SAS Data Integration Server vs StreamSets comparison

SAS and IBM are both solutions in the Data Integration category. SAS is ranked #40 with an average rating of 7.0, while IBM is ranked #25 with an average rating of 9.0. SAS holds a 0.8% mindshare in DI, compared to IBM’s 1.2% 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

1,338 Views
1,030 Comparison Views

83% willing to recommend

StreamSets

Read 21 StreamSets reviews

2,948 Views
2,152 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: March 2026).

Buyer's Guide

SAS Data Integration Server vs. StreamSets

March 2026

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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

40th

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

25th

Average Rating

8.4

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of March 2026, in the Data Integration category, the mindshare of SAS Data Integration Server is 0.8%, up from 0.5% compared to the previous year. The mindshare of StreamSets is 1.2%, down from 1.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration Mindshare Distribution
Product	Mindshare (%)
StreamSets	1.2%
SAS Data Integration Server	0.8%
Other	98.0%

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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SrinivasanSankar

Enterprise Solutions Architect at a energy/utilities company with 1,001-5,000 employees

Enables effective batch loading with visual interface and enterprise support

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 infrastructure. I had to switch to a new EC2 box, even though the processor was not fully utilized. It would be beneficial if StreamSets addressed any potential memory leak issues to prevent unnecessary upgrades. Additionally, it would be a great enhancement if StreamSets could produce a lineage graph to visualize how the data has passed through the system.

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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

"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."

"The solution is very stable."

"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."

"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."

"It has helped us in moving into the data analytics world at a faster pace than any other tool would have done."

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

"The entire user interface is very simple and the simplicity of creating pipelines is something that I like very much about it. The design experience is very smooth."

"This product was a lot easier to use than the one we had before it, and it took us half an hour and we were set up and running it the first time."

"StreamSets data drift feature gives us an alert upfront so we know that the data can be ingested. Whatever the schema or data type changes, it lands automatically into the data lake without any intervention from us, but then that information is crucial to fix for downstream pipelines, which process the data into models, like Tableau and Power BI models. This is actually very useful for us. We are already seeing benefits. Our pipelines used to break when there were data drift changes, then we needed to spend about a week fixing it. Right now, we are saving one to two weeks. Though, it depends on the complexity of the pipeline, we are definitely seeing a lot of time being saved."

"In StreamSets, everything is in one place."

"One of the things I like is the data pipelines. They have a very good design. Implementing pipelines is very straightforward. It doesn't require any technical skill."

More StreamSets pros

Cons

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

"Something that could improve is writing SQL to integration studio because it is not that straightforward. There should be better integration with other software."

"One area for improvement is the installation process."

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

"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."

"The design experience is the bane of our existence because their documentation is not the best. Even when they update their software, they don't publish the best information on how to update and change your pipeline configuration to make it conform to current best practices. We don't pay for the added support. We use the "freeware version." The user community, as well as the documentation they provide for the standard user, are difficult, at best."

"There are a few things that can be better."

"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."

"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."

"Sometimes, it is not clear at first how to set up nodes. A site with an explanation of how each node works would be very helpful."

"StreamSet works great for batch processing but we are looking for something that is more real-time. We need latency in numbers below milliseconds."

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

"If the data processing in StreamSets takes a long time as compared to the previous solution, then we will reconsider why we use StreamSets."

More StreamSets cons

Pricing and Cost Advice

"It is an expensive program."

"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 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."

"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."

"StreamSets is an expensive solution."

"StreamSets Data Collector is open source. One can utilize the StreamSets Data Collector, but the Control Hub is the main repository where all the jobs are present. Everything happens in Control Hub."

"It has a CPU core-based licensing, which works for us and is quite good."

"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."

"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."

More StreamSets pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

24%

Construction Company

Computer Software Company

Healthcare Company

Financial Services Firm

Manufacturing Company

Insurance Company

Real Estate/Law Firm

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?

See all answers

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.

See all answers

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?

See all answers

What is your primary use case for StreamSets?

We are using StreamSets for batch loading.

See all answers

Comparisons

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Compared 9% of the time

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Compared 4% of the time

Axway AMPLIFY Application Integration vs SAS Data Integration Server

Compared 4% of the time

dbt vs SAS Data Integration Server

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Compared 6% of the time

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Informatica PowerCenter vs StreamSets

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Compared 5% of the time

webMethods.io vs StreamSets

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Product Reports

Buyer's Guide

Data Integration

March 2026

Download SAS Data Integration Server product report

Buyer's Guide

StreamSets

March 2026

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

March 2026

Free Report: SAS Data Integration Server vs. StreamSets

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