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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 (7th)
SAS Data Management
Average Rating
8.6
Reviews Sentiment
6.6
Number of Reviews
19
Ranking in other categories
Data Integration (27th), Data Quality (6th), Data Governance (24th)
 

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 8.3% compared to last year.
SAS Data Management, on the other hand, focuses on Data Integration, holds 1.2% mindshare, up 0.9% since last year.
Streaming Analytics Mindshare Distribution
ProductMindshare (%)
Confluent6.6%
Apache Flink7.9%
Databricks7.8%
Other77.7%
Streaming Analytics
Data Integration Mindshare Distribution
ProductMindshare (%)
SAS Data Management1.2%
Informatica Intelligent Data Management Cloud (IDMC)3.7%
SSIS3.7%
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.
Namanjbaraiya Baru - PeerSpot reviewer
Biostatistician at Lambda Therapeutic Research Ltd.
Data management has ensured compliant clinical trial datasets and supports reliable analysis
SAS Data Management's best feature is first, data reliability because SAS Data Management is a very trusted platform. The other valuable feature is data cleaning and the compliance that SAS Data Management provides. I can connect SAS Data Management with other SAS applications, as I am using SAS Viya, SAS 9.4, and SAS Enterprise Guide. The data query functionality of SAS Data Management is also very useful. Since I am using SAS Data Management, and SAS Data Management is well trusted by all regulatory authorities, the audit trails and security checks are very good. It is very reliable, very time-saving, and the chances of error are minimal.

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."
"Our main goal is to validate whether we can build a scalable and cost-efficient way to replicate data from these various sources."
"Some of the best features are that it's very quick to set up, very easy to have a centralized area that gives us a history of changes, and the ability to give feedback on any information placed onto the pages."
"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."
"Implementing Confluent's schema registry has significantly enhanced our organization's data quality assurance."
"The design of the product is extremely well built and it is highly configurable."
"The monitoring module is impressive."
"As an enterprise organization, data availability is critical and Confluent provides that SLA support."
"I am impressed with the tool's ability to customize."
"I think the product is very stable, I think it's a marvelous product, it is very widely used by many people and I never hear people complain."
"The tool is reliable, quick, and powerful."
"The SAS Data Management software has enabled us to have a single source of truth for any data that was earlier being fetched from multiple source systems at multiple times."
"In terms of which features I have found most valuable, I would say the importing and exporting features. Additionally, the data sorting, categorizing and summarizing features, especially how it can summarize based on categories. These are the key features."
"For the warehouse and BI environment, SAS is very quick, very intuitive, very, very powerful, and very valuable."
"Their software pricing offers the best value for money on the market."
"The technical support is excellent."
 

Cons

"It could be improved by including a feature that automatically creates a new topic and puts failed messages."
"The formatting aspect within the page can be improved and more powerful."
"It could be more user-friendly and centralized. A way to reduce redundancy would be helpful."
"It could have more themes. The themes in the version I'm using are very limited; they offer two to three themes."
"From the control center perspective, there is a lot of room for improvement in the visualization."
"I am not very impressed by Confluent. We continuously face issues, such as Kafka being down and slow responses from the support team."
"The pricing was high for our needs. We should not have to pay for features we do not use."
"The product should integrate tools for incorporating diagrams like Lucidchart. It also needs to improve its formatting features. We also faced issues while granting permissions."
"I would like the tool to include the ability to automate the modifications of the integrations."
"Native SAP integration or more efficient SAP is needed."
"Customer Service: When DataFlux was a standalone company, the customer service deserved an A+ rating. Now that it is a wholly owned subsidiary of SAS, and just one piece of a giant software conglomerate, I would give them a C+."
"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."
"SAS Data Management can be improved in terms of the learning curve."
"The solution is quite expensive and hard to install/configure."
"One problem is accessing the data using a solution other than SAS. The SAS data, which we create in the SAS, cannot be accessed by other tools. We can't open those data in other applications. So we need to have that application in place."
"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."
 

Pricing and Cost Advice

"Confluent has a yearly license, which is a bit high because it's on a per-user basis."
"Confluent is an expensive solution as we went for a three contract and it was very costly for us."
"You have to pay additional for one or two features."
"Confluent is expensive, I would prefer, Apache Kafka over Confluent because of the high cost of maintenance."
"It comes with a high cost."
"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."
"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."
"The tool is a bit expensive."
"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 licensing model for vCenter is a perpetual license with yearly payments."
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Top Industries

By visitors reading reviews
Financial Services Firm
15%
Retailer
11%
Computer Software Company
8%
Manufacturing Company
6%
Financial Services Firm
17%
Comms Service Provider
8%
Construction Company
8%
Government
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 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?
SAS Data Management can be improved in terms of the learning curve.
What is your primary use case for SAS Data Management?
My main use case for using SAS Data Management is data cleaning for my clinical trial data because my data is very large, and I need clean, reliable, and regulatory compliance data. My data comes f...
 

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 Databricks, Microsoft, Apache and others in Streaming Analytics. Updated: June 2026.
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