SAP Data Services vs Upsolver comparison

SAP and Upsolver are both solutions in the Data Integration category. SAP is ranked #16 with an average rating of 8.3, while Upsolver is ranked #38 with an average rating of 8.5. SAP holds a 1.5% mindshare in DI, compared to Upsolver’s 0.8% 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

6,504 Views
4,293 Comparison Views

86% willing to recommend

Upsolver

Read 4 Upsolver reviews

1,819 Views
1,455 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: June 2026).

Buyer's Guide

SAP Data Services vs. Upsolver

June 2026

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Helped 902,988 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

16th

Average Rating

8.0

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

Data Quality (3rd)

Upsolver

Ranking in Data Integration

38th

Average Rating

8.6

Reviews Sentiment

7.6

Number of Reviews

Ranking in other categories

Streaming Analytics (21st)

Mindshare comparison

As of July 2026, in the Data Integration category, the mindshare of SAP Data Services is 1.5%, down from 2.3% compared to the previous year. The mindshare of Upsolver is 0.8%, 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	0.8%
Other	97.7%

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

"The most valuable features of the solution are extraction and data transformations."

"The best advantages of SAP Data Services are the good scalability and high customer satisfaction."

"The solution is easy to use since it's a graphical tool. It also requires only low-level coding."

"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."

"It is a very great tool to be used for ETL process."

"The most valuable feature is the ETL functionality."

"One of the most valuable features is that it is integrated."

"SAP Data Services is a very general tool for SAP as a source and SAP as a destination, and it can also connect to any source and any destination, which is a very valuable aspect of the solution."

More SAP Data Services pros

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

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

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

"I have saved 50 to 60% on maintaining pipelines since using Upsolver."

"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

"It would be nice if this solution was a bit easier to move from development to production."

"Scheduling of jobs in the sequence is not available. It's a very tedious process to do that particular task. If there was a tool to schedule in the sequence that would be extremely helpful."

"Newer feature integration is lagging behind the company acquisitions and the product could do more to service a broader range of devices."

"Integration with other products could be improved."

"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."

"We used a different repository for every consultant and it created problems to maintain the final version of each dataflow in every user."

"Technical Support: Not good enough."

"An area for improvement in SAP Data Services could involve making the product more accessible to non-technical end-users."

More SAP Data Services cons

"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."

"I would say Upsolver's scalability is eight out of 10 because of pricing."

"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."

"There is room for improvement in query tuning."

Pricing and Cost Advice

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

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

"The pricing is a little high to make the product more competetive in the marketplace."

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

"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 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 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."

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

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

12%

Construction Company

Financial Services Firm

Government

Real Estate/Law Firm

15%

Manufacturing Company

15%

Retailer

11%

Construction Company

11%

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 is that the pricing is nine out of 10.

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What needs improvement with Upsolver?

I think Upsolver can be improved with deeper integration with external orchestration out of the box. I would appreciate more clear dashboards with billing in real time as a needed improvement.

See all answers

What is your primary use case for Upsolver?

My main use case for Upsolver is to operate with changes in the structure of new data without a pipeline disrupting. I write SQL queries in Upsolver, and the platform takes care of the data itself,...

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Comparisons

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Compared 4% of the time

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Compared 4% of the time

Palantir Foundry vs SAP Data Services

Compared 4% of the time

Qlik Talend Cloud vs SAP Data Services

Compared 3% of the time

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Databricks vs Upsolver

Compared 11% of the time

Striim vs Upsolver

Compared 10% of the time

SAS Access vs Upsolver

Compared 8% of the time

Alteryx Designer vs Upsolver

Compared 7% of the time

Rivery vs Upsolver

Compared 7% of the time

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Product Reports

Buyer's Guide

SAP Data Services

June 2026

Download SAP Data Services product report

Buyer's Guide

Data Integration

June 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 comprehensive data integration and management tool known for its robust ETL functionality and seamless data quality management across SAP and non-SAP systems, providing flexibility and effective data handling.

SAP Data Services offers extensive integration capabilities with a range of systems, enabling efficient data migration, warehousing, and quality assurance. Despite challenges in connectivity, SQL optimization, and handling big data, it remains a top choice for data extraction and transformation. Its user-friendly interface and customization options enhance ease of use. The tool is recognized for scalability, performance, customer satisfaction, and supporting complex data transformations for improved analytics.

What are the key features of SAP Data Services?

Integration Capabilities: Facilitates seamless data handling between SAP and non-SAP systems.
Robust ETL Functionality: Enables effective extraction, transformation, and loading of data.
Seamless Data Quality Management: Maintains high standards of data integrity and quality.
Heterogeneous Data Processing: Supports diverse data environments for flexibility.
Powerful Data Transformation: Enhances reporting and analytics through complex transformations.

What benefits and ROI should be considered?

Scalability: Grows with business needs without compromising performance.
Performance: Efficient data processing and management for increased productivity.
Customer Satisfaction: High satisfaction levels due to reliability and performance.
Flexibility: Extensive customization options to suit diverse requirements.
Improved Analytics: Supports rich analytics through comprehensive data integration and transformation.

SAP Data Services is widely implemented across industries like banking, telecom, and manufacturing. Companies leverage it to integrate multiple data sources and manage migrations from legacy to modern platforms such as cloud environments and HANA architecture. It supports complex transformations essential for financial, operational, and business intelligence reporting, enhancing insights and decision-making.

SAP

Upsolver offers a data lakehouse platform that simplifies big data processing and analytics, enabling data teams to efficiently handle large-scale datasets.

Upsolver's platform focuses on simplifying the complexities of data engineering by transforming raw data into queryable formats quickly. It allows seamless integration with cloud storage and various database systems, providing flexibility for data-driven businesses. The platform automates data preparation tasks, reducing manual coding and allowing teams to focus on extracting insights. Its scalable architecture supports real-time analytics and batch processing.

What are the key features of Upsolver?

Data Ingestion: Easily ingest data from multiple sources with minimal configuration.
Schema On-Read: Automatically interpret data schemas, simplifying data management.
Streaming SQL: Transform and analyze streaming data using a familiar SQL syntax.
Data Lake Integration: Seamlessly connect with data lakes for streamlined workflows.

What benefits and ROI should users consider?

Time Savings: Faster data processing reduces time to insights.
Cost Efficiency: Scalable architecture optimizes infrastructure costs.
Scalability: Handle growing data volumes effortlessly.
Flexibility: Supports wide data storage and processing strategies.

In the e-commerce industry, Upsolver helps businesses optimize their data pipelines for better customer segmentation and personalization, while in finance, it enhances fraud detection capabilities through real-time data analytics.

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

June 2026

Free Report: SAP Data Services vs. Upsolver

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