What users are saying about
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Top Rated
80 Ratings

SAP Data Intelligence

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Top Rated
80 Ratings
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Score 8.6 out of 100
15 Ratings
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Score 8.2 out of 100

Attribute Ratings

  • SAP Data Intelligence is rated higher in 1 area: Likelihood to Recommend
  • Stitch from Talend is rated higher in 1 area: Support Rating

Likelihood to Recommend

9.5

SAP Data Intelligence

95%
42 Ratings
8.9

Stitch from Talend

89%
4 Ratings

Likelihood to Renew

8.2

SAP Data Intelligence

82%
2 Ratings

Stitch from Talend

N/A
0 Ratings

Usability

7.8

SAP Data Intelligence

78%
37 Ratings

Stitch from Talend

N/A
0 Ratings

Support Rating

8.0

SAP Data Intelligence

80%
36 Ratings
9.0

Stitch from Talend

90%
2 Ratings

Configurability

8.2

SAP Data Intelligence

82%
1 Rating

Stitch from Talend

N/A
0 Ratings

Vendor post-sale

9.1

SAP Data Intelligence

91%
1 Rating

Stitch from Talend

N/A
0 Ratings

Vendor pre-sale

9.1

SAP Data Intelligence

91%
1 Rating

Stitch from Talend

N/A
0 Ratings

Likelihood to Recommend

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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Talend

Stitch is very cheap and useful for small to medium size companies to ingest data from common apis/platforms in a quick and cheap way.
Read full review

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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Talend

  • Easy integration with many sources
  • Extensible
  • Not as expensive as fivetran
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Cons

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
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Talend

  • Stitch is not good at replicating document stores like MongoDB to relational databases. To be fair, this is a difficult task. Stitch flattens the objects, but the result is unwieldy.
  • Stitch cannot replicate the same source to multiple sinks, which is inconvenient if you want to replicate some of a datastore's tables to Redshift and others to Redshift Spectrum, for instance.
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Pricing 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

    Stitch from Talend

    Starting Price

    Editions & Modules

    Stitch from Talend 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

      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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      Talend

      No answers on this topic

      Usability

      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

      Talend

      No answers on this topic

      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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      Talend

      I have had some troubles with one integration. It could be solved by doing a full re-sync which is not free. Every time I had to do it, I just sent them an email to tell them that I would do it and they did not charge for it.
      Read full review

      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.
      Read full review

      Talend

      Stitch is much cheaper and probably simpler than tools like Fivetran. Stitch is for simpler projects and used alongside traditional ETL and writing ones own code into APIs. Fivetran is more of a overarching tool but also more expensive
      Read full review

      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.
      Read full review

      Talend

      • Freed up data engineers to work on transformations
      • Bought us some time to migrate from our ETL tool
      Read full review

      Screenshots

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