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

1,239 Views
681 Comparison Views

100% willing to recommend

StreamSets

Read 21 StreamSets reviews

4,142 Views
3,189 Comparison Views

100% willing to recommend

AWS AppSync

StreamSets

Comparison Buyer's Guide

Download the report

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: August 2026).

Buyer's Guide

Cloud Data Integration

August 2026

Download the complete report

Helped 909,948 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 (25th)

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.

Read full review

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.

Read full review

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."

"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%."

"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."

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

"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 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"

"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."

"What I love the most is that StreamSets is very light. It's a containerized application. It's easy to use with Docker. If you are a large organization, it's very easy to use Kubernetes."

"In StreamSets, everything is in one place."

More StreamSets pros

Cons

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

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

"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."

"StreamSets should provide a mechanism to be able to perform data quality assessment when the data is being moved from one source to the target."

"In terms of the product, I don't think there is any room for improvement because it is very good. One small area of improvement that is very much needed is on the knowledge base side. Sometimes, it is not very clear how to set up a certain process or a certain node for a person who's using the platform for the first time."

"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."

"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."

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

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

"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."

"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."

"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."

"StreamSets is an expensive solution."

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

"I believe the pricing is not equitable."

"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."

More StreamSets pricing and cost advice

See which vendors are best for you

Use our free recommendation engine to learn which Cloud Data Integration solutions are best for your needs.

See recommendations

909,948 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Comms Service Provider

21%

Manufacturing Company

14%

Healthcare Company

12%

Outsourcing Company

Financial Services Firm

12%

Comms Service Provider

Manufacturing Company

Outsourcing 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...

See all answers

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 ...

See all answers

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...

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

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

Zapier vs AWS AppSync

Compared 23% of the time

AWS Glue vs AWS AppSync

Compared 19% of the time

IBM Application Integration Suite vs AWS AppSync

Compared 13% of the time

Workato vs AWS AppSync

Compared 11% of the time

Perspectium DataSync vs AWS AppSync

Compared 11% of the time

More AWS AppSync Competitors

Pentaho Data Integration and Analytics vs StreamSets

Compared 9% 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

Spring Cloud Data Flow vs StreamSets

Compared 5% of the time

More StreamSets Competitors

Product Reports

Buyer's Guide

Cloud Data Integration

August 2026

Download AWS AppSync product report

Buyer's Guide

StreamSets

July 2026

Download StreamSets product report

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

August 2026

Download Free Report

Find out what your peers are saying about Amazon Web Services (AWS), Informatica, Palantir and others in Cloud Data Integration. Updated: August 2026.

DOWNLOAD NOW

909,948 professionals have used our research since 2012.

See our list of best Cloud Data Integration vendors.

We monitor all Cloud Data Integration reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.