SAS Access vs Spring Cloud Data Flow comparison

SAS and VMware are both solutions in the Data Integration category. SAS is ranked #57, while VMware is ranked #24 with an average rating of 7.7. SAS holds a 0.3% mindshare in DI, compared to VMware’s 1.1% mindshare. Additionally, 100% of SAS users are willing to recommend the solution, compared to 88% of VMware users who would recommend it.

SAS Access

Read 3 SAS Access reviews

266 Views
217 Comparison Views

100% willing to recommend

Spring Cloud Data Flow

Read 9 Spring Cloud Data Flow reviews

1,421 Views
1,057 Comparison Views

88% willing to recommend

SAS Access

Spring Cloud Data Flow

Comparison Buyer's Guide

Download the report

Executive SummaryUpdated on Dec 19, 2024

SAS Access and Spring Cloud Data Flow are tools in the data integration and processing domain. SAS Access appears to have a competitive edge with its pricing and support, while Spring Cloud Data Flow excels in transformative features for real-time data orchestration.

Features: SAS Access provides seamless integration with numerous data sources, advanced data manipulation tools, and robust data access capabilities. Spring Cloud Data Flow creates scalable and distributed data processing applications, supports continuous integration and deployment, and leverages a dynamic microservices architecture.

Ease of Deployment and Customer Service: Spring Cloud Data Flow's modular deployment model and cloud-native approach provide enhanced flexibility. SAS Access's deployment integrates smoothly with enterprise systems, offering traditional deployment. Both offer effective customer service, with Spring Cloud Data Flow offering extensive documentation for cloud platforms and SAS Access providing established enterprise support channels.

Pricing and ROI: SAS Access has a competitive setup cost, yielding impressive ROI with its data capabilities and integration efficiency. Spring Cloud Data Flow has a potentially higher upfront cost but offers substantial ROI through scalable architecture and reduced operational complexities.

To learn more, read our detailed SAS Access vs. Spring Cloud Data Flow Report (Updated: April 2025).

Buyer's Guide

SAS Access vs. Spring Cloud Data Flow

April 2025

Download the complete report

Helped 848,253 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

SAS Access

Ranking in Data Integration

57th

Average Rating

9.0

Reviews Sentiment

7.5

Number of Reviews

Ranking in other categories

No ranking in other categories

Spring Cloud Data Flow

Ranking in Data Integration

24th

Average Rating

7.8

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Streaming Analytics (9th)

Mindshare comparison

As of April 2025, in the Data Integration category, the mindshare of SAS Access is 0.3%, up from 0.2% compared to the previous year. The mindshare of Spring Cloud Data Flow is 1.1%, up from 0.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration

Featured Reviews

Robert Heck

Co Owner at Hecht und Heck GmbH

The solution is stable, scalable, and flexible

I rate the solution eight out of ten. The number of people required to maintain the solution is dependent on the other applications running. The solution in itself does not require a lot of maintenance. The solution is flexible and I recommend it when you have more complex applications with special requirements.

Read full review

NitinGoyal

Engineering Lead at Naukri.com

Has a plug-and-play model and provides good robustness and scalability

The solution's community support could be improved. I don't know why the Spring Cloud Data Flow community is not very strong. Community support is very limited whenever you face any problem or are stuck somewhere. I'm not sure whether it has improved in the last six months because this pipeline was set up almost two years ago. I struggled with that a lot. For example, there was limited support whenever I got an exception and sought help from Stack Overflow or different forums. Interacting with Kubernetes needs a few certificates. You need to define all the certificates within your application. With the help of those certificates, your Java application or Spring Cloud Data Flow can interact with Kubernetes. I faced a lot of hurdles while placing those certificates. Despite following the official documentation to define all the replicas, readiness, and liveliness probes within the Spring Cloud Data Flow application, it was not working. So, I had to troubleshoot while digging in and debugging the internals of Spring Cloud Data Flow at that time. It was just a configuration mismatch, and I was doing nothing weird. There was a small spelling difference between how Spring Cloud Data Flow was expecting it and how I passed it. I was just following the official documentation.

Read full review

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 aspect of the solution is the ease of access to the data in those databases."

"The most valuable feature is you have native access to the external databases."

"The most valuable part of SAS/ACCESS is what it is made for: connecting to remote systems that are not part of your physical SAS environment."

"The most valuable feature is real-time streaming."

"The best thing I like about Spring Cloud Data Flow is its plug-and-play model."

"The product is very user-friendly."

"There are a lot of options in Spring Cloud. It's flexible in terms of how we can use it. It's a full infrastructure."

"The ease of deployment on Kubernetes, the seamless integration for orchestration of various pipelines, and the visual dashboard that simplifies operations even for non-specialists such as quality analysts."

"The most valuable features of Spring Cloud Data Flow are the simple programming model, integration, dependency Injection, and ability to do any injection. Additionally, auto-configuration is another important feature because we don't have to configure the database and or set up the boilerplate in the database in every project. The composability is good, we can create small workloads and compose them in any way we like."

"The solution's most valuable feature is that it allows us to use different batch data sources, retrieve the data, and then do the data processing, after which we can convert and store it in the target."

"The dashboards in Spring Cloud Dataflow are quite valuable."

Cons

"The solution can provide access to the newer databases that come out sooner."

"I can't really recall any missing feature or general improvement that is needed. We don't really add too many new kinds of databases and therefore our needs are already met."

"The pricing model needs to be reconsidered and adjusted."

"I would improve the dashboard features as they are not very user-friendly."

"The configurations could be better. Some configurations are a little bit time-consuming in terms of trying to understand using the Spring Cloud documentation."

"There were instances of deployment pipelines getting stuck, and the dashboard not always accurately showing the application status, requiring manual intervention such as rerunning applications or refreshing the dashboard."

"Some of the features, like the monitoring tools, are not very mature and are still evolving."

"Spring Cloud Data Flow is not an easy-to-use tool, so improvements are required."

"The solution's community support could be improved."

"Spring Cloud Data Flow could improve the user interface. We can drag and drop in the application for the configuration and settings, and deploy it right from the UI, without having to run a CI/CD pipeline. However, that does not work with Kubernetes, it only works when we are working with jars as the Spring Cloud Data Flow applications."

"On the tool's online discussion forums, you may get stuck with an issue, making it an area where improvements are required."

Pricing and Cost Advice

"The solution's pricing and licensing are expensive."

"The pricing model is complex and is based on modular packages as well as the size of the applicable environment."

"If you want support from Spring Cloud Data Flow there is a fee. The Spring Framework is open-source and this is a free solution."

"The solution provides value for money, and we are currently using its community edition."

"This is an open-source product that can be used free of charge."

See which vendors are best for you

Use our free recommendation engine to learn which Data Integration solutions are best for your needs.

See recommendations

848,253 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

25%

Computer Software Company

10%

Manufacturing Company

10%

Insurance Company

Financial Services Firm

26%

Computer Software Company

17%

Retailer

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

Ask a question

Earn 20 points

What needs improvement with Spring Cloud Data Flow?

There were instances of deployment pipelines getting stuck, and the dashboard not always accurately showing the application status, requiring manual intervention such as rerunning applications or r...

See all answers

What is your primary use case for Spring Cloud Data Flow?

We had a project for content management, which involved multiple applications each handling content ingestion, transformation, enrichment, and storage for different customers independently. We want...

See all answers

What advice do you have for others considering Spring Cloud Data Flow?

I would definitely recommend Spring Cloud Data Flow. It requires minimal additional effort or time to understand how it works, and even non-specialists can use it effectively with its friendly docu...

See all answers

Comparisons

Teradata vs SAS Access

Compared 100% of the time

More SAS Access Competitors

Apache Flink vs Spring Cloud Data Flow

Compared 42% of the time

TIBCO BusinessWorks vs Spring Cloud Data Flow

Compared 11% of the time

Google Cloud Dataflow vs Spring Cloud Data Flow

Compared 7% of the time

Apache Spark Streaming vs Spring Cloud Data Flow

Compared 5% of the time

MuleSoft Anypoint Platform vs Spring Cloud Data Flow

Compared 4% of the time

More Spring Cloud Data Flow Competitors

Product Reports

Buyer's Guide

Data Integration

March 2025

Download SAS Access product report

Buyer's Guide

Spring Cloud Data Flow

March 2025

Download Spring Cloud Data Flow product report

Also Known As

SAS/Access

No data available

Overview

SAS/ACCESS is an out-of-the-box solution for integrating SAS and third-party databases. You can read, write and update data regardless of the database or platform. Because the data appears native to SAS, there is no need to learn Structured Query Language (SQL) or any other database-specific query languages.

SAS

Spring Cloud Data Flow is a toolkit for building data integration and real-time data processing pipelines.
Pipelines consist of Spring Boot apps, built using the Spring Cloud Stream or Spring Cloud Task microservice frameworks. This makes Spring Cloud Data Flow suitable for a range of data processing use cases, from import/export to event streaming and predictive analytics. Use Spring Cloud Data Flow to connect your Enterprise to the Internet of Anything—mobile devices, sensors, wearables, automobiles, and more.

VMware

Sample Customers

Los Angeles County, West Midlands Police, Credit Guarantee Corporation, Canada Post, Allianz Global Corporate & Specialty

Information Not Available

Buyer's Guide

SAS Access vs. Spring Cloud Data Flow

April 2025

Free Report: SAS Access vs. Spring Cloud Data Flow

Find out what your peers are saying about SAS Access vs. Spring Cloud Data Flow and other solutions. Updated: April 2025.

DOWNLOAD NOW

848,253 professionals have used our research since 2012.

See our SAS Access vs. Spring Cloud Data Flow report.

See our list of best Data Integration vendors.

We monitor all Data Integration reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.