AWS Data Exchange vs. SAP Data Intelligence

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
AWS Data Exchange
Score 6.4 out of 10
N/A
AWS Data Exchange is an integration for data service, from which subscribers can easily browse the AWS Data Exchange catalog to find relevant and up-to-date commercial data products covering a wide range of industries, including financial services, healthcare, life sciences, geospatial, consumer, media & entertainment, and more.N/A
SAP Data Intelligence
Score 8.5 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
Pricing
AWS Data ExchangeSAP Data Intelligence
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
AWS Data ExchangeSAP Data Intelligence
Free Trial
NoYes
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoYes
Entry-level Setup FeeNo setup feeOptional
Additional Details
More Pricing Information
Community Pulse
AWS Data ExchangeSAP Data Intelligence
Considered Both Products
AWS Data Exchange

No answer on this topic

SAP Data Intelligence
Chose SAP Data Intelligence
The AWS services require more manual integration and custom building of services. This is where SAP Data Intelligence excells.
Top Pros
Top Cons
Features
AWS Data ExchangeSAP Data Intelligence
Data Source Connection
Comparison of Data Source Connection features of Product A and Product B
AWS Data Exchange
8.0
2 Ratings
4% below category average
SAP Data Intelligence
-
Ratings
Connect to traditional data sources7.02 Ratings00 Ratings
Connecto to Big Data and NoSQL9.01 Ratings00 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
AWS Data Exchange
8.2
1 Ratings
2% above category average
SAP Data Intelligence
-
Ratings
Data model creation9.01 Ratings00 Ratings
Metadata management9.01 Ratings00 Ratings
Business rules and workflow7.01 Ratings00 Ratings
Collaboration9.01 Ratings00 Ratings
Testing and debugging7.01 Ratings00 Ratings
Data Governance
Comparison of Data Governance features of Product A and Product B
AWS Data Exchange
7.0
1 Ratings
17% below category average
SAP Data Intelligence
-
Ratings
Integration with data quality tools7.01 Ratings00 Ratings
Best Alternatives
AWS Data ExchangeSAP Data Intelligence
Small Businesses
Skyvia
Skyvia
Score 9.7 out of 10

No answers on this topic

Medium-sized Companies
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.1 out of 10

No answers on this topic

Enterprises
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.1 out of 10
Talend Data Fabric
Talend Data Fabric
Score 9.5 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
AWS Data ExchangeSAP Data Intelligence
Likelihood to Recommend
1.0
(2 ratings)
8.0
(54 ratings)
Likelihood to Renew
1.0
(1 ratings)
8.2
(2 ratings)
Usability
-
(0 ratings)
7.1
(49 ratings)
Support Rating
-
(0 ratings)
7.1
(46 ratings)
Configurability
-
(0 ratings)
8.2
(1 ratings)
Vendor post-sale
-
(0 ratings)
9.1
(1 ratings)
Vendor pre-sale
-
(0 ratings)
9.1
(1 ratings)
User Testimonials
AWS Data ExchangeSAP Data Intelligence
Likelihood to Recommend
Amazon AWS
AWS Data Exchange fits best for scenarios where you have datasets that you would like to sell and you want to deliver it to anyone who would like to purchase it. It really beats having to set up downloads via your own website or portal. However, it can get complicated to manage if you're trying to deliver a dataset a client has already paid for.
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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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Pros
Amazon AWS
  • Simplified data delivery
  • Ability to create any amount of data products
  • Ability to integrate payment plans with data products
  • Tracking data downloads and users
  • Integration with other AWS data services
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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.
Read full review
Cons
Amazon AWS
  • Integration with more data sources
  • Ability to deliver data to clients without AWS accounts
  • Inclusion of direct data downloads in addition to asynchronous methods
Read full review
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.
Read full review
Likelihood to Renew
Amazon AWS
There have been a lot of problems with ADX. First, the entire system is incredibly clunky from beginning to end.First, by AWS's own admission they're missing a lot of "tablestakes functionality" like the ability to see who is coming to your pages, more flexibility to edit and update your listings, the ability to create a storefront or catalog that actually tries to sell your products. All-in-all you're flying completely blind with AWS. In our convos with other sellers we strongly believe very little organic traffic is flowing through the AWS exchange. For the headache, it's not worth the time or the effort. It's very difficult to market or sell your products.We've also had a number of simple UX bugs where they just don't accurately reflect the attributes of your product. For instance for an S3 bucket they had "+metered costs" displayed to one of our buyers in the price. This of course caused a lot of confusion. They also misrepresented the historical revisions that were available in our product sets because of another UX bug. It's difficult to know what other things in the UX are also broken and incongruent.We also did have a purchase, but the seller is completely at their whim at providing you fake emails, fake company names, fake use cases because AWS hasn't thought through simple workflows like "why even have subscription confirmation if I can fake literally everything about a subscription request." So as a result we're now in an endless, timewasting, unhelpful thread with AWS support trying to get payment. They're confused of what to do and we feel completely lost.Lastly, the AWS team has been abysmal in addressing our concerns. Conversations with them result in a laundry list of excuses of why simple functionalities are so hard (including just having accurate documentation). It was a very frustrating and unproductive call. Our objective of our call was to help us see that ADX is a well-resourced and well-visioned product. Ultimately they couldn't clearly articulate who they built the exchange for both on the seller side and the buyer side.Don't waste your time. This is at best a very foggy experiment. Look at other sellers, they have a lot of free pages to try to get attention, but then have smart tactics to divert transactions away from the ADX. Ultimately, smart move. Why give 8-10% of your cut to a product that is basically bare-bones infrastructure.
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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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Usability
Amazon AWS
No answers on this topic
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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Support Rating
Amazon AWS
No answers on this topic
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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Alternatives Considered
Amazon AWS
No answers on this topic
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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Return on Investment
Amazon AWS
  • Reduced time to publish datasets for sale by more than 80%
  • Increased net profit from dataset sales by ~10%
  • Reduced data delivery time to clients by 15%
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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.
Read full review
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