What users are saying about
9 Ratings
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Top Rated
80 Ratings
9 Ratings
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Score 8 out of 100

SAP Data Intelligence

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Top Rated
80 Ratings
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Score 8.6 out of 100

Attribute Ratings

  • SAS DataFlux is rated higher in 1 area: Likelihood to Renew
  • SAP Data Intelligence is rated higher in 1 area: Likelihood to Recommend

Likelihood to Recommend

9.0

SAS DataFlux

90%
1 Rating
9.5

SAP Data Intelligence

95%
42 Ratings

Likelihood to Renew

10.0

SAS DataFlux

100%
1 Rating
8.2

SAP Data Intelligence

82%
2 Ratings

Usability

SAS DataFlux

N/A
0 Ratings
7.8

SAP Data Intelligence

78%
37 Ratings

Support Rating

SAS DataFlux

N/A
0 Ratings
8.0

SAP Data Intelligence

80%
36 Ratings

Configurability

SAS DataFlux

N/A
0 Ratings
8.2

SAP Data Intelligence

82%
1 Rating

Vendor post-sale

SAS DataFlux

N/A
0 Ratings
9.1

SAP Data Intelligence

91%
1 Rating

Vendor pre-sale

SAS DataFlux

N/A
0 Ratings
9.1

SAP Data Intelligence

91%
1 Rating

Likelihood to Recommend

SAS

No answers on this topic

SAP

In the two organizations that I have used SAP Data Intelligence, it has been effective in managing data operations. SAP Data Intelligence is the most robust data integration and management solution that I have ever come across. I would highly recommend this service to all prospects that are looking to create, execute and reuse data models at ease.
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Pros

SAS

  • dfPower Studio connects to virtually any data source, and any dfPower Studio user in any department can use dfPower Studio to profile, cleanse, integrate, enrich, monitor, and otherwise improve data quality throughout the enterprise. dfPower Architect, an innovative job flow builder, enables users to build complex management workflows quickly and logically.
  • DataFlux Integration Server supports the ability to run batch dfPower Studio jobs in a client/server environment.
  • DataFlux Integration Server for SAS additionally enables allows SAS programs to invoke DataFlux batch jobs from a SAS program and allows SAS programs to call a business service that was designed in the dfPower Studio client environment.
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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.
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Cons

SAS

  • DataFlux handled all of our data integration needs. It could be considered pricey when compared to Microsoft's bundled SSIS product.
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SAP

  • 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
Read full review

Pricing Details

SAS DataFlux

Starting Price

Editions & Modules

SAS DataFlux editions and modules pricing
EditionModules

Footnotes

    Offerings

    Free Trial
    Free/Freemium Version
    Premium Consulting/Integration Services

    Entry-level set up fee?

    No setup fee

    Additional Details

    SAP Data Intelligence

    Starting Price

    Editions & Modules

    SAP Data Intelligence editions and modules pricing
    EditionModules

    Footnotes

      Offerings

      Free Trial
      Free/Freemium Version
      Premium Consulting/Integration Services

      Entry-level set up fee?

      Optional

      Additional Details

      Pricing Info

      Likelihood to Renew

      SAS

      We are happy with the software and its functionality. As a SAS-shop, DataFlux is a logical choice for complex data integration.
      Read full review

      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
      Read full review

      Usability

      SAS

      No answers on this topic

      SAP

      - Difficult debugging, sometimes it does not show where an error occurred so the error finding is difficult - Lot of tabs get opened when working with the tool which is not very user friendly - Pipelines and notebooks were sometimes deleted and could not be restored - Frequently used libraries (such as hana_ml) could not be installed via the dockerfile and should potentially be pre-installed for better usability
      Read full review

      Support Rating

      SAS

      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,
      Read full review

      Alternatives Considered

      SAS

      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.
      Read full review

      Return on Investment

      SAS

      • Complex data integration.
      • SAS integration.
      Read full review

      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

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