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Confluent vs SAS Data Management 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)
SAS Data Management
Average Rating
8.6
Reviews Sentiment
6.6
Number of Reviews
18
Ranking in other categories
Data Integration (28th), Data Quality (7th), Data Governance (23rd)
 

Mindshare comparison

Confluent and SAS Data Management 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.
SAS Data Management, on the other hand, focuses on Data Integration, holds 1.3% mindshare, up 0.8% since last year.
Streaming Analytics Mindshare Distribution
ProductMindshare (%)
Confluent6.6%
Apache Flink8.9%
Databricks8.1%
Other76.4%
Streaming Analytics
Data Integration Mindshare Distribution
ProductMindshare (%)
SAS Data Management1.3%
SSIS3.7%
Informatica Intelligent Data Management Cloud (IDMC)3.6%
Other91.4%
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.
FK
Data Scientist & Scrum Master at Volvo Group
Has supported centralized data access and improved governance through unified administration
The best features I appreciate about SAS Data Management tool are that it's easy to create the flows and schedule data, and the tables are not too big, making it easy to control the ETL process, including user access which is also easy to manage in SAS. The data integration tools with SAS Data Management were quite good because they allowed me to do all lineage, to manage and see all the variables, find the libraries where the data is, and understand the data in just one tool. Offering another development environment combining code and predefined objects, where I could just drag and drop to achieve what I needed, although some objects were not too good, but some were effective. The metadata management feature of SAS Data Management helps a lot; creating your data marts or data lake with good naming conventions, library conventions, and so on is very important because it allows easy queries to find the whole structure, though I think metadata governance also depends on first definitions, not only on the tool. SAS Data Management is very good for data governance; for me, it was the best tool I worked with in data management, although I don't have too much experience with others, and it truly helped a lot.

Quotes from Members

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

Pros

"The client APIs are the most valuable feature."
"I find Confluent's Kafka Connectors and Kafka Streams invaluable for my use cases because they simplify real-time data processing and ETL tasks by providing reliable, pre-packaged connectors and tools."
"The most valuable feature that we are using is the data replication between the data centers allowing us to configure a disaster recovery or software. However, is it's not mandatory to use and because most of the features that we use are from Apache Kafka, such as end-to-end encryption. Internally, we can develop our own kind of product or service from Apache Kafka."
"We mostly use the solution's message queues and event-driven architecture."
"The design of the product is extremely well built and it is highly configurable."
"The benefit is escaping email communication. Sometimes people ignore emails or put them into spam, but with Confluence, everyone sees the same text at the same time."
"The most valuable feature of Confluent is the wide range of features provided; they're leading the market in this category."
"Confluent facilitates the messaging tasks with Kafka, streamlining our processes effectively."
"Its robustness is valuable, it is a full-fledged suite, we have a data warehouse model, and there are also a lot of data quality management tools, the repository and all other tools are there, so it is a full package in terms of reporting tools."
"The monitoring capabilities are very good."
"National Quality Knoledge Base Matching features QPI (Quality Performance Indicator) analysis approach"
"DataFlux in my opinion is an excellent high end solution for enterprise wide data management."
"This is an established product with powerful data analysis and varied options for user entry points."
"The platform's robust data governance capabilities ensure strong compliance with regulatory standards."
"The ROI can be very high in terms of improving the reliability and accuracy of data used in forecasting and marketing models (ex: customer data, sales data)."
"The solution is very stable. We haven't faced any issues with glitches or bugs. We haven't had any crashes."
 

Cons

"Recently, there has been a lot of buzz about Confluent charging high fees while not offering features that match those of other tools."
"I am not very impressed by Confluent. We continuously face issues, such as Kafka being down and slow responses from the support team."
"Currently, in the early stages, I see a gap on the security side. If you are using the SaaS version, we would like to get a fuller, more secure solution that can be adopted right out of the box. Confluence could do a better job sharing best practices or a reusable pattern that others have used, especially for companies that can not afford to hire professional services from Confluent."
"In Confluent, there could be a few more VPN options."
"It would help if the knowledge based documents in the support portal could be available for public use as well."
"It could be more user-friendly and centralized. A way to reduce redundancy would be helpful."
"Confluent has fallen behind in being the tool of the industry. It's taking second place to things such as Word and SharePoint and other office tools that are more dynamic and flexible than Confluent."
"It could have more integration with different platforms."
"Integration and cloud migration are areas where we see potential for improvement."
"The solution is quite expensive and hard to install/configure."
"The support for SAS in Brazil is not the best one, but the support in Sweden is really good, as they visit the company and work to solve the issues."
"Very little needs to improve but perhaps a nicer graphic interface and remaining competetive in the growing field of data analytics."
"There is significant room for improvement, especially with regard to using a hybrid approach that involves both CAS and persistent storage."
"With SAS Data Management, you have to purchase an external driver, configure all of the tables for all of the data that you will extract from Salesforce; it's not a straightforward process."
"We implemented it a while ago, and we are trying to improve the data delivery performance. We are looking into how to get faster and automated reporting. We would need better designs and workflows."
"The stability could be a bit better. It's lacking in this area right now."
 

Pricing and Cost Advice

"Confluent is expensive, I would prefer, Apache Kafka over Confluent because of the high cost of maintenance."
"Confluent is highly priced."
"Confluence's pricing is quite reasonable, with a cost of around $10 per user that decreases as the number of users increases. Additionally, it's worth noting that for teams of up to 10 users, the solution is completely free."
"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."
"Confluent is an expensive solution as we went for a three contract and it was very costly for us."
"Confluent is an expensive solution."
"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."
"The licensing model for vCenter is a perpetual license with yearly payments."
"The solution is expensive."
"While it is even free for personal use on the cloud, it can be expensive for desktop installations and enterprise use."
"The tool is a bit expensive."
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Top Industries

By visitors reading reviews
Financial Services Firm
15%
Retailer
11%
Computer Software Company
10%
Manufacturing Company
5%
Financial Services Firm
20%
Healthcare Company
7%
Government
7%
Manufacturing Company
6%
 

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 Business8
Midsize Enterprise2
Large Enterprise8
 

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...
What is your experience regarding pricing and costs for SAS Data Management?
From my experience, SAS Data Management is an expensive tool.
What needs improvement with SAS Data Management?
There is significant room for improvement, especially with regard to using a hybrid approach that involves both CAS and persistent storage.
What is your primary use case for SAS Data Management?
The main idea for using SAS Data Management was to bring all data inside SAS. I brought the finance area and the sales area in the company that I have worked, along with some market planning data, ...
 

Also Known As

No data available
SAS Data Management Platform, Data Management Platform, DataFlux
 

Overview

 

Sample Customers

ING, Priceline.com, Nordea, Target, RBC, Tivo, Capital One, Chartboost
Data Management, 1-800-FLOWERS.COM, Absa, Aegon, Allianz Global Corporate & SpecialtyAusgrid, Bank of Queensland, Bell, BMC Software, Canada Post, Ceska pojistovna, Chantecler, Chubb Group of Insurance Companies, Credit Guarantee Corporation, Cr_dito y Cauci‹n, Delaware State Police, Deutsche Lufthansa, Directorate of Economics and Statistics, DSM, Enerjisa, ERGO Insurance Group, Florida Department of Corrections, Generali Hellas, Gitanjali Group, Gloucestershire Constabulary, GS Home Shopping, HealthPartners, IAG New Zealand, iJET, Invacare, Livzon Pharmaceutical Group, Los Angeles County, Miami Herald Media Company, Netherlands Enterprise Agency, New Zealand Ministry of Health, Nippon Paper, North Carolina Office of Information Technology Services, Orlando Magic, OTP Group, PITT OHIO, Plano Independent School District, RWE Poland, Spanish Air Force, Stockholm County Council, Telus, The Travel Corporation, Transitions Optical, Triad Analytic Solutions, UNIQA, US Census Bureau, US Department of Housing and Urban Development, USDA National Agricultural Statistics Service, West Midlands Police, XS Inc., Zenith Insurance
Find out what your peers are saying about Confluent vs. SAS Data Management and other solutions. Updated: April 2026.
894,738 professionals have used our research since 2012.