SAS Data Integration Server vs StreamSets comparison

SAS and IBM are both solutions in the Data Integration category. SAS is ranked #37 with an average rating of 7.5, while IBM is ranked #22 with an average rating of 9.0. SAS holds a 0.6% mindshare in DI, compared to IBM’s 1.6% mindshare. Additionally, 83% of SAS users are willing to recommend the solution, compared to 100% of IBM users who would recommend it.

SAS Data Integration Server

Read 4 SAS Data Integration Server reviews

773 Views
564 Comparison Views

83% willing to recommend

StreamSets

Read 21 StreamSets reviews

2,763 Views
1,989 Comparison Views

100% willing to recommend

SAS Data Integration Server

StreamSets

Comparison Buyer's Guide

Download the report

Executive SummaryUpdated on Dec 19, 2024

SAS Data Integration Server and StreamSets are competitors in the data integration domain. Users indicate higher satisfaction with StreamSets due to its adaptability and advanced data processing capabilities, giving it an edge over SAS's more traditional approach.

Features: SAS Data Integration Server offers robust ETL capabilities, integration with other SAS products, and provides a comprehensive suite for data management. StreamSets features real-time data pipeline architecture, an intuitive design, and simplifies complex data flows.

Ease of Deployment and Customer Service: SAS Data Integration Server has a well-documented but complex setup process that can be time-consuming, while StreamSets is known for straightforward deployment and proactive customer support, leading to faster implementation and troubleshooting.

Pricing and ROI: SAS Data Integration Server may involve significant costs due to its licensing model and initial implementation expenses, yet offers ROI through integration in SAS environments. StreamSets provides a cost-effective initial setup with scalable pricing, potentially leading to higher ROI for those prioritizing real-time data processing.

To learn more, read our detailed SAS Data Integration Server vs. StreamSets Report (Updated: August 2025).

Buyer's Guide

SAS Data Integration Server vs. StreamSets

August 2025

Download the complete report

Helped 865,384 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 Data Integration Server

Ranking in Data Integration

37th

Average Rating

7.2

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

No ranking in other categories

StreamSets

Ranking in Data Integration

22nd

Average Rating

8.4

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of August 2025, in the Data Integration category, the mindshare of SAS Data Integration Server is 0.6%, up from 0.5% compared to the previous year. The mindshare of StreamSets is 1.6%, up from 1.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration

Featured Reviews

reviewer2937544

Works at a financial services firm with 5,001-10,000 employees

Offloads processes on the server side but needs better installation syntax

One area for improvement is the installation process. Another point could be the syntax, as it sometimes involves using syntax names that are not intuitive. For example, to calculate the difference between two dates, the general syntax in SAS is called the data difference or data net function. However, another name is used, such as NF and INK. Without knowledge of SAS programming, it becomes unclear what these functions mean. It is not good to define function names this way.

Read full review

Ved Prakash Yadav

Senior Data Platform Manager at a manufacturing company with 10,001+ employees

Useful for data transformation and helps with column encryption

We use various tools and alerting systems to notify us of pipeline errors or failures. StreamSets supports data governance and compliance by allowing us to encrypt incoming data based on specified rules. We can easily encrypt columns by providing the column name and hash key. If you're considering using StreamSets for the first time, I would advise first understanding why you want to use it and how it will benefit you. If you're dealing with change tracking or handling large amounts of data, it could be cost-effective compared to services like Amazon. It's easy to schedule and manage tasks with the tool, and you can enhance your skills as an ETL developer. You can easily migrate traditional pipelines built on platforms like Informatica or Talend to StreamSets. I rate the overall solution an eight out of ten.

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 feature of the solution is its amazing capabilities in regard to data handling."

"A key feature allows us to enhance job performance by offloading processing to the server side, rather than processing on the server itself."

"The solution is very stable."

"The solution offers very good data manipulation and loading."

"A key feature allows us to enhance job performance by offloading processing to the server side, rather than processing on the server itself."

"Also, the intuitive canvas for designing all the streams in the pipeline, along with the simplicity of the entire product are very big pluses for me. The software is very simple and straightforward. That is something that is needed right now."

"The ability to have a good bifurcation rate and fewer mistakes is valuable."

"The best feature that I really like is the integration."

"The ETL capabilities are very useful for us. We extract and transform data from multiple data sources, into a single, consistent data store, and then we put it in our systems. We typically use it to connect our Apache Kafka with data lakes. That process is smooth and saves us a lot of time in our production systems."

"The best thing about StreamSets is its plugins, which are very useful and work well with almost every data source. It's also easy to use, especially if you're comfortable with SQL. You can customize it to do what you need. Many other tools have started to use features similar to those introduced by StreamSets, like automated workflows that are easy to set up."

"The most valuable features are the option of integration with a variety of protocols, languages, and origins."

"In StreamSets, everything is in one place."

"StreamSets Transformer is a good feature because it helps you when you are developing applications and when you don't want to write a lot of code. That is the best feature overall."

More StreamSets pros

Cons

"The initial setup had issues, and even after using it for about one year, it was still not fixed."

"The transform tool has limited access. They should make it more flexible."

"The initial setup of SAS Data Integration Server was complex."

"The initial setup had issues, and even after using it for about one year, it was still not fixed."

"One area for improvement is the installation process."

"So I would like to see improved integration with other software."

"Currently, we can only use the query to read data from SAP HANA. What we would like to see, as soon as possible, is the ability to read from multiple tables from SAP HANA. That would be a really good thing that we could use immediately. For example, if you have 100 tables in SQL Server or Oracle, then you could just point it to the schema or the 100 tables and ingestion information. However, you can't do that in SAP HANA since StreamSets currently is lacking in this. They do not have a multi-table feature for SAP HANA. Therefore, a multi-table origin for SAP HANA would be helpful."

"The monitoring visualization is not that user-friendly. It should include other features to visualize things, like how many records were streamed from a source to a destination on a particular date."

"If you use JDBC Lookup, for example, it generally takes a long time to process data."

"StreamSets should provide a mechanism to be able to perform data quality assessment when the data is being moved from one source to the target."

"There aren't enough hands-on labs, and debugging is also an issue because it takes a lot of time. Logs are not that clear when you are debugging, and you can only select a single source for a pipeline."

"The execution engine could be improved. When I was at their session, they were using some obscure platform to run. There is a controller, which controls what happens on that, but you should be able to easily do this at any of the cloud services, such as Google Cloud. You shouldn't have any issues in terms of how to run it with their online development platform or design platform, basically their execution engine. There are issues with that."

"I would like to see it integrate with other kinds of platforms, other than Java. We're going to have a lot of applications using .NET and other languages or frameworks. StreamSets is very helpful for the old Java platform but it's hard to integrate with the other platforms and frameworks."

"In terms of the product, I don't think there is any room for improvement because it is very good. One small area of improvement that is very much needed is on the knowledge base side. Sometimes, it is not very clear how to set up a certain process or a certain node for a person who's using the platform for the first time."

More StreamSets cons

Pricing and Cost Advice

"It is an expensive program."

"We are running the community version right now, which can be used free of charge."

"It's not so favorable for small companies."

"There are two editions, Professional and Enterprise, and there is a free trial. We're using the Professional edition and it is competitively priced."

"The pricing is affordable for any business."

"We use the free version. It's great for a public, free release. Our stance is that the paid support model is too expensive to get into. They should honestly reevaluate that."

"The pricing is too fixed. It should be based on how much data you need to process. Some businesses are not so big that they process a lot of data."

"Its pricing is pretty much up to the mark. For smaller enterprises, it could be a big price to pay at the initial stage of operations, but the moment you have the Seed B or Seed C funding and you want to scale up your operations and aren't much worried about the funds, at that point in time, you would need a solution that could be scaled."

"The licensing is expensive, and there are other costs involved too. I know from using the software that you have to buy new features whenever there are new updates, which I don't really like. But initially, it was very good."

More StreamSets pricing and cost advice

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

865,384 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

27%

Computer Software Company

Government

Insurance Company

Manufacturing Company

10%

Computer Software Company

10%

Financial Services Firm

10%

Insurance Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

What do you like most about SAS Data Integration Server?

The most valuable feature of the solution is its amazing capabilities in regard to data handling.

See all answers

What is your experience regarding pricing and costs for SAS Data Integration Server?

I don't handle the cost and budget part. From the tool's perspective, I can say that it is an amazing product.

See all answers

What needs improvement with SAS Data Integration Server?

See all answers

What do you like most about StreamSets?

The best thing about StreamSets is its plugins, which are very useful and work well with almost every data source. It's also easy to use, especially if you're comfortable with SQL. You can customiz...

See all answers

What needs improvement with StreamSets?

One issue I observed with StreamSets is that the memory runs out quickly when processing large volumes of data. Because of this memory issue, we have to upgrade our EC2 boxes in the Amazon AWS infr...

See all answers

What is your primary use case for StreamSets?

We are using StreamSets for batch loading.

See all answers

Comparisons

SSIS vs SAS Data Integration Server

Compared 33% of the time

Azure Data Factory vs SAS Data Integration Server

Compared 22% of the time

Palantir Foundry vs SAS Data Integration Server

Compared 17% of the time

Oracle Data Integrator (ODI) vs SAS Data Integration Server

Compared 15% of the time

AWS Glue vs SAS Data Integration Server

Compared 13% of the time

More SAS Data Integration Server Competitors

Informatica PowerCenter vs StreamSets

Compared 13% of the time

IBM InfoSphere DataStage vs StreamSets

Compared 12% of the time

webMethods.io vs StreamSets

Compared 9% of the time

Azure Data Factory vs StreamSets

Compared 7% of the time

Fivetran vs StreamSets

Compared 6% of the time

More StreamSets Competitors

Product Reports

Buyer's Guide

Data Integration

August 2025

Download SAS Data Integration Server product report

Buyer's Guide

StreamSets

July 2025

Download StreamSets product report

Also Known As

SAS Enterprise Data Integration Server, Enterprise Data Integration Server

No data available

Overview

SAS Data Integration Server is a powerful, configurable and comprehensive solution that can meet a wide variety of data integration requirements, from small tactical projects to strategic business initiatives. It can access virtually all data sources, support data warehousing, migration, synchronization, federation and provisioning initiatives. It can support both batch-oriented and real-time master data management solutions. It can create reusable data integration services in support of service-oriented architectures and data governance and extract, cleanse, transform, conform, aggregate, load and manage data.

SAS

StreamSets is a data integration platform that enables organizations to efficiently move and process data across various systems. It offers a user-friendly interface for designing, deploying, and managing data pipelines, allowing users to easily connect to various data sources and destinations. StreamSets also provides real-time monitoring and alerting capabilities, ensuring that data is flowing smoothly and any issues are quickly addressed.

IBM

Sample Customers

Credit Guarantee Corporation, Cr_dito y Cauci‹n, Delaware State Police, Deutsche Lufthansa, Directorate of Economics and Statistics, DSM, Livzon Pharmaceutical Group, Los Angeles County, Miami Herald Media Company, Netherlands Enterprise Agency, New Zealand Ministry of Health, Nippon Paper, West Midlands Police, XS Inc., Zenith Insurance

Availity, BT Group, Humana, Deluxe, GSK, RingCentral, IBM, Shell, SamTrans, State of Ohio, TalentFulfilled, TechBridge

Buyer's Guide

SAS Data Integration Server vs. StreamSets

August 2025

Free Report: SAS Data Integration Server vs. StreamSets

Find out what your peers are saying about SAS Data Integration Server vs. StreamSets and other solutions. Updated: August 2025.

DOWNLOAD NOW

865,384 professionals have used our research since 2012.

See our SAS Data Integration Server vs. StreamSets 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.