Oracle Data Quality vs SAP Data Services comparison

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Executive Summary

We performed a comparison between Oracle Data Quality and SAP Data Services based on real PeerSpot user reviews.

Find out what your peers are saying about Informatica, SAP, Talend and others in Data Quality.
To learn more, read our detailed Data Quality Report (Updated: March 2024).
765,386 professionals have used our research since 2012.
Featured Review
Venkatraman Bhat
VenkateshPerur Subramaniam
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"With Oracle Data Quality, the most valuable feature is entity matching.""I have found the most valuable features to be data cleansing and deduplication.""The features I like most about Oracle Data Quality include extraction, transformation, and validation, which makes it a multipurpose product such as Oracle GoldenGate and Oracle Data Integrator. I also like that Oracle Data Quality is very fast, so you can use it for a large volume of data within a short period. You have to do the validation very quickly, so the solution helps in that area of data quality. Another feature of Oracle Data Quality that I like is the MDM (Master Data Management) where you'll have a single source of protection, and this makes the solution perfect and helpful to my company.""Once it is set up, it is easy to use and maintain."

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"The most valuable features of SAP Data Services lie in its ability to effectively observe and interpret the information within data related to people or facts, stands out.""I appreciate having access to the SAP data.""The reporting on the data, even from third-party software, is very good.""The HANA database, which is very fast, is a valuable feature.""It is a powerful product with a broad range of features.""The product's most valuable features are data validation and rules.""It's easy to understand and deploy. It's easy to create new applications, and depending on the complexity of the application, it is easy to deploy the new requirements.""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."

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Cons
"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.""If the length of time required for deployment was reduced then it would be very helpful.""Though validation is good and fast enough in Oracle Data Quality, an area for improvement is the accuracy of the validation. Though the solution offers multidimensional validation, it needs a bit more improvement in the accuracy aspect because smaller products can offer better accuracy in terms of validation compared to Oracle Data Quality. What I'd like to see from the solution in its next release, is an increase in compliances and regulations that would allow it to cover all industries because multiple verticals demand data quality nowadays, and this improvement will be helpful as Oracle Data Quality is an in-built delivered solution."

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"We would like the different tools offered within this solution to be available as standalone entities, rather than having to purchase the entire package when we only require a few features.""The solution should offer more machine learning and automation.""The interface is not quite user-friendly and is in need of improvement.""Some of the jobs that are built within Data Services require local files, and during initial deployment, those local files cannot be transported between machines simply because of security issues.""We encounter challenges while exporting implemented rules, such as those applied to objects like the material master, into a format like Excel for documentation and further analysis.""The solution could improve the overall features. There is a lot that can be done in the solution, therefor there are areas where it can improve. Additionally, there is a need to make it easier for one to create connections to other non-SAP systems. The flexibility to connect to other non-SAP systems is needed.""They could make it easier to work with web services.""It will work fine only in an SAP environment. It could be said that the integration with other vendors could be better."

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Pricing and Cost Advice
  • "The vendor needs to revisit their pricing strategy."
  • "The price of this solution is comparable to other similar solutions."
  • More Oracle Data Quality Pricing and Cost Advice →

  • "Pricing is good, there is no problem."
  • "The pricing is a little high to make the product more competetive in the marketplace."
  • "Its pricing is as per the enterprise agreement and not a concern for us."
  • "The price is very reasonable."
  • "There is a one time purchase fee plus annual maintenance."
  • "The price of SAP Data Services is a little high when compared to other solutions. Due to the pricing and capabilities, many clients are switching to other solutions."
  • "At the entry level, if you're using it only for data integration, it is a little bit cheap. However, for large organizations it can be expensive. There are additional costs apart from the license."
  • "The license price is expensive but medium to large-scale companies, should be able to afford it. Other solutions, such as Talend are easier to afford for smaller companies. Depending on the sources of the data where you are receiving your data you could be paying for more than one license."
  • More SAP Data Services Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:The features I like most about Oracle Data Quality include extraction, transformation, and validation, which makes it a multipurpose product such as Oracle GoldenGate and Oracle Data Integrator I… more »
    Top Answer:Though validation is good and fast enough in Oracle Data Quality, an area for improvement is the accuracy of the validation. Though the solution offers multidimensional validation, it needs a bit more… more »
    Top Answer:We're mostly using Oracle Data Quality during the ETVL process, or to make sure that there's one source of truth and that there's no redundancy at all. We're also using the solution for quality… more »
    Top Answer: I believe the license for the product is fair, even though some competitors offer similar services at lower prices. The difference between the Edge edition and the next one up is significant in price… more »
    Top Answer: I think after some preparation, a beginner will be able to use SAP Data Services, however, if you are completely unprepared, you may have some issues. I think that in particular you will need a more… more »
    Top Answer:SAP Data Services has helped our whole staff understand the data across various sources and systems within the company. Not everyone who works at my organization is an IT expert - most just have… more »
    Ranking
    10th
    out of 44 in Data Quality
    Views
    497
    Comparisons
    232
    Reviews
    1
    Average Words per Review
    936
    Rating
    9.0
    2nd
    out of 44 in Data Quality
    Views
    1,688
    Comparisons
    1,358
    Reviews
    14
    Average Words per Review
    514
    Rating
    8.2
    Comparisons
    Also Known As
    Datanomic
    SAP BusinessObjects Data Services, SAP BusinessObjects Data Integrator, BusinessObjects Data Integrator
    Learn More
    Overview
    Oracle Enterprise Data Quality delivers a complete, best-of-breed approach to party and product data, resulting in trustworthy master data that integrates with applications to improve business insight.

    SAP Data Services is a top-ranking data integration and data quality tool. This is a product that aims to provide its users with effective access to their data in order to transform it and connect it to various business processes. SAP Data Services offers companies detailed data insights which improve decision-making and make company operations more effective.

    Organizations can increase the value of their structured and unstructured data with the functionalities of this product regarding data integration, quality, and cleansing. Through various components such as:

    • Simplified maintenance
    • On-premises deployment
    • Data quality and integration
    • Intuitive user interfaces

    the product transforms data into a ready-to-use resource for business insights.

    Some of the key components of SAP Data Services include:

    • Universal data access
    • Native-text data processing
    • Intuitive user interfaces
    • Data quality dashboards
    • Simplified data governance
    • Scalability and high performance

    Through these components, the product allows its clients to access and integrate data sources and targets with native connectors. Users can derive meaning from unstructured text data, match data to reduce duplicates, and see the impact of data quality issues. The tool also offers the option to enable parallel processing, bulk data loading, and grid computing for high-volume data loads.

    SAP Data Services Features

    The solution has different features for data integration, data quality, data profiling, and processing of text data. Using these features, clients can manage their company's data easily and achieve excellent results by optimizing it. Some of the product’s features include:

    • Data integration capabilities: The features regarding data integration provide a wide variety of opportunities. The product is available in 31 languages and connects to many data sources, providing its clients with access to their data anywhere at any time. It is also integrated with the SAP Business Suite applications, allowing users the full experience that the company has to offer. The tool is interconnected with SAP Data Hub, orchestrating data flows through the SAP Data Intelligence solution. Additionally, it supports a large number of third-party data sources, it is optimized for SAP HANA, and provides fine-tuned data replication and transformation through unique mechanisms.

    • Data quality capabilities: Clients can use a single interface to access designing, testing, debugging, editing, running, maintaining, and monitoring of data integration and data quality. It allows for the delivery of ready-to-use transformations and exposes hidden problems in users' data. With this feature, clients can build a single version of their data that is most efficient for them.

    • Data profiling capabilities: Companies that work with high-volume data can employ parallel processing, bulk data loading, and grid computing to be able to operate with the data more efficiently. This feature enables unlimited scalability and high availability by various automations. It also provides excellent security for the treated data through encryption and other services.

    • Processing of text data capabilities: This feature allows users to extract data from unstructured texts and understand it better. It works with 220 different file and text formats and 31 languages.

    SAP Data Services Benefits

    This solution offers various benefits to its clients regarding the efficient operation of their data. The key benefits of SAP Data Services include:

    • Broad access to data which can build a better perspective for companies of their information.

    • Improved decision-making and information management due to efficient data operations.

    • Ability to utilize various tools to help unify data on premises, in the cloud, or within big data.

    • The software provides efficient insight for reporting and data analytics.

    • The tool allows for easy integration with a large number of different databases.

    • The product provides the opportunity to seamlessly connect with other SAP solutions.

    • The solution simplifies extract, transform, and load (ETL) construction processes through intuitive graphic software.

    Reviews from Real Users

    According to Michael Lutz, senior data warehouse developer at Fox Chase Cancer Center, SAP Data Services is a powerful tool that does a lot.

    An associate consultant at a consultancy says the tool is easy to use, simple to implement, and offers very good mapping capabilities.

    Sample Customers
    Roka Bioscience, Statistics Centre _ Abu Dhabi , Raymond James Financial inc., CaixaBank, Industrial Bank of Korea, Posco, NHS Business Services Authority, RWE Power, LIFE Financial Group,
    EMC Corporation, LivePerson, Eldorado, Mozzart, The VELUX Group, AOK Bundesverband, Hilti Group, Nissha Printing Company Ltd., Asian Paints, Aareal Bank Group, Migros Group
    Top Industries
    VISITORS READING REVIEWS
    Financial Services Firm28%
    Computer Software Company9%
    Manufacturing Company8%
    Real Estate/Law Firm4%
    REVIEWERS
    Computer Software Company17%
    Manufacturing Company13%
    Transportation Company8%
    Retailer8%
    VISITORS READING REVIEWS
    Manufacturing Company14%
    Computer Software Company13%
    Financial Services Firm9%
    Energy/Utilities Company8%
    Company Size
    REVIEWERS
    Midsize Enterprise22%
    Large Enterprise78%
    VISITORS READING REVIEWS
    Small Business17%
    Midsize Enterprise13%
    Large Enterprise71%
    REVIEWERS
    Small Business23%
    Midsize Enterprise9%
    Large Enterprise68%
    VISITORS READING REVIEWS
    Small Business18%
    Midsize Enterprise11%
    Large Enterprise71%
    Buyer's Guide
    Data Quality
    March 2024
    Find out what your peers are saying about Informatica, SAP, Talend and others in Data Quality. Updated: March 2024.
    765,386 professionals have used our research since 2012.

    Oracle Data Quality is ranked 10th in Data Quality with 8 reviews while SAP Data Services is ranked 2nd in Data Quality with 45 reviews. Oracle Data Quality is rated 8.4, while SAP Data Services is rated 8.0. The top reviewer of Oracle Data Quality writes "Fast, has good extraction, validation, and transformation features, and provides good support". On the other hand, the top reviewer of SAP Data Services writes "Responsive support, scalable, and beneficial integration". Oracle Data Quality is most compared with Informatica Data Quality, whereas SAP Data Services is most compared with Azure Data Factory, Syniti Data Quality, Informatica PowerCenter, Palantir Foundry and SSIS.

    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.