SAS Data Integration Server vs StreamSets comparison

SAS and IBM are both solutions in the Data Integration category. SAS is ranked #41 with an average rating of 7.0, while IBM is ranked #22 with an average rating of 9.0. SAS holds a 0.6% mindshare in DI, compared to IBM’s 1.5% 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

842 Views
623 Comparison Views

83% willing to recommend

StreamSets

Read 21 StreamSets reviews

2,599 Views
1,871 Comparison Views

100% willing to recommend

SAS Data Integration Server

StreamSets

Comparison Buyer's Guide

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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: September 2025).

Buyer's Guide

SAS Data Integration Server vs. StreamSets

September 2025

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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

41st

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 October 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 1.5%, down from 1.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration Market Share Distribution
Product	Market Share (%)
StreamSets	1.5%
SAS Data Integration Server	0.6%
Other	97.9%

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.

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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.

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Quotes from Members

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

Pros

"The solution is very stable."

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

"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 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."

"It is really easy to set up and the interface is easy to use."

"I really appreciate the numerous ready connectors available on both the source and target sides, the support for various media file formats, and the ease of configuring and managing pipelines centrally."

"StreamSets’ data drift resilience has reduced the time it takes us to fix data drift breakages. For example, in our previous Hadoop scenario, when we were creating the Sqoop-based processes to move data from source to destinations, we were getting the job done. That took approximately an hour to an hour and a half when we did it with Hadoop. However, with the StreamSets, since it works on a data collector-based mechanism, it completes the same process in 15 minutes of time. Therefore, it has saved us around 45 minutes per data pipeline or table that we migrate. Thus, it reduced the data transfer, including the drift part, by 45 minutes."

"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."

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

More StreamSets pros

Cons

"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."

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

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

"One area for improvement is the installation process."

"They need to improve their customer care services. Sometimes it has taken more than 48 hours to resolve an issue. That should be reduced. They are aware of small or generic issues, but not the more technical or deep issues. For those, they require some time, generally 48 to 72 hours to respond. That should be improved."

"The software is very good overall. Areas for improvement are the error logging and the version history. I would like to see better, more detailed error logging information."

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

"We create pipelines or jobs in StreamSets Control Hub. It is a great feature, but if there is a way to have a folder structure or organize the pipelines and jobs in Control Hub, it would be great. I submitted a ticket for this some time back."

"Visualization and monitoring need to be improved and refined."

"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."

"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."

"We've seen a couple of cases where it appears to have a memory leak or a similar problem."

More StreamSets cons

Pricing and Cost Advice

"It is an expensive program."

"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."

"The overall cost is very flexible so it is not a burden for our organization... However, the cost should be improved. For small and mid-size organizations it might be a challenge."

"There are different versions of the product. One is the corporate license version, and the other one is the open-source or free version. I have been using the corporate license version, but they have recently launched a new open-source version so that anybody can create an account and use it. The licensing cost varies from customer to customer. I don't have a lot of input on that. It is taken care of by PMO, and they seem fine with its pricing model. It is being used enterprise-wide. They seem to have got a good deal for StreamSets."

"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."

"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."

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

"The pricing is affordable for any business."

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

More StreamSets pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

28%

Computer Software Company

Insurance Company

Government

Computer Software Company

10%

Financial Services Firm

Insurance Company

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	9
Midsize Enterprise	2
Large Enterprise	11

Questions from the Community

What needs improvement with SAS Data Integration Server?

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What is your primary use case for SAS Data Integration Server?

I am involved in the ETR job. My role is focused on executing the ETR job.

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What advice do you have for others considering SAS Data Integration Server?

I use it without further details. For example, if I use SAS to connect to a NetEazt database or purchase a shared asset to ODBC, I can connect to any database with ODBC connection support. The over...

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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 35% of the time

Azure Data Factory vs SAS Data Integration Server

Compared 21% of the time

Palantir Foundry vs SAS Data Integration Server

Compared 16% of the time

Oracle Data Integrator (ODI) vs SAS Data Integration Server

Compared 15% of the time

AWS Database Migration Service vs SAS Data Integration Server

Compared 12% of the time

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Informatica PowerCenter vs StreamSets

Compared 11% of the time

webMethods.io vs StreamSets

Compared 8% of the time

IBM InfoSphere DataStage vs StreamSets

Compared 8% of the time

Qlik Replicate vs StreamSets

Compared 7% of the time

Oracle GoldenGate vs StreamSets

Compared 7% of the time

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Product Reports

Buyer's Guide

Data Integration

September 2025

Download SAS Data Integration Server product report

Buyer's Guide

StreamSets

September 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

September 2025

Free Report: SAS Data Integration Server vs. StreamSets

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