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SnapLogic vs StreamSets comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 28, 2025

Review summaries and opinions

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

ROI

Sentiment score
8.1
Clients praise SnapLogic for improving efficiency and ROI, simplifying cloud integration, and automating data transfer without coding skills.
Sentiment score
8.1
StreamSets speeds up data processing, boosts efficiency and revenue, simplifies tasks, enhances security, and reduces costs significantly.
SnapLogic is really helpful and processes in very little time, so it doesn't take much time compared to any legacy tool.
Technical Specialist App Development at Birlasoft IndiaLtd.
It is not that fewer employees were needed, but time was definitely saved, and our process was optimized with the help of SnapLogic.
Architect at a transportation company with 1,001-5,000 employees
SnapLogic has helped automate manual data transfers significantly and improved our workflow efficiency, reducing integration development timelines considerably, which reflects a good ROI.
Global Head - DevOps and AIOps Startegist at a manufacturing company with 10,001+ employees
 

Customer Service

Sentiment score
6.9
SnapLogic's customer service receives mixed reviews, with commendations for quick responses and critiques for delays and knowledge gaps.
Sentiment score
6.7
StreamSets support is responsive and knowledgeable, offering effective solutions, though response times and technical handling could improve.
Customer support scales well; as pipeline volume grows, we have been able to add more integrations and users without performance degradation.
Global Head - DevOps and AIOps Startegist at a manufacturing company with 10,001+ employees
Some SMEs are allotted for the organization, so in case of any issue, we have their email IDs to contact them for support, including SMEs and community.
Technical Specialist App Development at Birlasoft IndiaLtd.
The technical support from SnapLogic is excellent, and I would give it a complete ten.
Senior Data Analyst at a pharma/biotech company with 10,001+ employees
IBM technical support sometimes transfers tickets between different teams due to shift changes, which can be frustrating.
Enterprise Solutions Architect at a energy/utilities company with 1,001-5,000 employees
 

Scalability Issues

Sentiment score
7.4
SnapLogic offers easy scalability and elasticity in cloud and on-prem environments, supporting diverse business sizes and user needs.
Sentiment score
7.6
StreamSets is scalable and flexible, favored for cloud use but could improve auto-scaling for large data migrations.
I rate the scalability of SnapLogic as eight out of ten.
Senior Data Analyst at a pharma/biotech company with 10,001+ employees
SnapLogic's scalability is huge.
Architect at a transportation company with 1,001-5,000 employees
 

Stability Issues

Sentiment score
7.4
SnapLogic is stable with high uptime, but faces challenges with large datasets and some prefer competitor support.
Sentiment score
7.8
StreamSets is praised for stability and reliability, despite minor memory issues, with high user ratings and market competitiveness.
I would rate the stability of SnapLogic as nearly ten out of ten.
Senior Data Analyst at a pharma/biotech company with 10,001+ employees
But recently, in a year, I haven't found many performance issues in SnapLogic.
Technical Specialist App Development at Birlasoft IndiaLtd.
 

Room For Improvement

SnapLogic needs improved integrations, processing, transparency, support, AI, and performance for better user experience and large data handling.
StreamSets struggles with integration, real-time processing, clarity in UI, memory issues, security, documentation, and cloud storage performance.
We require a data pipeline that can be read without latency and without any delay.
Architect at a transportation company with 1,001-5,000 employees
They can improve more visuals, with graphical representations, such as how many things can be added, how many users can be added or dropped, and how the back-end nodes can be graphically shown in a better way.
Technical Specialist App Development at Birlasoft IndiaLtd.
If the AI capabilities and integrations were more intuitive and easy to learn for new users, it would be greatly beneficial.
Senior Data Analyst at a pharma/biotech company with 10,001+ employees
It would be beneficial if StreamSets addressed any potential memory leak issues to prevent unnecessary upgrades.
Enterprise Solutions Architect at a energy/utilities company with 1,001-5,000 employees
 

Setup Cost

SnapLogic's pricing, though moderate to high, offers scalability and value for complex integrations with its flexible, usage-based licensing.
StreamSets provides flexible pricing models, with varied user satisfaction, favoring larger enterprises over smaller companies due to cost.
I would say the pricing is on the higher side, but it aligns with the capabilities offered for mid- to large integrations.
Global Head - DevOps and AIOps Startegist at a manufacturing company with 10,001+ employees
There would be only one point of improvement if the price could be lower.
Head of Data Practice at a tech consulting company with 201-500 employees
SnapLogic is positioned at around seven or eight out of ten in terms of pricing.
Senior Data Analyst at a pharma/biotech company with 10,001+ employees
 

Valuable Features

SnapLogic simplifies low-code development with drag-and-drop tools, pre-built snaps, and seamless integration, enhancing efficiency and user experience.
StreamSets offers intuitive interface, extensive connectors, and features accessible to non-technical users for seamless data integration and manipulation.
The drag-and-drop builder and pre-built snaps have helped our team through a very low-code approach, making it easier for us to develop fast pipelines and be more agile compared to the heavier integration platforms we used before.
Global Head - DevOps and AIOps Startegist at a manufacturing company with 10,001+ employees
I also like the whole child-parent pipeline feature; it allows me to break up a process into smaller pieces and then have one big pipeline that controls these smaller pipelines.
Head of Data Practice at a tech consulting company with 201-500 employees
The entire chain and transport management system for sending the whole config from development to quality and from quality to production is really fantastic.
Architect at a transportation company with 1,001-5,000 employees
It allows a hybrid installation approach, rather than being completely cloud-based or on-premises.
Enterprise Solutions Architect at a energy/utilities company with 1,001-5,000 employees
 

Categories and Ranking

SnapLogic
Ranking in Data Integration
25th
Average Rating
7.8
Reviews Sentiment
7.1
Number of Reviews
27
Ranking in other categories
Process Automation (18th), API Management (24th), Cloud Data Integration (13th), Integration Platform as a Service (iPaaS) (13th)
StreamSets
Ranking in Data Integration
21st
Average Rating
8.4
Reviews Sentiment
7.0
Number of Reviews
21
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of February 2026, in the Data Integration category, the mindshare of SnapLogic is 1.1%, down from 1.6% 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 Market Share Distribution
ProductMarket Share (%)
StreamSets1.2%
SnapLogic1.1%
Other97.7%
Data Integration
 

Featured Reviews

reviewer2801493 - PeerSpot reviewer
Architect at a transportation company with 1,001-5,000 employees
Migration projects have accelerated data processing and now require better latency and support
The latency is the biggest issue across iPaaS. That is the important part. I have worked not only with SnapLogic, but also with MuleSoft, Dell Boomi, and Jitterbit. They are all fine, but they have different kinds of functionality. They all have similar kinds of problems in different domains. But as I mentioned, SnapLogic has a little bit of an edge because of its functionality and inbuilt functions for Fintech, as compared to the others. This I can say firmly. They need to assess themselves. In this day and age, as I mentioned earlier, terabytes of data need to be read and then have a quick turnaround for downstream systems, especially for GenAI or any LLMs. Then they can definitely improve themselves because right now, most things, in fact, the GenAI, ChatGPT, Cloud, Anthropic, and so many others, require data quality with perfection and more precision. But for all of that, we require a data pipeline that can be read without latency and without any delay, for any reason. So if they can improvise that over the cloud, that would be really fantastic and a really good achievement for them. Not only for them, but for the customer as well. Then no matter what, people cannot leave SnapLogic. They need to be there with the snaps. I don't know much about that. I haven't referred to the documentation that much. But support is something that is pretty obviously required, rather than just providing videos. Technical support is required. The roadmap also needs to be very clearly mentioned and specified. Be specific in which domain they are going to do what, if they are coming out with that roadmap. Otherwise, overall, if they are going to improve their entire system as I mentioned earlier, for the reusability concept and the data pipeline concept, then they will definitely do some magic in the future. From the HR point of view, or for HR tech, improvement is required. A couple of connectors are not working with all the relevant APIs, and there is always a restriction in terms of fetching the data. So that is why I chose six. From the Fintech point of view, if you are asking on a scale of one to 10, then I would give it an eight out of 10. It is a huge one. There is always a margin for improvement, so that is why I chose eight. If you talk about HR, sales, or any other domain, there is a significant amount of improvement required.
SS
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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Top Industries

By visitors reading reviews
Financial Services Firm
17%
Manufacturing Company
12%
Comms Service Provider
7%
Healthcare Company
7%
Insurance Company
8%
Financial Services Firm
8%
Manufacturing Company
8%
Computer Software Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business11
Midsize Enterprise5
Large Enterprise12
By reviewers
Company SizeCount
Small Business9
Midsize Enterprise2
Large Enterprise11
 

Questions from the Community

What do you like most about SnapLogic?
Despite having no prior experience in SnapLogic, we managed to build, test, and prepare it for release in just three hours, handling heavy data efficiently.
What needs improvement with SnapLogic?
Some advanced features lack detailed documentation, and debugging complex pipelines could be more intuitive. We have faced a few issues with pipeline throttling, but SnapLogic support was responsiv...
What is your primary use case for SnapLogic?
Our main use case for SnapLogic is building integration pipelines across SaaS applications, databases, and internal systems to automate the data flows. A specific example of how we have used SnapLo...
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...
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...
What is your primary use case for StreamSets?
We are using StreamSets for batch loading.
 

Also Known As

DataFlow
No data available
 

Overview

 

Sample Customers

Adobe, ADP, BlackBerry, Bonobos, Box, Capital One, Dannon, Eero, Endo, Gensler, HCL, HP, Grovo, HIS, iRobot, Leica, Merck, Sans, Target, Verizon, Vodafone, Yelp, Yahoo!
Availity, BT Group, Humana, Deluxe, GSK, RingCentral, IBM, Shell, SamTrans, State of Ohio, TalentFulfilled, TechBridge
Find out what your peers are saying about SnapLogic vs. StreamSets and other solutions. Updated: January 2026.
881,707 professionals have used our research since 2012.