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Confluent vs SAP Data Services comparison

 

Comparison Buyer's Guide

Executive Summary

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

Confluent
Average Rating
8.2
Reviews Sentiment
6.3
Number of Reviews
25
Ranking in other categories
Streaming Analytics (6th)
SAP Data Services
Average Rating
8.0
Reviews Sentiment
6.7
Number of Reviews
52
Ranking in other categories
Data Integration (16th), Data Quality (3rd)
 

Mindshare comparison

Confluent and SAP Data Services aren’t in the same category and serve different purposes. Confluent is designed for Streaming Analytics and holds a mindshare of 6.6%, down 8.2% compared to last year.
SAP Data Services, on the other hand, focuses on Data Integration, holds 1.5% mindshare, down 2.3% since last year.
Streaming Analytics Mindshare Distribution
ProductMindshare (%)
Confluent6.6%
Apache Flink8.9%
Databricks8.1%
Other76.4%
Streaming Analytics
Data Integration Mindshare Distribution
ProductMindshare (%)
SAP Data Services1.5%
SSIS3.7%
Informatica Intelligent Data Management Cloud (IDMC)3.6%
Other91.2%
Data Integration
 

Featured Reviews

PavanManepalli - PeerSpot reviewer
AVP - Sr Middleware Messaging Integration Engineer at Wells Fargo
Has supported streaming use cases across data centers and simplifies fraud analytics with SQL-based processing
I recommend that Confluent should improve its solution to keep up with competitors in the market, such as Solace and other upcoming tools such as NATS. Recently, there has been a lot of buzz about Confluent charging high fees while not offering features that match those of other tools. They need to improve in that direction by not only reducing costs but also providing better solutions for the problems customers face to avoid frustrations, whether through future enhancement requests or ensuring product stability. The cost should be worked on, and they should provide better solutions for customers. Solutions should focus on hierarchical topics; if a customer has different types of data and sources, they should be able to send them to the same place for analytics. Currently, Confluent requires everything to send to the same topic, which becomes very large and makes running analytics difficult. The hierarchy of topics should be improved. This part is available in MQ and other products such as Solace, but it is missing in Confluent, leading many in capital markets and trading to switch to Solace. In terms of stability, it is not the stability itself that needs improvement but rather the delivery semantics. Other products offer exactly-once delivery out of the box, whereas Confluent states it will offer this but lacks the knobs or levers for tuning configurations effectively. Confluent has hundreds of configurations that application teams must understand, which creates a gap. Users are often unaware of what values to set for better performance or to achieve exactly-once semantics, making it difficult to navigate through them. Delivery semantics also need to be worked on.
Ramesh Pampana - PeerSpot reviewer
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.

Quotes from Members

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

Pros

"We mostly use the solution's message queues and event-driven architecture."
"The most valuable feature of Confluent is the wide range of features provided; they're leading the market in this category."
"We ensure seamless management of Kafka through Confluent, allowing all of our Kafka activities to be handled by a third party."
"Confluent facilitates the messaging tasks with Kafka, streamlining our processes effectively."
"Having used SharePoint in the past, when I compare with traditional, old document repositories, like SharePoint, I would definitely recommend Confluent."
"Overall, it's a great company and they have excellent software."
"The monitoring module is impressive."
"Their tech support is amazing; they are very good, both on and off-site."
"The maintenance of data services is the solution's most valuable feature."
"The reporting on the data, even from third-party software, is very good."
"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."
"If they want to be on an equal level in the data analyst field, this is one of the finest tools."
"Doing De-Deduplication of data for Data Cleansing is much easier and has been revolutionised with Data Services, especially used in conjunction with SAP Information Stewards."
"Customer Service: 100% as no manual intervention is required once the solution is implemented."
"Data Services' best features are its robustness and plug-and-play integration with other SAP applications."
"Its integration capabilities and the data migration capabilities are the most valuable. It is very good for SAP and non-SAP tools. It has very good integration with SAP, but it also has the capabilities to connect to other systems. We find it very helpful and stable."
 

Cons

"It could be more user-friendly and centralized. A way to reduce redundancy would be helpful."
"The pricing model should include the ability to pick features and be charged for them only."
"Confluent is expensive, I would prefer, Apache Kafka over Confluent because of the high cost of maintenance."
"The formatting aspect within the page can be improved and more powerful."
"From the control center perspective, there is a lot of room for improvement in the visualization."
"It could have more themes. The themes in the version I'm using are very limited; they offer two to three themes."
"One area we've identified that could be improved is the governance and access control to the Kafka topics. We've found some limitations, like a threshold of 10,000 rules per cluster, that make it challenging to manage access at scale if we have many different data sources."
"It could be improved by including a feature that automatically creates a new topic and puts failed messages."
"Error logging is very cryptic."
"Data Services SAP is lacking in sources and target databases compared to Informatica. SAP Data Services should have more connectivity."
"The interface of SAP Data Services is still easy to use, but it is also dated as things are evolving."
"It would be nice if this solution was a bit easier to move from development to production."
"At the integration level, there could be certain set of improvement to connect to various other systems."
"The solution should offer more machine learning and automation."
"It's an ETL that is very good with relational databases but not as good with files and semi-structured files."
"They could make it easier to work with web services."
 

Pricing and Cost Advice

"On a scale from one to ten, where one is low pricing and ten is high pricing, I would rate Confluent's pricing at five. I have not encountered any additional costs."
"The pricing model of Confluent could improve because if you have a classic use case where you're going to use all the features there is no plan to reduce the features. You should be able to pick and choose basic services at a reduced price. The pricing was high for our needs. We should not have to pay for features we do not use."
"The solution is cheaper than other products."
"Regarding pricing, I think Confluent is a premium product, but it's hard for me to say definitively if it's overly expensive. We're still trying to understand if the features and reduced maintenance complexity justify the cost, especially as we scale our platform use."
"Confluent has a yearly license, which is a bit high because it's on a per-user basis."
"Confluent is an expensive solution."
"You have to pay additional for one or two features."
"Confluent is highly priced."
"The price is very reasonable."
"It's relatively expensive compared to other vendors, but it is competitive."
"Its pricing is as per the enterprise agreement and not a concern for us."
"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."
"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."
"The enterprise version of SAP Data Services is free."
"Pricing is good, there is no problem."
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Top Industries

By visitors reading reviews
Financial Services Firm
15%
Retailer
11%
Computer Software Company
10%
Manufacturing Company
5%
Manufacturing Company
13%
Government
8%
Computer Software Company
7%
Construction Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business6
Midsize Enterprise4
Large Enterprise17
By reviewers
Company SizeCount
Small Business13
Midsize Enterprise5
Large Enterprise36
 

Questions from the Community

What is your experience regarding pricing and costs for Confluent?
They charge a lot for scaling, which makes it expensive.
What needs improvement with Confluent?
I recommend that Confluent should improve its solution to keep up with competitors in the market, such as Solace and other upcoming tools such as NATS. Recently, there has been a lot of buzz about ...
What is your primary use case for Confluent?
The main use cases for Confluent are log aggregation and streaming. I'm familiar with Confluent stream processing with KSQL. KSQL helps in terms of data analytics strategies because if we are the d...
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...
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...
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...
 

Also Known As

No data available
SAP BusinessObjects Data Services, SAP BusinessObjects Data Integrator, BusinessObjects Data Integrator
 

Overview

 

Sample Customers

ING, Priceline.com, Nordea, Target, RBC, Tivo, Capital One, Chartboost
EMC Corporation, LivePerson, Eldorado, Mozzart, The VELUX Group, AOK Bundesverband, Hilti Group, Nissha Printing Company Ltd., Asian Paints, Aareal Bank Group, Migros Group
Find out what your peers are saying about Confluent vs. SAP Data Services and other solutions. Updated: April 2026.
894,738 professionals have used our research since 2012.