AWS Data Pipeline [EOL] vs Stitch comparison

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Amazon Web Services (AWS) and Qlik are both solutions in the Cloud Data Integration category. Additionally, 100% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 92% of Qlik users who would recommend it.

AWS Data Pipeline [EOL]

Read 2 AWS Data Pipeline [EOL] reviews

100% willing to recommend

Stitch

Read 12 Stitch reviews

2,048 Views
1,249 Comparison Views

92% willing to recommend

AWS Data Pipeline [EOL]

Stitch

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Executive SummaryUpdated on Nov 18, 2025

In the data integration solutions category, AWS Data Pipeline [EOL] and Stitch are competitors. Stitch appears to have the upper hand due to its features like flexibility and scalability, which overshadow AWS Data Pipeline's historical strengths and competitive pricing.

Features: AWS Data Pipeline supports automating data workflows and facilitates ETL processes within AWS ecosystems, offering robust control over data flows. Stitch is known for its simplicity and ease of use, allowing wide array integrations and support for various data sources, providing a modern approach for scalability in cloud-based data operations.

Ease of Deployment and Customer Service: Stitch offers a streamlined deployment model focused on quick implementation with an emphasis on cloud efficiency, simplifying maintenance. AWS Data Pipeline requires more configuration and AWS-specific expertise, leading to longer deployment timelines. Post-EOL, AWS Data Pipeline has limited customer service, whereas Stitch provides ongoing support, enhancing its deployment appeal.

Pricing and ROI: AWS Data Pipeline previously attracted attention with its integration within the AWS pricing model, offering potentially lower costs for AWS-heavy operations but presents no forward ROI due to its discontinuation. Stitch has transparent and scalable pricing structures, offering strong ROI potential through adaptability and operational efficiency improvements. These aspects significantly enhance its value proposition compared to AWS Data Pipeline.

To learn more, read our detailed Cloud Data Integration Report (Updated: August 2026).

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Cloud Data Integration

August 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

AWS Data Pipeline [EOL]

Average Rating

8.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Stitch

Average Rating

7.4

Reviews Sentiment

6.0

Number of Reviews

Ranking in other categories

Cloud Data Integration (11th)

Featured Reviews

BarathwajRamamoorthy

Senior Director Data Architecture at Managed Markets Insight & Technology, LLC

A tool with great orchestration and development capabilities but needs to improve its user-defined functions

In the tool, parallel processing is an area that is contingent, in the sense that you have to be watchful for the cap that you have in terms of computing behind AWS Data Pipeline. You need to always watch for some reason. I am capped with 200 nodes, and if I get to use more than 200 nodes, the AWS Data Pipeline will fail. AWS doesn't state that I have almost gone beyond my limits, and it is allowing me now to go beyond the set limits if I talk to a representative and figure it out. Such aforementioned warnings are not let out by AWS, and they end up failing the nodes if I go beyond the set cap limits.

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Jason Hale

Enterprise Architect at Waikato Regional Council

Data team has transformed diverse environmental streams and now delivers real-time insights

The best thing that we've seen coming out of Stitch is the Talend and Qlik relationship becoming more of a single entity rather than two entities. A couple of years ago there was a distinction between Stitch and Qlik. The biggest challenge when we were dealing with both was that we felt like we were dealing with two different companies. They are quickly merging the two different entities into a single one, and by around the end of this year, they're planning to basically consolidate everything. Until then, it does get a little bit complicated when we have Qlik and Stitch components together. It's not quite exactly one solution. That's probably the biggest negative at the moment. Each month we're seeing improvements in the cloud platform, and they're coming out with capabilities that we haven't even thought about that are going to make our lives easier. Probably the biggest negative they have is they're doing so much good stuff, but we don't know about it. It just appears and then we figure it out ourselves, but the communication of changes could be improved. However, the positives are that they're changing so much at the moment.

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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

"It is a stable solution...It is a scalable solution."

"The most valuable feature of the solution is that orchestration and development capabilities are easier with the tool."

"After setting up Stitch, that pipeline maintenance dropped down to practically zero, cutting our data integration and engineering workload by at least eighty to ninety percent and allowing us to get data into our dashboards in real time instead of waiting days for manual updates."

"Previously it took me about a month to a month and a half to have a prototype of roughly five to ten screens, now I can do it in about two to three days."

"Stitch saved a lot of time, gave more options, and made it very quick and easy to build a UI."

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

"Even though you are paying a huge amount, the quality and the time it takes to process big data is definitely lesser."

"We've got a project at the moment that we estimated the integration was going to be around $200,000 to $300,000, and we've been able to achieve the integration for less than a tenth of that, doing it in-house using Stitch."

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

"The best features Stitch offers are that I can copy the designs directly to Figma, which has helped my team and me tremendously because in the beginning we had to design the application from scratch, but now we can get inspirations from Stitch and copy directly from Stitch to shorten our time."

More Stitch pros

Cons

"It's almost semi-automatic because you must review and approve code push, which works well. Still, we had many problems getting there during the deployment process, but we got there."

"The user-defined functions have shortcomings in AWS Data Pipeline."

"I would advise that you should not use Stitch if you are going to build a big number of screens or a heavy UI application with complex designs because it is not ready for that kind of work."

"Stitch can be improved by being able to connect the design system to it, and being able to design any components from that design system would be the best improvement."

"The conversion to Figma is not effective."

"If there is something Stitch can improve, I would say it is the pricing structure."

"The inspiration aspect for creating new screens could also have new versions, because the ones it creates look very generic."

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

"Until then, it does get a little bit complicated when we have Qlik and Stitch components together."

"Stitch should definitely provide more extractors than it does now and provide the ability for teams to integrate their own extractors."

More Stitch cons

Pricing and Cost Advice

"I rate the pricing between six to eight on a scale from one to ten, where one is low price, and ten is high price."

"The way we use it, I think it is fair as we're getting a good value for money compared to having a server or some other data pipeline."

Information not available

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Top Industries

By visitors reading reviews

No data available

Construction Company

18%

Outsourcing Company

11%

Comms Service Provider

Healthcare Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	6
Midsize Enterprise	3
Large Enterprise	5

Questions from the Community

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What needs improvement with Talend Stitch?

If there is something Stitch can improve, I would say it is the pricing structure. It scales based on row count, so if we suddenly have a massive surge in data, our cost can jump up pretty fast. Wh...

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What is your primary use case for Talend Stitch?

My main use case for Stitch is to integrate retail data and connect different sources seamlessly. I mostly use it for moving data into a central warehouse, so I can easily analyze and build visuali...

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What advice do you have for others considering Talend Stitch?

Regarding Stitch's AI capabilities, the governance and security side feels pretty tight. When you are feeding data through AI-driven pipelines, you worry about a lot of things. But Stitch handles d...

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Comparisons

AWS Glue vs AWS Data Pipeline [EOL]

Compared 23% of the time

IBM InfoSphere DataStage vs AWS Data Pipeline [EOL]

Compared 20% of the time

Perspectium DataSync vs AWS Data Pipeline [EOL]

Compared 18% of the time

MuleSoft Composer vs AWS Data Pipeline [EOL]

Compared 16% of the time

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AWS Database Migration Service vs Stitch

Compared 18% of the time

AWS Glue vs Stitch

Compared 13% of the time

Fivetran vs Stitch

Compared 13% of the time

Zapier vs Stitch

Compared 11% of the time

SAS Data Integration Server vs Stitch

Compared 5% of the time

More Stitch Competitors

Product Reports

Buyer's Guide

Cloud Data Integration

August 2026

Download AWS Data Pipeline [EOL] product report

Buyer's Guide

Stitch

August 2026

Download Stitch product report

Also Known As

No data available

Talend Stitch ETL

Overview

AWS Data Pipeline is a web service that helps you reliably process and move data between different AWS compute and storage services, as well as on-premises data sources, at specified intervals. ... AWS Data Pipeline also allows you to move and process data that was previously locked up in on-premises data silos.

Amazon Web Services (AWS)

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

Sample Customers

bp, Cerner, Expedia, Finra, HESS, intuit, Kellog's, Philips, TIME, workday

AB InBev, Accolade, Accor, AstraZeneca, Beachbody

Buyer's Guide

Cloud Data Integration

August 2026

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