SAP Data Services vs Upsolver comparison

SAP and Upsolver are both solutions in the Data Integration category. SAP is ranked #14 with an average rating of 8.3, while Upsolver is ranked #39 with an average rating of 8.3. SAP holds a 1.5% mindshare in DI, compared to Upsolver’s 0.7% mindshare. Additionally, 86% of SAP users are willing to recommend the solution, compared to 100% of Upsolver users who would recommend it.

SAP Data Services

Read 52 SAP Data Services reviews

4,517 Views
2,801 Comparison Views

86% willing to recommend

Upsolver

Read 3 Upsolver reviews

869 Views
704 Comparison Views

100% willing to recommend

SAP Data Services

Upsolver

Comparison Buyer's Guide

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Executive Summary

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

Find out in this report how the two Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed SAP Data Services vs. Upsolver Report (Updated: March 2026).

Buyer's Guide

SAP Data Services vs. Upsolver

March 2026

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Helped 885,376 peers since 2012

Review summaries and opinions

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

Categories and Ranking

SAP Data Services

Ranking in Data Integration

14th

Average Rating

8.0

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

Data Quality (3rd)

Upsolver

Ranking in Data Integration

39th

Average Rating

8.4

Reviews Sentiment

7.4

Number of Reviews

Ranking in other categories

Streaming Analytics (21st)

Mindshare comparison

As of March 2026, in the Data Integration category, the mindshare of SAP Data Services is 1.5%, down from 2.4% compared to the previous year. The mindshare of Upsolver is 0.7%, up from 0.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration Mindshare Distribution
Product	Mindshare (%)
SAP Data Services	1.5%
Upsolver	0.7%
Other	97.8%

Data Integration

Featured Reviews

Ramesh Pampana

Manager, SAP Practice at a computer software company with 1,001-5,000 employees

Has consistently provided impressive data handling capabilities and robust security features

Some of the most valuable features of SAP Data Services include data extraction where SAP is the best in that perspective, but when it comes to analytics or the reporting tool, I prefer to connect with Microsoft Power BI, which is a fantastic tool. Typically, from an end-user perspective, SAP has a huge amount of data, in terms of terabytes of data, but when you analyze that, the best form of visualization is always through Microsoft Power BI. SAP Data Services provides a best-in-class return on investment, as SAP's vision and forecast are absolutely amazing. They are ahead of technology, building an ecosystem that meets the standards of the fast-changing digital economy. SAP is indeed good at all this now, with so many components such as SAP Signavio, SAP EINS, SAP Work Zone, SAP ALM, Cloud ALM, SAP public cloud, SAP private cloud, and BTP, all of which are essential to meet the latest cutting-edge technologies.

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reviewer2784462

Software Engineer at a tech vendor with 10,001+ employees

Streaming pipelines have become simpler and onboarding new data sources is now much faster

One of the best features Upsolver offers is the automatic schema evolution. Another good feature is SQL-based streaming transformations. Complex streaming transformations such as cleansing, deduplication, and enrichment were implemented using SQL and drastically reduced the need for custom Spark code. My experience with the SQL-based streaming transformations in Upsolver is that it had a significant positive impact on the overall data engineering workflow. By replacing custom Spark streaming jobs with declarative SQL logic, I simplified development, review, and deployment processes. Data transformations such as parsing, filtering, enrichment, and deduplication could be implemented and modified quickly without rebuilding or redeploying complex code-based pipelines. Upsolver has impacted my organization positively because it brings many benefits. The first one is faster onboarding of new data sources. Another one is more reliable streaming pipelines. Another one is near-real-time data availability, which is very important for us. It also reduced operational effort for data engineering teams. A specific outcome that highlights these benefits is that the time to onboard new sources is reduced from weeks to days. Custom Spark code reduction reached 50 to 40 percent. Pipeline failures are reduced by 70 to 80 percent. Data latency is improved from hours to minutes.

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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

"Scalability is good in extending the features in terms of data warehouse scalability."

"The technical support from SAP was quick and technically very clear."

"The logic is also simple. It makes it easy to build your extraction."

"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."

"The solution helps us to collect and analyze data, and this is the most valuable feature for us."

"The most valuable feature is the ETL functionality."

"The solution helps us to collect and analyze data, and this is the most valuable feature for us."

"Data Services is extremely stable and stability information steward is considerably higher in version 4.2 than it was at the initial version 4.0."

More SAP Data Services pros

"The most prominent feature of Upsolver is its function as an ETL tool, allowing data to be moved across platforms and different data technologies."

"It was easy to use and set up, with a nearly no-code interface that relied mostly on drag-and-drop functionality."

"Customer service is excellent, and I would rate it between eight point five to nine out of ten."

"A specific outcome that highlights these benefits is that the time to onboard new sources is reduced from weeks to days, custom Spark code reduction reached 50 to 40 percent, pipeline failures are reduced by 70 to 80 percent, and data latency is improved from hours to minutes."

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."

"The pricing of the solution should be improved."

"There needs to be multi-language support, however, my understanding is they are working on multi-language now."

"In the future, Data Services should offer a cloud version."

"There are a lot of version improvements in the years and makes it hard to sync up with older versions of the same tool."

"This is not a solution I recommend for incident management."

"While Data Services performs very well when dealing with relational structures and to a lesser degree with delimited files, there is significant room from improvement with the integration with web services and related data formats (XML, JSON, etc.)."

"Dealing with the REST API is not easy with Data Services. It is mandatory to have a WADL file and it is difficult to find this file and set it up."

More SAP Data Services cons

"There is room for improvement in query tuning."

"I think that Upsolver can be improved in orchestration because it is not a full orchestration tool."

"Upsolver excels in ETL and data aggregation, while ThoughtSpot is strong in natural language processing for querying datasets. Combining these tools can be very effective: Upsolver handles aggregation and ETL, and ThoughtSpot allows for natural language queries. There’s potential for highlighting these integrations in the future."

"On the stability side, I would rate it seven out of ten. Using multiple cloud providers and data engineering technologies creates complexity, and managing different plugins is not always easy, but they are working on it."

Pricing and Cost Advice

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

"Its pricing is as per the enterprise agreement and not a concern for us."

"The product’s on-premise version is expensive for a medium-sized company."

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

"Pricing is good, there is no problem."

"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."

"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."

More SAP Data Services pricing and cost advice

"Upsolver is affordable at approximately $225 per terabyte per year."

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Top Industries

By visitors reading reviews

Manufacturing Company

13%

Government

Computer Software Company

Construction Company

No data available

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	13
Midsize Enterprise	5
Large Enterprise	36

No data available

Questions from the Community

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...

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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...

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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...

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What is your experience regarding pricing and costs for Upsolver?

My experience with pricing, setup cost, and licensing was a very good experience, but it is not a direct experience because it was not my responsibility. It was in charge of the customer. However, ...

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What needs improvement with Upsolver?

I think that Upsolver can be improved in orchestration because it is not a full orchestration tool. I believe it could be better in this regard. The cost needs attention at a very large scale. I th...

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What is your primary use case for Upsolver?

My main use case for Upsolver is during an IT consulting project for a large enterprise running a cloud-native data platform on AWS. I used Upsolver to ingest and process high-volume stream data fr...

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Comparisons

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Compared 7% of the time

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Compared 5% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs SAP Data Services

Compared 4% of the time

Qlik Talend Cloud vs SAP Data Services

Compared 4% of the time

SSIS vs SAP Data Services

Compared 3% of the time

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Compared 12% of the time

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Compared 9% of the time

Alteryx Designer vs Upsolver

Compared 9% of the time

IBM Cloud Pak for Data vs Upsolver

Compared 8% of the time

Striim vs Upsolver

Compared 8% of the time

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Product Reports

Buyer's Guide

SAP Data Services

March 2026

Download SAP Data Services product report

Buyer's Guide

Data Integration

March 2026

Download Upsolver product report

Also Known As

SAP BusinessObjects Data Services, SAP BusinessObjects Data Integrator, BusinessObjects Data Integrator

No data available

Overview

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.

SAP

Upsolver's mission is to turn engineering-intensive data lakes into easy-to-use repositories that serve 50X more data professionals compared to the status-quo today. Upsolver cuts 95% from the tedious process of preparing event data for analytics and machine learning, using a visual SQL-based interface, a cloud-native data platform and deep technology for stream-processing, indexing and eventually-consistent file systems.

Upsolver

Sample Customers

EMC Corporation, LivePerson, Eldorado, Mozzart, The VELUX Group, AOK Bundesverband, Hilti Group, Nissha Printing Company Ltd., Asian Paints, Aareal Bank Group, Migros Group

Information Not Available

Buyer's Guide

SAP Data Services vs. Upsolver

March 2026

Free Report: SAP Data Services vs. Upsolver

Find out what your peers are saying about SAP Data Services vs. Upsolver and other solutions. Updated: March 2026.

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