Fivetran vs. SAP Data Quality Management

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Fivetran
Score 8.4 out of 10
N/A
Fivetran replicates applications, databases, events and files into a high-performance data warehouse, after a five minute setup. The vendor says their standardized cloud pipelines are fully managed and zero-maintenance. The vendor says Fivetran began with a realization: For modern companies using cloud-based software and storage, traditional ETL tools badly underperformed, and the complicated configurations they required often led to project failures. To streamline and accelerate…
$0.01
per credit
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
FivetranSAP Data Quality Management
Editions & Modules
Starter
$0.01
per credit
Standard
$0.01
per credit
Enterprise
$0.01
per credit
No answers on this topic
Offerings
Pricing Offerings
FivetranSAP Data Quality Management
Free Trial
YesNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeOptionalNo setup fee
Additional Details
More Pricing Information
Community Pulse
FivetranSAP Data Quality Management
Considered Both Products
Fivetran
Chose Fivetran
Matillion requires a lot more initial setup effort and the resulting schemas are also much more "raw" data than the nicely cleaned schemas which Fivetran provides. Therefore it would also require more (manual) post-processing efforts compared to Fivetran. So the savings on time …
Chose Fivetran
Fivetran is much easier to set up and maintain. Airbyte still had a degree of technical knowledge requirement that we didn't have the resources to commit. Fivetran allowed a non-technical employee to establish pipelines and immediately start using the data without having to …
Chose Fivetran
Fivetran is a powerful data replication tool that supported use cases for organization-wide data platforms.
Chose Fivetran
We never seriously considered using anything else. Our data engineers had used Fivetran extensively in previous roles so when it came time to make a decision, there wasn't much of a process. They gladly signed the contract with Fivetran pretty quickly.
Chose Fivetran
Fivetran came well with the connectors' availability and updates with the source changes.
We had an idea on data requirements in our case which helped us to work out on cost implication and take a decision for Fivetran as a data provider for our organization.
These were 2 …
Chose Fivetran
Fivetran is more intuitive and easier to use than code-based ETL/ELT tools. The data modelling Fivetran performs makes the data more usable more quickly. Fivetran's dbt support and integration is unique.
Chose Fivetran
Honestly, we haven't done much investigation in a while, it just works 360 days of the year. The other five days there may be a hiccup that will throw us a day off of data, but it gets caught up in the end.
SAP Data Quality Management
Chose SAP Data Quality Management
IDQ was a best fit for our data quality management, but we didn’t have a lot of Informatica services to integrate with it hence we implemented SDQ instead.
Chose SAP Data Quality Management
SAP Data Quality Management has close data monitoring, which helps in close data cleansing, and the entire filtration process. Besides, has proper address verification, with customer details being enhanced. Again, SAP Data Quality Management makes a profitable way of predictive …
Chose SAP Data Quality Management
SAP Data Quality supports the integration with significant sources, but security and accuracy are maintained and enhanced. Besides, SAP Data Quality eliminates the data duplicates, a solution that saves on space, and improves the loading power of any system. More so, SAP Data …
Chose SAP Data Quality Management
SAP Data Quality has the data connectivity part, that ensures quality and standard evaluations are made. Further, SAP Data Quality has an incredible service chart, that makes all the client's complaints extensively addressed and service satisfaction maintained. Finally, SAP …
Chose SAP Data Quality Management
SAP Data Quality Management is easy to use and for its price, it has given us results as compared to the above.
Chose SAP Data Quality Management
Talend Data Integration and Cleo Integration Cloud
Chose SAP Data Quality Management
I love the SAP Business Objects Data Quality Management and its ability to create reports quickly and accurately as well as being able to export information and send to others very quickly. My experience has been fantastic and has helped clean up so much bad and useless data …
Chose SAP Data Quality Management
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 …
Chose SAP Data Quality Management
This is the only program of its kind that I have any experience with. I have heard of a few others. From people I have talked to, they have seen in other programs some of the options that I would like to see in SAP, but to me where our greater needs are, SAP is still the better …
Features
FivetranSAP Data Quality Management
Data Source Connection
Comparison of Data Source Connection features of Product A and Product B
Fivetran
10.0
Ratings
19% above category average
SAP Data Quality Management
-
Ratings
Connect to traditional data sources10.00 Ratings00 Ratings
Connecto to Big Data and NoSQL10.00 Ratings00 Ratings
Data Transformations
Comparison of Data Transformations features of Product A and Product B
Fivetran
7.4
Ratings
9% below category average
SAP Data Quality Management
-
Ratings
Simple transformations7.50 Ratings00 Ratings
Complex transformations7.30 Ratings00 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
Fivetran
6.2
Ratings
23% below category average
SAP Data Quality Management
-
Ratings
Data model creation2.00 Ratings00 Ratings
Metadata management4.00 Ratings00 Ratings
Business rules and workflow8.00 Ratings00 Ratings
Collaboration7.80 Ratings00 Ratings
Testing and debugging9.00 Ratings00 Ratings
Data Governance
Comparison of Data Governance features of Product A and Product B
Fivetran
8.3
Ratings
3% above category average
SAP Data Quality Management
-
Ratings
Integration with data quality tools8.30 Ratings00 Ratings
Integration with MDM tools8.30 Ratings00 Ratings
Data Quality
Comparison of Data Quality features of Product A and Product B
Fivetran
-
Ratings
SAP Data Quality Management
9.9
Ratings
16% 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
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FivetranSAP Data Quality Management
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All AlternativesView all alternativesView all alternatives
User Ratings
FivetranSAP Data Quality Management
Likelihood to Recommend
8.2
(0 ratings)
9.2
(0 ratings)
Usability
9.0
(0 ratings)
-
(0 ratings)
Performance
8.0
(0 ratings)
-
(0 ratings)
Support Rating
-
(0 ratings)
8.2
(0 ratings)
Product Scalability
-
(0 ratings)
10.0
(0 ratings)
User Testimonials
FivetranSAP Data Quality Management
Likelihood to Recommend
[Fivetran is] very well suited when you are using popular and common data sources, such as the major ad platforms, and SaaS platforms such as Salesforce. If the majority of your data sources are custom internal applications or databases, may be less value as you aren't leveraging the delivered connectors.
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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
  • Simplified ETL from a wide range of data sources
  • Stable and painless data pipeline
  • Granular control over what parts of the data source are loaded
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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
  • Doesn't include support for a Kinesis stream as a data source so couldn't be used for some use cases under consideration
  • Doesn't support the use of "BEFORE DELETE" triggers
  • No support for serverless Aurora
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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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Usability
Very easy and intuitive to setup and maintain as there usually are not that many options. Very well documented (e.g. how to setup each connector, how the schema looks like, any specific features of this connector etc.). Also the operation is intuitive, e.g. you have status pages, log pages, configuration pages etc. for each connector.
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No answers on this topic
Performance
It runs pretty well and gets our data from point A to point cluster quickly enough. Honestly, it's not something I think about unless it breaks and that's pretty rare.
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No answers on this topic
Support Rating
No answers on this topic
As with other SAP products, there is excellent support from SAP on this new tool.
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Alternatives Considered
Fivetran came well with the connectors' availability and updates with the source changes. We had an idea on data requirements in our case which helped us to work out on cost implication and take a decision for Fivetran as a data provider for our organization. These were 2 places where Fivetran out-performed, other vendors.
Read full review
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.
Read full review
Return on Investment
  • Saved a lot of manual development days (unable to quantify)
  • Accelerated the time to add a new source to the data warehouse a lot
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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.
Read full review
ScreenShots