Stitch vs StreamSets comparison

Qlik and IBM are both solutions in the Cloud Data Integration category. Additionally, 100% of Qlik users are willing to recommend the solution, compared to 100% of IBM users who would recommend it.

Stitch

Read 5 Stitch reviews

506 Views
268 Comparison Views

100% willing to recommend

StreamSets

Read 21 StreamSets reviews

2,665 Views
1,919 Comparison Views

100% willing to recommend

Stitch

StreamSets

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Executive Summary

We performed a comparison between Stitch and StreamSets based on real PeerSpot user reviews.

Find out in this report how the two Cloud Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed Stitch vs. StreamSets Report (Updated: December 2025).

Buyer's Guide

Stitch vs. StreamSets

December 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

Stitch

Average Rating

6.8

Reviews Sentiment

5.5

Number of Reviews

Ranking in other categories

Cloud Data Integration (25th)

StreamSets

Average Rating

8.4

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Data Integration (22nd)

Featured Reviews

reviewer2783532

Cloud Data Architect at a comms service provider with 10,001+ employees

Improved data management has reduced errors while consistent loads have saved weekly effort

I think the best feature Stitch offers is that it handles deleted records. Stitch's ability to handle deleted records is a standout feature for me because if a record is deleted at the source, I can easily track it with soft delete and all that functionality. Stitch has impacted my organization positively, as I have both positive and negative aspects with it. One positive aspect is that full loads are free, so whenever I see data issues, I can go for full loads. At the same time, I need to look at the limitations, such as API limits. Stitch has helped my organization achieve better data management, making it easier. Better data management means that Stitch helps my team access data faster and reduces errors.

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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

"Stitch has positively impacted my organization by allowing us to create MVPs quickly."

"Stitch helps immensely because in just a day, we are able to cover the work that would normally take two to three weeks worth of design work nonstop."

"Stitch has helped my organization achieve better data management, making it easier, as it helps my team access data faster and reduces errors."

"The setup process for Stitch was pretty easy, with a plug and play approach where the data is immediately available."

"The most valuable feature of Stitch for us is ease of use. This solution is fire-and-forget. All an organization has to do is set up the connection or integration and move on."

"The Ease of configuration for pipes is amazing. It has a lot of connectors. Mainly, we can do everything with the data in the pipe. I really like the graphical interface too"

"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."

"In StreamSets, everything is in one place."

"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."

"The scheduling within the data engineering pipeline is very much appreciated, and it has a wide range of connectors for connecting to any data sources like SQL Server, AWS, Azure, etc. We have used it with Kafka, Hadoop, and Azure Data Factory Datasets. Connecting to these systems with StreamSets is very easy."

"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."

"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."

More StreamSets pros

Cons

"The customer support of Stitch is horrible."

"The designs that Stitch produces sometimes cannot really be used for final launch, but I understand Stitch was designed just for rapid prototyping and for teams to get from the point where they just have an idea to having an actual product."

"The conversion to Figma is not effective."

"Generally speaking, support is a pain point. In the next release, I would love to see a change in support from the current chat to a more comprehensive portal."

"My experience with customer support for Stitch has been very bad."

"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."

"One thing that I would like to add is the ability to manually enter data. The way the solution currently works is we don't have the option to manually change the data at any point in time. Being able to do that will allow us to do everything that we want to do with our data. Sometimes, we need to manually manipulate the data to make it more accurate in case our prior bifurcation filters are not good. If we have the option to manually enter the data or make the exact iterations on the data set, that would be a good thing."

"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."

"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."

"The documentation is inadequate and has room for improvement because the technical support does not regularly update their documentation or the knowledge base."

"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."

"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."

"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."

More StreamSets cons

Pricing and Cost Advice

Information not available

"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."

"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."

"The pricing is affordable for any business."

"StreamSets is an expensive solution."

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

"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."

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

More StreamSets pricing and cost advice

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Top Industries

By visitors reading reviews

No data available

Insurance Company

Financial Services Firm

Manufacturing Company

Computer Software 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 Talend Stitch?

I wish Stitch could handle changes and updates to data better. I think improvement is needed in the licensing process.

See all answers

What is your primary use case for Talend Stitch?

I have been using Stitch for the last five years. My main use case for Stitch is to ingest SFDC data and also Google Analytics, Facebook Ads, and GA4. I use Stitch as a data ingestion tool for SFDC...

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What advice do you have for others considering Talend Stitch?

I do not want to add more about the features of Stitch. I do not have any other improvements needed for Stitch that I have not mentioned yet. My advice to others looking into using Stitch is to con...

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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...

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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

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Compared 6% of the time

Oracle GoldenGate vs StreamSets

Compared 6% of the time

Matillion Data Productivity Cloud vs StreamSets

Compared 5% of the time

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Product Reports

Buyer's Guide

Stitch

January 2026

Download Stitch product report

Buyer's Guide

StreamSets

January 2026

Download StreamSets product report

Also Known As

Talend Stitch ETL

No data available

Overview

Stitch is a cloud-based ETL service designed to synchronize data between a variety of sources and destinations, offering robust and scalable data integration capabilities.

Stitch facilitates seamless data integration, providing users with real-time data movement across their tech stack. Its flexible architecture allows easy connectivity between diverse systems and ensures data consistency. With its user-friendly setup, Stitch empowers data teams to efficiently manage complex data workflows, enhancing decision-making and operational efficiency.

What are Stitch's most important features?

Data Extraction: Efficiently extracts data from numerous sources, ensuring smooth data flow across platforms.
Real-Time Data Sync: Offers synchronized data transfer to maintain up-to-date datasets.
Scalability: Supports growing data needs with scalable architecture.
Secure Data Transfer: Implements security practices ensuring data integrity during transfers.
API Access: Provides API connectivity for robust data pipeline customization.

What benefits and ROI should users look for when evaluating Stitch?

Improved Decision-Making: Enables timely and informed business decisions with real-time data accessibility.
Cost Efficiency: Reduces expenses associated with manual data integration processes.
Increased Productivity: Frees up IT resources by automating data movement, allowing teams to focus on strategic tasks.
Enhanced Data Accuracy: Minimizes errors through automated and consistent data integration processes.

In industries like e-commerce and finance, Stitch is instrumental in integrating data from sales platforms and financial systems to analytics tools. Retailers can combine online and offline sales data, while financial firms streamline data into centralized repositories, ensuring comprehensive analysis and reporting.

Qlik

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

AB InBev, Accolade, Accor, AstraZeneca, Beachbody

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

Buyer's Guide

Stitch vs. StreamSets

December 2025

Free Report: Stitch vs. StreamSets

Find out what your peers are saying about Stitch vs. StreamSets and other solutions. Updated: December 2025.

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