AWS Glue vs SAP Data Services comparison

Amazon Web Services (AWS) and SAP are both solutions in the Cloud Data Integration category. Additionally, 91% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 85% of SAP users who would recommend it.

AWS Glue

Read 45 AWS Glue reviews

10,182 Views
7,213 Comparison Views

91% willing to recommend

SAP Data Services

Read 48 SAP Data Services reviews

5,358 Views
4,306 Comparison Views

85% willing to recommend

AWS Glue

SAP Data Services

Comparison Buyer's Guide

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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: October 2024).

Buyer's Guide

AWS Glue vs. SAP Data Services

October 2024

Download the complete report

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Categories and Ranking

AWS Glue

Average Rating

7.8

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

Cloud Data Integration (1st)

SAP Data Services

Average Rating

8.0

Number of Reviews

Ranking in other categories

Data Integration (10th), Data Quality (2nd)

Featured Reviews

Ajaykumar Myana

Senior Software Developer at a computer software company with 10,001+ employees

Provides serverless mechanism, easy data transformation and automated infrastructure management

We no longer had to worry much about infrastructure management because AWS Glue is serverless, and Amazon takes care of the underlying infrastructure. This allowed us to focus on the code and application logic without concerns about scaling, CPU management, or handling fluctuations in flow. The serverless nature of Glue jobs relieved us from these infrastructure-related worries.

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RambabuMandala

Software Development Senior Advisor at Dell EMC

Responsive support, scalable, and beneficial integration

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. There are a lot of SAP applications and they have good integration with SAP packages. In the next release, they should be more advanced cloud functionalities and web services. More integration with other applications including SAPs and other applications. They should not switch to a complete solution but provide better integration with other applications.

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"The best thing about AWS Glue is its scalability and how easy it is to process a large amount of data."

"One of the best features of the solution is its ability to easily integrate with other AWS services."

"The most valuable feature of AWS Glue is its ease of use and good documentation. Additionally, we can do all the transformations that we need."

"The solution’s most valuable feature is the ETL job."

"I like that it's flexible, powerful, and allows you to write your own queries and scripts to get the needed transformations."

"AWS Glue is quite better than other tools, but you have to learn it properly before you start using it."

"The two features I find most valuable in AWS Glue are its user interface and ease of use."

"The AWS Glue Data Catalog provides metadata management and schema discovery. AWS Glue simplifies data transformation with automatic schema detection, incremental data updates, and integration with other AWS services."

More AWS Glue pros

"Data Services' best features are its robustness and plug-and-play integration with other SAP applications."

"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."

"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."

"I have worked with Data Services for a long time, and currently, I find the dashboarding and reporting part to be the most valuable function."

"We can extract data at a table level, extract data at the ETL level, and we can extract data at an ODP level."

"The user interface is ok."

"The solution has good connectivity with SAP."

"The reporting on the data, even from third-party software, is very good."

More SAP Data Services pros

Cons

"In terms of performance, if they can further optimize the execution time for serverless jobs, it would be a welcome improvement."

"Currently, it supports only two languages in the background: Python and Scala. From our customization point of view, it would be helpful if it can also support Java in the background."

"It would be better if it were more user-friendly. The interesting thing we found is that it was a little strange at the beginning. The way Glue works is not very straightforward. After trying different things, for example, we used just the console to create jobs. Then we realized that things were not working as expected. After researching and learning more, we realized that even though the console creates the script for the ETL processes, you need to modify or write your own script in Spark to do everything you want it to do. For example, we are pulling data from our source database and our application database, which is in Aurora. From there, we are doing the ETL to transform the data and write the results into Redshift. But what was surprising is that it's almost like whatever you want to do, you can do it with Glue because you have the option to put together your own script. Even though there are many functionalities and many connections, you have the opportunity to write your own queries to do whatever transformations you need to do. It's a little deceiving that some options are supposed to work in a certain way when you set them up in the console, but then they are not exactly working the right way or not as expected. It would be better if they provided more examples and more documentation on options."

"Only people who can code, either in Java or Python, can use the product freely. Those who don't know Java or Python might find using AWS Glue difficult."

"It is not clear how the partition discovery would have been affected by more data coming in."

"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."

"I haven't looked into Glue in terms of seeking out flaws. I've not come across missing features."

"The product is expensive for data streaming. This area needs improvement."

More AWS Glue cons

"Integration with other products could be improved."

"The pricing of the solution should be improved."

"Source code control is another headache. When your source code base gets too large, managing the source code becomes cumbersome."

"It will work fine only in an SAP environment. It could be said that the integration with other vendors could be better."

"With SAP Data Services, the problem arises when I try to connect to Azure Databricks."

"The execution engines and processing engines have shortcomings and need improvements."

"There should be some kind of enhancement that can be done on the admin side of certain sites where we can assign the roles and responsibilities. We should be able to control who is using the tool and how."

"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."

More SAP Data Services cons

Pricing and Cost Advice

"I rate the tool an eight on a scale of one to ten, where one is expensive, and ten is expensive."

"AWS Glue is a paid service that doesn't come under the free trial of AWS."

"I rate the tool's pricing a four out of ten."

"If you are using the solution for an enterprise business, it will be expensive."

"AWS Glue is quite costly, especially for small organizations."

"AWS Glue follows a pay-as-you-go model, wherein the cost of the data you use will be counted as a monthly bill."

"I would rate the solution a six or seven on a scale of one to ten, with ten being very expensive. Specifically, I rate its pricing a six out of ten."

"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

"Speaking about prices, Oracle and SAP are market leaders. So, the prices are more."

"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."

"The enterprise version of SAP Data Services is free."

"There is a one time purchase fee plus annual maintenance."

"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."

"It's relatively expensive compared to other vendors, but it is competitive."

"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."

"I rate the product price as one or two on a scale of one to ten, where one is a low price, and ten is a high price."

More SAP Data Services pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

21%

Computer Software Company

14%

Manufacturing Company

Insurance Company

Manufacturing Company

15%

Computer Software Company

13%

Financial Services Firm

Energy/Utilities Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

How do you select the right cloud ETL tool?

AWS Glue and Azure Data factory for ELT best performance cloud services.

See all answers

How does Talend Open Studio compare with AWS Glue?

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...

See all answers

What are the most common use cases for AWS Glue?

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 ma...

See all answers

How do you evaluate the ratio of price to quality for SAP Data Services?

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 pr...

See all answers

Would you recommend SAP Data Services to complete beginners?

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 mo...

See all answers

How has SAP Data Services helped your organization?

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 av...

See all answers

Comparisons

AWS Database Migration Service vs AWS Glue

Compared 34% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs AWS Glue

Compared 7% of the time

Informatica PowerCenter vs AWS Glue

Compared 6% of the time

SSIS vs AWS Glue

Compared 5% of the time

More AWS Glue Competitors

Syniti Data Quality vs SAP Data Services

Compared 20% of the time

Azure Data Factory vs SAP Data Services

Compared 13% of the time

Informatica PowerCenter vs SAP Data Services

Compared 9% of the time

SAP Process Orchestration vs SAP Data Services

Compared 7% of the time

Talend Data Management Platform vs SAP Data Services

Compared 3% of the time

More SAP Data Services Competitors

Product Reports

Buyer's Guide

AWS Glue

November 2024

Download AWS Glue product report

Buyer's Guide

SAP Data Services

October 2024

Download SAP Data Services product report

Also Known As

No data available

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

Buyer's Guide

AWS Glue vs. SAP Data Services

October 2024

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