Sold by: IBM SoftwareÂ
Deployed on AWS
IBM StreamSets on AWS enables end-to-end data integration, allowing users to build, run, monitor, and manage smart data pipelines with enterprise-grade reliability for hybrid and multi-cloud environments.
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Overview
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Build scalable, real-time data pipelines with IBM StreamSets on AWS. IBM StreamSets enables seamless data movement across hybrid and multi-cloud environments, integrating with key AWS services to ensure continuous, high-quality data delivery. Automate data integration with scheduled jobs, adapt to evolving sources, and power your enterprise with intelligent, resilient data pipelines built for speed and scale.
Secure your data with enterprise grade protection through control/data plane separation, role based access, and governance compliance
Maintain pipeline integrity and continuity with resilient pipelines that adapt to evolving environments by automatically handling data drift for scaling real time ingestion.
Centralize operations in StreamSets Control Hub to build, run, monitor and manage all your pipelines while minimizing operational overhead and promoting extended team collaboration.
Highlights
- IBM StreamSets enables seamless data ingestion from diverse sources including Kafka, HDFS, databases, files, applications and more into Azure Storage, Azure Event Hub, Azure Synapse and more. It helps enterprises migrate & modernize data platforms to power ML use cases and build cloud-ready applications.
- Reduce breakages by 80% with smart streaming data pipelines that are resilient to change. Eliminate blind spots and control gaps with a single pane of glass for managing and monitoring all pipelines across hybrid and cloud architectures.
- StreamSets powers millions of pipelines from the most trusted global names in healthcare, financial services, and technology. The platform design offers new levels of enterprise visibility across the full lifecycle of data integration.
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Pricing is based on the duration and terms of your contract with the vendor, and additional usage. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/12 months |
|---|---|---|
IBM StreamSets, 1 VPC | IBM StreamSets, 1 VPC | $12,600.00 |
Dimension | Cost/unit |
|---|---|
IBM StreamSets overage | $1,160.00 |
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Connect with experts and peers to elevate technical expertise, solve problems and share insights about Data Integration: https://community.ibm.com/community/user/dataops/communities/community-home?CommunityKey=3bfc9f2f-4a5e-470a-9295-4b7cc90c9518Â
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Customer reviews
Konjengbam M.
Excellent Data Integration and Productivity, But Pricey and Requires Training
Reviewed on Oct 26, 2025
Review provided by G2
What do you like best about the product?
I love this platform for its data integration capabilities. It reduces efforts so much and increases productivity. Its faster development is really useful for users. The availability of ready made connectors makes work really easier and faster. This platform makes the team co ordinate as well as work faster with better efficiency and effectiveness.
What do you dislike about the product?
I love most parts of this platform but i just wish that price was a little bit low. To be an expert in using this platform, a person will need training and sufficient time to learn before reaching the peak potential.
What problems is the product solving and how is that benefiting you?
It improves productivity and efficiency with its organized tools and dashboards to monitor the pipelines effectively.
Dharmendra M.
IBM Steamset review by me
Reviewed on Sep 15, 2025
Review provided by G2
What do you like best about the product?
user-friendly, visual, low-code/no-code interface that simplifies data pipeline creation with a drag-and-drop approach
What do you dislike about the product?
i couldnt think any reason to dislike it
What problems is the product solving and how is that benefiting you?
IBM StreamSets helps solve the problem of moving and handling large amounts of data quickly and easily, without lots of manual work or complicated coding—making it simple to connect different systems and get real-time information when it’s needed most. This means data is always fresh and useful, which leads to better decisions, smoother operations, and less stress about outdated or messy data
Mohammad K.
IBM StreamSets
Reviewed on Sep 12, 2025
Review provided by G2
What do you like best about the product?
Service that has been provided by IBM are very reliable
What do you dislike about the product?
The ui quality is not satisfactory thing in the whole process
What problems is the product solving and how is that benefiting you?
It helped me solve the migration scenarios to the best
Rohan B.
The overall experience is good but still it need some improvements.
Reviewed on Sep 11, 2025
Review provided by G2
What do you like best about the product?
Costumer support and their regular follow up system on users.
What do you dislike about the product?
The promotion emails and updates for the category which are not belongs to.
What problems is the product solving and how is that benefiting you?
I personally think that Streamsets can add more shortcuts keys on thw website.
Ayon S.
IBM StreamSets review: Powers and pitfalls of the streaming beast.
Reviewed on Sep 11, 2025
Review provided by G2
What do you like best about the product?
It excels at simplifying complex data integration workflows.
It's visual pipeline design makes it's intutive so that anyone can build ,deploy and test in most of the cases.
It supports wide range of connectors for real time data and batch processing .
Most effective feature of it is that it has built in data observation ability and lineage tracking.
This feature gives confidence to the team for their data pipeline reliability and compliance reporting .
This also handels high loads and made for high scalabilty & high throughput.
It's visual pipeline design makes it's intutive so that anyone can build ,deploy and test in most of the cases.
It supports wide range of connectors for real time data and batch processing .
Most effective feature of it is that it has built in data observation ability and lineage tracking.
This feature gives confidence to the team for their data pipeline reliability and compliance reporting .
This also handels high loads and made for high scalabilty & high throughput.
What do you dislike about the product?
It has steep learning curve, especially when u have use some advance features deep technical knowledge of data engineering and related fields is required.
UI feels sometimes little sluggish and cluttered when operator has to deal with complex pipelines.
It's bit costlier for smaller teams or startups, if they want to purchase the enterprise-level licensing model .
UI feels sometimes little sluggish and cluttered when operator has to deal with complex pipelines.
It's bit costlier for smaller teams or startups, if they want to purchase the enterprise-level licensing model .
What problems is the product solving and how is that benefiting you?
Data comes form multiple sources and clients ,and all of them are of different structures and formats.
Also some of them are real time .Also sometimes datastructures and schemas changes unexpectedly and previous ETL pipeline was failing to handel that .This scenarios were breaking the pipelines.
IBM StreamSets here comes as an one man show ,it automatically detects schemas and data structural changes and handels it accordingly .
That reduces pipeline faliures.Along with that it also supports both real time streamings and batch processing pipe lines.
As becuse it needs less maintainance and less human interventions ,it helps to make the raw to processable in less time.
Also some of them are real time .Also sometimes datastructures and schemas changes unexpectedly and previous ETL pipeline was failing to handel that .This scenarios were breaking the pipelines.
IBM StreamSets here comes as an one man show ,it automatically detects schemas and data structural changes and handels it accordingly .
That reduces pipeline faliures.Along with that it also supports both real time streamings and batch processing pipe lines.
As becuse it needs less maintainance and less human interventions ,it helps to make the raw to processable in less time.