"I have found the most valuable features to be data cleansing and deduplication."
"With Oracle Data Quality, the most valuable feature is entity matching."
"The BA reporting tools, such as Data Services, and ETL tool in SAP Data Services are the most valuable. When we had in-memory requirements, we used HANA. HANA is most preferably for most the customers for in-memory. SAP is the first company that created the in-memory concept."
"Data Services' table comparison mechanism is very powerful. It's pretty hard to find a similar feature in other solutions."
"The basic functionality is quite good as is the basic logic and data information."
"Its integration capabilities and the data migration capabilities are the most valuable. It is very good for SAP and non-SAP tools. It has very good integration with SAP, but it also has the capabilities to connect to other systems. We find it very helpful and stable."
"The most valuable feature is the ETL functionality."
"I like how SAP Data Services links reporting and data integration. That's what's most interesting. You also have the opportunity to leverage the power of the Data Services server."
"We can extract data at a table level, extract data at the ETL level, and we can extract data at an ODP level."
"I appreciate having access to the SAP data."
"Oracle Data Quality should integrate with data warehousing solutions such as Azure and CWS Office. For example, having the ability to integrate with tools, such as Azure Synapse and SQL data warehousing would be a great benefit."
"Oracle is currently not that intuitive. We need to use programmers to write code for a lot of the procedures. We need to have them write CL SQL code and write a CL script."
"Source code control is another headache. When your source code base gets too large, managing the source code becomes cumbersome."
"Data Services SAP is lacking in sources and target databases compared to Informatica. SAP Data Services should have more connectivity."
"The skillset of data engineers matters a bit to use all the functionality of this solution. Otherwise, the delivery speed won't be faster."
"They could make it easier to work with web services."
"It's an ETL that is very good with relational databases but not as good with files and semi-structured files."
"I want some more business intelligence applications. People need to know more and more about data, including the transformation rules, etc. Informatica is a better product for data cataloging. SAP should update the data catalog."
"It would be nice if this solution was a bit easier to move from development to production."
"At the integration level, there could be certain set of improvement to connect to various other systems."
Earn 20 points
Oracle Data Quality is ranked 12th in Data Quality with 2 reviews while SAP Data Services is ranked 1st in Data Quality with 9 reviews. Oracle Data Quality is rated 7.6, while SAP Data Services is rated 8.0. The top reviewer of Oracle Data Quality writes "Can be used in the fund raising industry for entity matching". On the other hand, the top reviewer of SAP Data Services writes "It's a powerful tool that does a lot, but it has its annoyances". Oracle Data Quality is most compared with Informatica Data Quality and SAP Data Quality Management, whereas SAP Data Services is most compared with Azure Data Factory, Informatica PowerCenter, SSIS, SAP Process Orchestration and Palantir Foundry. See our Oracle Data Quality vs. SAP Data Services report.
See our list of best Data Quality vendors.
We monitor all Data Quality reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.