• Home
  • AWS Glue vs. SAP Data Services

AWS Glue vs SAP Data Services comparison

Cancel
You must select at least 2 products to compare!
Amazon Web Services (AWS) Logo

AWS Glue

Read 37 AWS Glue reviews
12,012 views|8,420 comparisons
92% willing to recommend
SAP Logo

SAP Data Services

Read 45 SAP Data Services reviews
6,947 views|5,495 comparisons
84% willing to recommend
Comparison Buyer's Guide
Download the complete report
Buyer's Guide
AWS Glue vs. SAP Data Services
March 2024
Executive Summary

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

Find out in this report how the two Cloud Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
To learn more, read our detailed AWS Glue vs. SAP Data Services Report (Updated: March 2024).
Download the complete report
768,578 professionals have used our research since 2012.
Featured Review
Sainagaraju Vaduka
Excellent scalability, with valuable features, and profitable return on investment
We have a large set of data and we are doing some transformations and identification. We are cleaning the data and transformations. Then we are... Read more →
PradeepKumar22
Has a valuable data validation feature, but it could provide more integration with different platforms
The value derived from using SAP Data Services is particularly dependent on the nature of the data being handled. It is the right tool to use if... Read more →
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"The solution helps organizations gain flexibility in defining the structure of the data.""The most valuable features currently are glue studio, jobs, and triggers.""The most valuable feature of AWS Glue is scalability.""The solution is stable and reliable.""I appreciate AWS Glue for its cost-effectiveness.""The solution is highly user-friendly, and its features are easy to use. The new addition of AWS Glue Data Catalog is also very beneficial, making the tool even more helpful for its users.""The product has a valuable feature for data catalog.""The solution is serverless so it allows us to transform data while optimizing the cost and performance of Spark jobs."

More AWS Glue Pros →

"The basic functionality is quite good as is the basic logic and data information.""The solution is easy to use since it's a graphical tool. It also requires only low-level coding.""The most valuable feature is the logging capability.""The initial setup is not complex.""The HANA database, which is very fast, is a valuable feature.""The most valuable feature is the ETL functionality.""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."

More SAP Data Services Pros →

Cons
"It fails to handle massive databases acquired from various sources.""I would like to see stable libraries at the moment they are not there.""The crucial problem with AWS Glue is that it only works with AWS. It is not an agnostic tool like Pentaho. In PowerCenter, we can install the forms from Google and other vendors, but in the case of AWS Glue, we can only use AWS.""Glue could perform better. It sometimes takes too long to test a Glue job. Google Cloud Platform offers more Python scripts than AWS.""If there's a cluster-related configuration, we have to make worker notes, which is quite a headache when processing a large amount of data.""The technical support for this solution could be improved. In future, we would like to connect more services like Athena or Kinesis to help control more loads of data.""On occasion, the solution's dashboard reports that a project failed due to runtime but it actually succeeded.""We face performance issues when using AWS Glue for data transformation and integration."

More AWS Glue Cons →

"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.""With SAP Data Services, the problem arises when I try to connect to Azure Databricks.""In the future, Data Services should offer a cloud version.""Data Services SAP is lacking in sources and target databases compared to Informatica. SAP Data Services should have more connectivity.""The migration of the solution between different environments is quite complex.""The description of error messages isn't extensive, although they point to the problem. With other solutions, like Talend, I was able to use the debugger to get directly to the problem, but with SAP Data Services the debugger is not working. I'm not sure if it's a problem with the version specifically, but I'm using it in an enterprise environment and I can't do an upgrade.""It's an ETL that is very good with relational databases but not as good with files and semi-structured files.""The skillset of data engineers matters a bit to use all the functionality of this solution. Otherwise, the delivery speed won't be faster."

More SAP Data Services Cons →

Pricing and Cost Advice
  • "The pricing is a bit higher than other solutions like Athena and EC2. If the pricing becomes more scaled or flexible, it will be good because you have to pay 44 cents just for one DPU for an hour. If you increase DPUs to 5 or 10, the pricing gets multiplied. There are also some time limits like 0 to 10 minutes or 10 to 20 minutes. If the pricing is according to the minutes, it would be better because you have to limit your job to 10 minutes or 20 minutes."
  • "It is not expensive. AWS Glue works on the serverless architecture. We get charged for the time the server is up. For our use case, we have to use it once in a day, and it is not expensive for us."
  • "Its price is good. We pay as we go or based on the usage, which is a good thing for us because it is simple to forecast for the tool. It is good in terms of the financial planning of the company, and it is a good way to estimate the cost. It is also simple for our clients. In my opinion, it is one of the best tools in the market for ETL processes because of the fact that you pay as you use, which separates it from other big tools such as PowerCenter, Pentaho Data Integration, and Talend."
  • "Technical support is a paid service, and which subscription you have is dependent on that. You must pay one of them, and it ranges from $15,000 to $25,000 per year."
  • "This solution is affordable and there is an option to pay for the solution based on your usage."
  • "AWS Glue is quite costly, especially for small organizations."
  • "AWS Glue uses a pay-as-you-go approach which is helpful. The price of the overall solution is low and is a great advantage."
  • "The overall cost of AWS Glue could be better. It cost approximately $1,000 a month. There is paid support available from AWS Glue."

    • More AWS Glue 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 →

    report
    See Which Vendors Are Best For You
    Use our free recommendation engine to learn which Cloud Data Integration solutions are best for your needs.
    See Recommendations
    768,578 professionals have used our research since 2012.
    Questions from the Community
    How do you select the right cloud ETL tool?
    Top Answer:AWS Glue and Azure Data factory for ELT best performance cloud services.
    Read all 2 answers   →
    How does Talend Open Studio compare with AWS Glue?
    Top Answer:We reviewed AWS Glue before choosing Talend Open Studio. AWS Glue is the managed ETL (extract, transform, and load) from Amazon Web Services. AWS Glue enables AWS users to create and manage jobs in… more »
    What are the most common use cases for AWS Glue?
    Top Answer:AWS Glue's main use case is for allowing users to discover, prepare, move, and integrate data from multiple sources. The product lets you use this data for analytics, application development, or… more »
    Read all 2 answers   →
    How do you evaluate the ratio of price to quality for SAP Data Services?
    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 »
    Read all 2 answers   →
    Would you recommend SAP Data Services to complete beginners?
    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 »
    Read all 2 answers   →
    How has SAP Data Services helped your organization?
    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 »
    Read all 2 answers   →
    Ranking
    1st
    out of 42 in Cloud Data Integration
    Views
    12,012
    Comparisons
    8,420
    Reviews
    32
    Average Words per Review
    419
    Rating
    7.8
    10th
    out of 100 in Data Integration
    Views
    6,947
    Comparisons
    5,495
    Reviews
    15
    Average Words per Review
    504
    Rating
    8.2
    Comparisons
    Also Known As
    SAP BusinessObjects Data Services, SAP BusinessObjects Data Integrator, BusinessObjects Data Integrator
    Learn More
    Amazon Web Services (AWS)
    SAP
    Overview

    AWS Glue is a serverless cloud data integration tool that facilitates the discovery, preparation, movement, and integration of data from multiple sources for machine learning (ML), analytics, and application development. The solution includes additional productivity and data ops tooling for running jobs, implementing business workflows, and authoring.

    AWS Glue allows users to connect to more than 70 diverse data sources and manage data in a centralized data catalog. The solution facilitates visual creation, running, and monitoring of extract, transform, and load (ETL) pipelines to load data into users' data lakes. This Amazon product seamlessly integrates with other native applications of the brand and allows users to search and query cataloged data using Amazon EMR, Amazon Athena, and Amazon Redshift Spectrum.

    The solution also utilizes application programming interface (API) operations to transform users' data, create runtime logs, store job logic, and create notifications for monitoring job runs. The console of AWS Glue connects all of these services into a managed application, facilitating the monitoring and operational processes. The solution also performs provisioning and management of the resources required to run users' workloads in order to minimize manual work time for organizations.

    AWS Glue Features

    AWS Glue groups its features into four categories - discover, prepare, integrate, and transform. Within those groups are the following features:

    • Automatic schema discovery: AWS Glue crawlers connect to the organization's source or target data source through a prioritized list of classifiers to determine the schema for users' data. This feature creates metadata in companies' AWS Glue Data Catalog.

    • Schemas for data stream management: The AWS Glue Schema Registry enables users to validate and control the evolution of streaming data through registered Apache Avro schemas for no additional charge.

    • Automatic scaling based on workload: This feature dynamically scales resources up and down based on workload. The feature controls job resources, removing them depending on how much the workload can be split up.

    • FindMatches: This feature is for machine learning-based data deduplication and cleansing, and works by finding records that are imperfect matches of each other to remove useless data copies.

    • Edit, debug, and test ETL code: This feature helps users who have chosen to interactively develop their ETL code by providing development endpoints for editing, debugging, and testing the code it generates for them.

    • AWS Glue DataBrew: An interactive, point-and-click visual interface for specialists to clean and normalize data without the need to write any code.

    • AWS Glue Interactive Sessions: This feature simplifies the development of data integration jobs by enabling data engineers to interactively prepare and explore data.

    • AWS Glue Studio Job Notebooks: This AWS Glue feature provides serverless notebooks with minimal setup, allowing developers to start working in a timely manner.

    • Complex ETL pipeline building: This feature allows the product to be invoked on a schedule, on demand, or based on an event, allowing users to start multiple jobs in parallel or specify dependencies to build complex ETL pipelines.

    • AWS Glue Studio: This AWS Glue feature allows users to visually transform data through a drag-and-drop interface. The product automatically generates the code for ETL processes for users' data.

    AWS Glue Benefits

    AWS Glue offers a wide range of benefits for its users. These benefits include:

    • Users of other AWS products can easily onboard with AWS Glue, as it is integrated across a wide range of the company's services.

    • The solution is serverless, which allows for a lower total cost of ownership.

    • AWS Glue offers more power for users, as it automates much of the effort in building, maintaining, and running ETL jobs.

    • The product allows customers to easily discover and search across all their AWS datasets through AWS Glue Data Catalog.

    • AWS Glue does not require additional payment for managing and enforcing schemas for data streams.

    • The solution facilitates the authority of scalable ETL jobs for beginners and non-coding experts through a drag-and-drop interface.

    Reviews from Real Users

    Mustapha A., a cloud data engineer at Jems Groupe, likes AWS Glue because it is a product that is great for serverless data transformations.

    Liana I., CEO at Quark Technologies SRL, describes AWS Glue as a highly scalable, reliable, and beneficial pay-as-you-go pricing model.

    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
    bp, Cerner, Expedia, Finra, HESS, intuit, Kellog's, Philips, TIME, workday
    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
    REVIEWERS
    Computer Software Company47%
    Financial Services Firm18%
    Pharma/Biotech Company12%
    Consumer Goods Company6%
    VISITORS READING REVIEWS
    Financial Services Firm19%
    Computer Software Company14%
    Manufacturing Company7%
    Insurance Company7%
    REVIEWERS
    Computer Software Company17%
    Manufacturing Company13%
    Retailer8%
    Pharma/Biotech Company8%
    VISITORS READING REVIEWS
    Manufacturing Company14%
    Computer Software Company13%
    Financial Services Firm9%
    Energy/Utilities Company8%
    Company Size
    REVIEWERS
    Small Business29%
    Midsize Enterprise13%
    Large Enterprise58%
    VISITORS READING REVIEWS
    Small Business15%
    Midsize Enterprise12%
    Large Enterprise73%
    REVIEWERS
    Small Business23%
    Midsize Enterprise9%
    Large Enterprise68%
    VISITORS READING REVIEWS
    Small Business18%
    Midsize Enterprise11%
    Large Enterprise71%
    Buyer's Guide
    AWS Glue vs. SAP Data Services
    March 2024
    Free Report: AWS Glue vs. SAP Data Services
    Find out what your peers are saying about AWS Glue vs. SAP Data Services and other solutions. Updated: March 2024.
    DOWNLOAD NOW
    768,578 professionals have used our research since 2012.

    AWS Glue is ranked 1st in Cloud Data Integration with 37 reviews while SAP Data Services is ranked 10th in Data Integration with 45 reviews. AWS Glue is rated 7.8, while SAP Data Services is rated 8.0. The top reviewer of AWS Glue writes "Provides serverless mechanism, easy data transformation and automated infrastructure management". On the other hand, the top reviewer of SAP Data Services writes "Responsive support, scalable, and beneficial integration". AWS Glue is most compared with AWS Database Migration Service, Informatica PowerCenter, SSIS, Informatica Cloud Data Integration and Talend Open Studio, whereas SAP Data Services is most compared with Azure Data Factory, Syniti Data Quality, Informatica PowerCenter, SAP Process Orchestration and Alteryx Designer. See our AWS Glue vs. SAP Data Services report.

    See our list of best Cloud Data Integration vendors.

    We monitor all Cloud Data Integration 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.