AWS AppSync vs StreamSets comparison

Amazon Web Services (AWS) and IBM 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 100% of IBM users who would recommend it.

AWS AppSync

Read 2 AWS AppSync reviews

1,106 Views
608 Comparison Views

100% willing to recommend

StreamSets

Read 21 StreamSets reviews

3,998 Views
3,038 Comparison Views

100% willing to recommend

AWS AppSync

StreamSets

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Executive Summary

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

Find out what your peers are saying about Amazon Web Services (AWS), Informatica, Palantir and others in Cloud Data Integration.

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

Buyer's Guide

Cloud Data Integration

June 2026

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Helped 902,988 peers since 2012

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 AppSync

Average Rating

8.0

Reviews Sentiment

6.6

Number of Reviews

Ranking in other categories

Cloud Data Integration (23rd)

StreamSets

Average Rating

8.4

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Data Integration (24th)

Featured Reviews

Akil Saji

AWS Cloud Developer at Mobil80 Solutions and Services Pvt. Ltd.

Ease of creating APIs with ongoing updates needed for automation

AWS has made it easy for developers like me to create and manage GraphQL APIs. The ease of use is a main advantage, allowing even beginners to start from scratch and learn through AppSync. Before AWS, developing and managing APIs was quite complex. AWS provided AppSync, which assists developers and startup founders. Startups blooming everywhere benefit from this service, welcoming those who lack prior knowledge. When working on AWS, I notice that Amazon regularly implements new features. For instance, with the Lambda service, AWS is transitioning from an old editor to a new one. Similarly, AppSync frequently introduces updates and changes. This trend is making the user interface more accessible, even for individuals without a technical background. Additionally, the cost is attractive, as AWS operates on a pay-as-you-go basis. These factors make AppSync both easy to use and cost-effective.

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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

"Support for multiple data sources and formats is a fantastic feature."

"AWS has made it easy for developers like me to create and manage GraphQL APIs."

"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 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."

"StreamSets has definitely helped us in getting the information into our data lake very quickly, in terms of ingestion, and the most important thing is it has helped us from a resourcing point of view because you can easily upskill a BI or ETL resource without any programming knowledge to work with this, which has drastically reduced the time that we are spending on workloads by 60% to 70% as well as reducing the time spent on ingestion by 30%."

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

"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."

"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."

"The most valuable feature is the pipelines because they enable us to pull in and push out data from different sources and to manipulate and clean things up within them."

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

More StreamSets pros

Cons

"In AppSync, assigning roles and permissions to APIs is necessary for accessing other AWS services. Automating this task when creating APIs would be beneficial."

"Moving to other clouds is impossible without significantly rearchitecting your applications."

"We often faced problems, especially with SAP ERP. We struggled because many columns weren't integers or primary keys, which StreamSets couldn't handle. We had to restructure our data tables, which was painful. Also, pipeline failures were common, and data drifting wasn't addressed, which made things worse. Licensing was another issue we encountered."

"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."

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

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

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

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

"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 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."

More StreamSets cons

Pricing and Cost Advice

"Licensing fees are paid on a monthly basis, and it is a pay-as-you-go model."

"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."

"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 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."

"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's not so favorable for small companies."

"StreamSets is an expensive solution."

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

"I believe the pricing is not equitable."

More StreamSets pricing and cost advice

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Top Industries

By visitors reading reviews

Comms Service Provider

19%

Manufacturing Company

14%

Healthcare Company

12%

Outsourcing Company

Financial Services Firm

12%

Manufacturing Company

Insurance 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 is your experience regarding pricing and costs for AWS AppSync?

My experience with pricing, setup cost, and licensing was good and easy. About the pricing and setup cost, there is no major setup cost required for AWS AppSync, which is a really great thing becau...

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What needs improvement with AWS AppSync?

The current features of AWS AppSync are enough for any developer, but it has some areas for improvement. AWS AppSync can provide first-class support for SQL RDS since writing SQL via VTL is clunky ...

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What is your primary use case for AWS AppSync?

My main use case for AWS AppSync is to deploy the application by connecting my frontend and backend application. AWS AppSync serves as a GraphQL API Gateway that sits between my frontend and backen...

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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

What advice do you have for others considering StreamSets?

If asked, I definitely recommend StreamSets to other users. My overall rating for the solution is nine.

See all answers

Comparisons

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Compared 21% of the time

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Compared 14% of the time

Perspectium DataSync vs AWS AppSync

Compared 14% of the time

IBM Application Integration Suite vs AWS AppSync

Compared 14% of the time

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Pentaho Data Integration and Analytics vs StreamSets

Compared 8% of the time

Informatica PowerCenter vs StreamSets

Compared 6% of the time

SSIS vs StreamSets

Compared 5% of the time

Confluent vs StreamSets

Compared 5% of the time

Oracle Data Integrator (ODI) vs StreamSets

Compared 5% of the time

More StreamSets Competitors

Product Reports

Buyer's Guide

Cloud Data Integration

June 2026

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Buyer's Guide

StreamSets

June 2026

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Also Known As

AppSync

No data available

Overview

AWS AppSync is a managed service that simplifies application development by providing real-time data synchronization and offline capabilities. It's ideal for building scalable applications with GraphQL APIs, unlocking seamless communication between the cloud and client apps.

AWS AppSync offers a robust platform for developers looking to craft apps that require real-time updates and efficient data management. By integrating GraphQL API creation, it allows applications to fetch only necessary data, optimizing both performance and user experience. With its serverless architecture, developers can focus on building core functionalities without worrying about infrastructure or scalability. This streamlines the development process, making AWS AppSync an excellent choice for modern applications.

What are the essential features of AWS AppSync?

Real-time Data Sync: Enables real-time data updates, ensuring data consistency across all devices.
GraphQL API: Simplifies data querying by allowing clients to request only the needed data, optimizing application performance.
Offline Support: Provides offline access and data synchronization, catering to users with intermittent connectivity.
Scalability: Automatically scales the infrastructure to accommodate varying loads, relieving developers of manual scaling tasks.
Security: Includes built-in authentication and authorization mechanisms using AWS Cognito and other providers.

What benefits and ROI should users expect from AWS AppSync?

Cost Efficiency: Reduces infrastructure management costs through its serverless model, allowing pay-as-you-go pricing
Improved Performance: Enhances application responsiveness with efficient data querying and real-time capabilities
Developer Productivity: Boosts productivity by letting developers focus on business logic instead of infrastructure maintenance
Enhanced User Experience: Provides users with seamless app interactions, even during offline periods

In industries like e-commerce and healthcare, AWS AppSync implementation enhances features such as inventory tracking and patient data management. By facilitating real-time updates and secure data transactions, AppSync empowers businesses to deliver reliable, customer-centric experiences tailored to industry demands.

Amazon Web Services (AWS)

StreamSets streamlines data pipeline creation, connecting data from multiple sources to destinations like cloud platforms with minimal coding. Its centralized platform and intuitive design enhance ETL and data migration processes.

StreamSets integrates seamlessly with analytics platforms, offering tools such as Data Collector and Control Hub to facilitate data ingestion, transformation, and machine learning integrations. Its user-friendly interface and ready connectors aid in configuring complex data pipelines. With built-in data drift resilience and scheduling options, users experience efficient, scalable data management, despite challenges like latency in cloud storage and interface enhancement needs. Users often employ StreamSets for batch loading, real-time data processing, and smart data pipeline management, offering comprehensive data integration solutions.

What are the key features of StreamSets?

Data Collector: Enables streamlined data collection and processing.
Control Hub: Centralizes management of data pipelines.
Minimal Coding: Simplifies pipeline configuration with limited code requirement.
Data Drift Resilience: Adapts to changes in data patterns effectively.

What benefits should users look for?

Time-Saving: Efficient processes reduce manual effort.
Scalability: Easily manages large datasets.
Integration: Connects with leading analytics and cloud platforms.
Real-Time Processing: Supports continuous data delivery for timely insights.

In industries like finance and technology, StreamSets supports data migration, machine learning integrations, and analytics by simplifying data transformation and enhancing decision-making capabilities through its robust pipeline management.

IBM

Sample Customers

ACBL, Puresec, IDT, ASU, Public Good, cookpad, ALDO, ticketmaster

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

Buyer's Guide

Cloud Data Integration

June 2026

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