshot of Business GlossaryScreenshot of Example of data quality operatorsScreenshot of Data profiling fact sheetScreenshot of SAP Data Intelligence Jupyter lab notebook for machine learningScreenshot of SAP Data Intelligence data pipeline using PythonScreenshot of SAP Data Intelligence example ata quality dashboard