Great Expectations vs. SAP Data Quality Management

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Great Expectations
Score 0.0 out of 10
N/A
Great Expectations is a shared, open standard, open source and free tool for data quality, supported by Superconductive. It helps data teams eliminate pipeline debt, through data testing, documentation, and profiling. The tool can be used for validating, documenting, and profiling data to maintain quality and improve communication between teams.N/A
SAP Data Quality Management
Score 8.9 out of 10
N/A
SAP Business Objects Data Quality Management embeds data quality functionality into SAP applications.N/A
Pricing
Great ExpectationsSAP Data Quality Management
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Great ExpectationsSAP Data Quality Management
Free Trial
NoNo
Free/Freemium Version
YesNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
Great ExpectationsSAP Data Quality Management
Features
Great ExpectationsSAP Data Quality Management
Data Quality
Comparison of Data Quality features of Product A and Product B
Great Expectations
-
Ratings
SAP Data Quality Management
9.9
Ratings
13% above category average
Data source connectivity00 Ratings10.00 Ratings
Data profiling00 Ratings9.60 Ratings
Master data management (MDM) integration00 Ratings9.90 Ratings
Data element standardization00 Ratings9.90 Ratings
Match and merge00 Ratings9.90 Ratings
Address verification00 Ratings10.00 Ratings
User Ratings
Great ExpectationsSAP Data Quality Management
Likelihood to Recommend
-
(0 ratings)
9.3
(0 ratings)
Support Rating
-
(0 ratings)
8.2
(0 ratings)
Product Scalability
-
(0 ratings)
10.0
(0 ratings)
User Testimonials
Great ExpectationsSAP Data Quality Management
Likelihood to Recommend
No answers on this topic
When reporting, we use accurate data with no duplications since they are addressed by SAP DQM, we get the right target audience by analyzing marketing data, and also helps us to understand the current situation of our firm by comparing metrics.
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Pros
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  • SAP Data Quality integrates with numerous data sources, all with quality control metrics for effective analysis.
  • SAP Data Quality deals with modernization and addressing validation procedures.
  • Permanently eliminates the available data redundancy and duplicates.
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Cons
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  • On data mining, some fundamental features are either not strong, or unsustainable.
  • Besides, the chatbot from SAP Data Quality sometimes fails to respond, a huge challenge.
  • Finally, SAP Data Quality lacks the performance monitor, which should be routine and concrete.
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Support Rating
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As with other SAP products, there is excellent support from SAP on this new tool.
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Alternatives Considered
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The client was on a SAP platform for most of their applications and also is planning to implement SAP Hana very soon. This tool was fitting good for the requirement of the client to manage the quality of the data and hence adapt it in the system. Also, it can go well with the BO reporting.
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Return on Investment
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  • Data quality from SAP Data Quality Management brings accuracy and authenticity to the entire process.
  • Further, SAP Data Quality Management allows clear validation of the customer address, making it effective to manage every process and demand plan.
  • SAP Data Quality Management has the potential of improving the market penetration, powerful business proceedings.
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ScreenShots