Mateus L.

Mid-Market (51-1000 emp.)

10/28/2020

"Streamsets: Data Ingestion Master"

4.5/5

What do you like best about IBM StreamSets?

The possibility of getting data from almost any place, transforming it, and sending it at any other place.

Also the API is very useful as you can launch jobs from airflow, for example. Ease of use, parameters that help you configuring things like Mongo, Kafka, etc. The many transformational steps that you can add to a pipeline.

The parameters that can be sent through the API with airflow so you can customize lots of things and have lots of automation.

User friendly, fast, reliable, capability of handling errors with GCS or Kafka, for exmple. Review collected by and hosted on G2.com.

What do you dislike about IBM StreamSets?

The open source version don't have all of the features that the enterprise version offers (control hub). It's not actually something I dislike but you gotta know how to manage a linux server to get the best ouf of it with the lower possible cost. It's not hard though. Review collected by and hosted on G2.com.

Recommendations to others considering IBM StreamSets:

Try it, you can use docker to try it in your computer in an easy way. Review collected by and hosted on G2.com.

What problems is IBM StreamSets solving and how is that benefiting you?

Data Ingestion and Processing, getting data from one place (json or relational), transforming it, and loading and ingesting it somewhere else (bigquery, postgres) Review collected by and hosted on G2.com.

IBM StreamSets Reviews & Product Details

IBM StreamSets is a robust streaming data integration tool for hybrid, multi-cloud environments that enables real-time decision making. It allows ingestion and in-flight transformation of structured, unstructured, and semi-structured data from streaming sources, and reliably delivers trusted data into diverse destinations. Flexible deployment options promote security, cost-effectiveness and performance. With several pre-built connectors, an intuitive no-code/low-code interface, and automatic adaptability to data drifts, StreamSets accelerates data pipeline operationalization. It integrates with IBM’s broader data integration capabilities, enabling reliable pipelines that unify multiple data integration patterns, underpinned by data observability capabilities for continuous data quality monitoring and remediation. That’s why the largest companies in the world trust StreamSets to power millions of data pipelines for modern analytics, data science, smart applications, and hybrid integration.

Seller

IBM

Languages Supported

English

Product Description

StreamSets DataOps Platform is an end-to-end data engineering platform to design, deploy, operate and optimize data pipelines to deliver continuous data. StreamSets offers a single pane of glass for batch, streaming, CDC, ETL and ML pipelines with built-in data drift protection for full transparency and control across hybrid, on-premise and multi-cloud environments.

Overview by

Natasha Collins

Value at a Glance

Averages based on real user reviews.

Time to Implement

4 months

Return on Investment

20 months

View More Pricing Information

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IBM StreamSets Media

IBM StreamSets Demo - Create, preview, and configure a pipeline in StreamSets

Use the wysiwyg editor to simply build and preview your smart data pipeline.

IBM StreamSets Demo - Learn about pipeline design with sample pipelines in StreamSets

Plug and play with sample pipelines, then duplicate to use a sample pipeline as the basis of your own, custom pipeline.

IBM StreamSets Demo - Share and reuse pipeline fragments in multiple StreamSets pipelines

Use pipeline fragments to add the same processing logic across multiple pipelines and ensure proper use.

IBM StreamSets Demo - View existing jobs and job status in StreamSets

Jobs are the output of the pipelines you've built. View your existing jobs and status to understand current usage.

IBM StreamSets Demo - Create a scheduled task or check in our your existing ones

A scheduled task starts, stops, or upgrades jobs on a regular basis.

IBM StreamSets Demo - Check in on your operations dashboard in StreamSets

Get a quick gut check on alerts, errors, and consumption.

IBM StreamSets Reviews (114)

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Abhishek D.

Data Engineer

Mid-Market (51-1000 emp.)

9/8/2025

"Powerful Data Integration With IBM Stream sets."

5/5

What do you like best about IBM StreamSets?

The thing that I most like about stream sets is that it makes building real time data integration and pipeline building is made very smooth. The drag and drop interface is easy to use. Also it connects to various data sources and destinations. It has cool built in monitoring and error handling mechanisms to help keep out an eye on the health of your pipeline. I also enjoy how scalable it is. I mean you can use it on a small project to something enterprise level project. Review collected by and hosted on G2.com.

What do you dislike about IBM StreamSets?

it can be tricky to get started directly with streamsets especially if you are at beginner level. Like if you don't have any experience prior about data engineering. You need deeper level of understanding to use some advanced features but I think the documentation is helpful sometimes but not always. Also the pricing seems steep for small teams. Review collected by and hosted on G2.com.

What problems is IBM StreamSets solving and how is that benefiting you?

Streamsets platform is designed to simplify ETL and big data integration by enabling organizations to quickly and comprehensively deploy, operate and use data-in-motion technologies, and eliminate the need for custom coding. It’s how it manages all of the complex data transformation, real time ingestion, and error handling that you’d typically need to handle manually.

It makes it so much faster and easier to build and manage ETL pipelines. And I can analyze data instead of repairing broken data flows. The automation, scalability, and monitoring capabilities can save time and be more efficient when working with Massive data sets. Review collected by and hosted on G2.com.

Konjengbam M.

BDR

Financial Services

Mid-Market (51-1000 emp.)

10/26/2025

"Excellent Data Integration and Productivity, But Pricey and Requires Training"

4.5/5

What do you like best about IBM StreamSets?

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. Review collected by and hosted on G2.com.

What do you dislike about IBM StreamSets?

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. Review collected by and hosted on G2.com.

Abhishek K.

Technical Lead

Information Technology and Services

Enterprise (> 1000 emp.)

1/20/2022

"IBM StreamSets: Solid Foundations, But Falling Behind Modern Data Tooling"

3.5/5

What do you like best about IBM StreamSets?

StreamSets continues to offer an intuitive drag-and-drop canvas that simplifies pipeline creation. The seamless integration with key-vaults for secure secret management and the ease of scheduling pipelines remain strong features. It's beginner-friendly and gets data flowing quickly, especially for teams with limited coding background. Review collected by and hosted on G2.com.

What do you dislike about IBM StreamSets?

While StreamSets was once a frontrunner in visual pipeline design, modern cloud-native tools have leapfrogged it. Platforms like Azure Data Factory, Amazon EMR notebooks, and Apache Airflow now offer more flexibility, deeper integrations, and better support for orchestration, monitoring, and cost control. Adding richer developer features, tighter CI/CD capabilities, and improved scalability options would help StreamSets stay relevant in today’s fast-evolving data engineering landscape. Review collected by and hosted on G2.com.

Recommendations to others considering IBM StreamSets:

A product to consider for fast-paced Data Engineering pipeline development. Review collected by and hosted on G2.com.

What problems is IBM StreamSets solving and how is that benefiting you?

Being part of one of the Health Care Service provider accounts, we as a Data Engineering Team utilize Streamsets to design Data Pipelines to hydrate ADLS/GCS. This Datasets further helps Data scientists and analysts to generate patterns/insights for the healthcare benefits of customers. Review collected by and hosted on G2.com.

Ayon S.

Software Engineer(JAVA BACKEND)

Information Technology and Services

Mid-Market (51-1000 emp.)

9/11/2025

"IBM StreamSets review: Powers and pitfalls of the streaming beast."

3.5/5

What do you like best about IBM StreamSets?

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. Review collected by and hosted on G2.com.

What do you dislike about IBM StreamSets?

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 . Review collected by and hosted on G2.com.

What problems is IBM StreamSets 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. Review collected by and hosted on G2.com.

John W.

Information Technology Engineer

Mid-Market (51-1000 emp.)

12/9/2025

"Functional Data Pipeline Creation and Productive Data Quality Management System."

5/5

What do you like best about IBM StreamSets?

Effective IBM platform for easy creation and monitoring of data pipelines and its integration across several Hybrid and even multi cloud environment.

The ability on data enrichment and data quality management and process easy Automation this product is excellent. Review collected by and hosted on G2.com.

What do you dislike about IBM StreamSets?

Powerful IBM solution and easy to configure all its functions and on starting the implementation process is very easy with no errors found. Review collected by and hosted on G2.com.

Harshitha R.

Software Engineer

Enterprise (> 1000 emp.)

9/8/2025

"Simplifying Complex Data Pipelines"

5/5

What do you like best about IBM StreamSets?

I like how StreamSets makes building and managing data pipelines very intuitive with its drag-and-drop interface. It supports real-time streaming as well as batch processing, and the built-in monitoring/alerts give great visibility into pipeline health and data quality. Review collected by and hosted on G2.com.

What do you dislike about IBM StreamSets?

Some advanced features have a steep learning curve, and the platform can feel resource-intensive at times. Documentation could be more detailed, and faster response from support would make the experience even better. Review collected by and hosted on G2.com.

What problems is IBM StreamSets solving and how is that benefiting you?

IBM StreamSets helps us handle complex data integration across multiple sources and destinations in real time. It solves the challenge of building scalable, automated pipelines without heavy coding, while ensuring data quality and observability. This has reduced manual effort, improved reliability, and allowed faster decision-making based on up-to-date data. Review collected by and hosted on G2.com.

Vivek R.

Data Engineer

Computer Software

Enterprise (> 1000 emp.)

11/15/2023

"A Powerful Platform for ETL and Streaming Analytics"

4.5/5

What do you like best about IBM StreamSets?

The platform’s growing support for automation, reusability, and real-time processing makes it not just an ETL tool, but a full-fledged DataOps platform. Review collected by and hosted on G2.com.

What do you dislike about IBM StreamSets?

IBM Stream Sets is a powerful platform, but it can improve in a few key areas. Handling highly complex or customized integrations can be challenging, and connector support for some newer cloud services could be expanded. The learning curve for Control Hub and CI/CD automation is a bit steep for new users, and error messages during pipeline failures could be more detailed to help with faster troubleshooting. Review collected by and hosted on G2.com.

Dharmendra M.

embedded saoftware engineer

Mid-Market (51-1000 emp.)

9/15/2025

"IBM Steamset review by me"

4.5/5

What do you like best about IBM StreamSets?

user-friendly, visual, low-code/no-code interface that simplifies data pipeline creation with a drag-and-drop approach Review collected by and hosted on G2.com.

What do you dislike about IBM StreamSets?

i couldnt think any reason to dislike it Review collected by and hosted on G2.com.

What problems is IBM StreamSets 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 Review collected by and hosted on G2.com.

Sheel S.

Data Scientist II

Small-Business (50 or fewer emp.)

9/11/2025

"I liked the low code and data integration that works with automatic schema handling."

4/5

What do you like best about IBM StreamSets?

1. Works well in real-time and batches

2. Low code visual UI

3. Easier deployment

4. Probably work well with IBM ecosystem. But not tried yet. Review collected by and hosted on G2.com.

What do you dislike about IBM StreamSets?

1. Enterprise grade costing would be tricky.

2. Though simple features are easier to learn but advanced ones are complex and time taking whole learning.

3. Overall limited community of IBM ecosystem I'm compare to competitors Review collected by and hosted on G2.com.

yogeshwer V.

Senior Data Analyst-PowerSchool

Enterprise (> 1000 emp.)

3/12/2024

"Best ETL tool to manage data"

4.5/5

What do you like best about IBM StreamSets?

I really like how IBM StreamSets now works with watsonx—it makes building and managing data pipelines feel a lot smoother. The smart automation, clear data tracking, and built-in quality checks save time and reduce guesswork.

Review collected by and hosted on G2.com.

What do you dislike about IBM StreamSets?

One thing IBM StreamSets could improve is making the interface a bit more beginner-friendly. Also, faster and clearer error messages during pipeline issues would really help save time and reduce frustration.

Review collected by and hosted on G2.com.