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

Discussions

IBM StreamSets Community

Languages Supported

English

Solution Type

All-in-One

Overview by

Natasha Collins

Value at a Glance

Averages based on real user reviews.

Time to Implement

4 months

Return on Investment

20 months

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Top-Rated Alternatives

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User Insights

Average based on 115 real user reviews.

Implementation Time

4 months

Perceived Cost

$$$$$

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Verified User in Banking

Small-Business (50 or fewer emp.)

8/9/2023

"Stream sets - making data engineering simple"

3.5/5

What do you like best about IBM StreamSets?

The tool canvas and easy to use interface. Allows making connection with several endpoints very simple Review collected by and hosted on G2.com.

What do you dislike about IBM StreamSets?

I suppose better diagnosing support for errors/bugs would have been good Review collected by and hosted on G2.com.

Response from Natasha Collins of IBM StreamSets

Thank you so much for taking the time to share your review of StreamSets. We are happy to hear your overall experience with us has been positive! We're thrilled to hear that you're enjoying the platform's interface, its ease of use, and the simplicity of connecting with multiple endpoints using StreamSets. We're also delighted StreamSets is benefiting your workflow development. Your success is our priority. We are always here to lend a helping hand and ensure that you continue to have a positive experience with StreamSets.

Dhanasekaran N.

Senior Vice President | Senior Engineering Manager lCapability |Data engineering

Mid-Market (51-1000 emp.)

8/4/2023

"Engineering Manager"

3.5/5

What do you like best about IBM StreamSets?

Abstraction of complexity of spark or ETL Review collected by and hosted on G2.com.

What do you dislike about IBM StreamSets?

Scaling capabilities not great Improve more connectors like DB2, Terradata Review collected by and hosted on G2.com.

Jered L.

Data Engineer

Enterprise (> 1000 emp.)

Originally submitted 10/23/2020

"StreamSets used to be a great open source tool, but has lost it’s niche"

2.5/5

What do you like best about IBM StreamSets?

The simplicity of creating data pipelines visually, with no clunky installation and no databases / metadata to manage, like with other ETL tools. All pipeline info is stored on the file system itself. Review collected by and hosted on G2.com.

What do you dislike about IBM StreamSets?

They have closed source their software and locked it behind a SaaS model. This is a relatively recent change which caused lots of headaches Review collected by and hosted on G2.com.

Recommendations to others considering IBM StreamSets:

There is no reason not to try the data collector.. It is free to download the Tarbell and install. Try it using docker on your local machine, then deploy it in a development environment for testing. Review collected by and hosted on G2.com.

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

We are regularly using StreamSets to pull 220 million records daily from Salesforce, eliminating the need to write complicated python code. We are also using this tool for Oracle CDC, which has worked well at scale (20 million transactions / day). I have also used this tool to consume from over 5 different JDBC based sources, with great performance and simple implementation.

The best benefit we have realized is the fact that you can dockerize the SDC service, deploy it in ECS or any container orchestration service, and run pipelines that scale horizontally, instead of having static servers hosting the service. If you can implement this properly, it makes writing ingestion pipelines EXTREMELY simple. I can add a new data source to our ETL jobs within a day, instead of weeks by doing this. And it scales to handle thousands of tables! Review collected by and hosted on G2.com.

Mustafa K.

Data Engineer

Small-Business (50 or fewer emp.)

8/30/2022

"Best Data Pipeline Building Platform"

5/5

What do you like best about IBM StreamSets?

Stream Set is one of the leading Data Pipeline creating platforms and it is used by many tech giants also. Also, it is partnered with AWS, Snowflake, Google Cloud, and Azure. Which is very helpful for DevOps, DataOps and Data engineers because it provides a comprehensive solution on one platform. Review collected by and hosted on G2.com.

What do you dislike about IBM StreamSets?

I think it didn't have any downfall because the platform is so versatile. The only thing they can improve is by adding more regional servers around the world so that latency will reduce. Review collected by and hosted on G2.com.

Tribhuban G.

Project Manager

Enterprise (> 1000 emp.)

8/16/2022

"Review of Working in StreamSets platform"

4.5/5

What do you like best about IBM StreamSets?

The intuitive canvas for designing all the Streamsets pipelines coupled with the ease of configuration of environment values in Streamsets are very useful for a Data Architect. Review collected by and hosted on G2.com.

What do you dislike about IBM StreamSets?

the datacollector has to be designed properly. Few of the components require external jars . For example a simple DB configuration like MySQLDB requires the jar for mysql connector to be installed in the Datacollector in order to use tht Datacollector for data reading purposes. Review collected by and hosted on G2.com.

nitin s.

Technical Lead

Enterprise (> 1000 emp.)

1/30/2022

"Very Powerful and Easy Data Engineering platform. Capable to handle multiple platform and huge data."

5/5

What do you like best about IBM StreamSets?

StreamSets is very light. Since it is a containerized app, it is easy to use with Docker if you are an individual developer. For organizations, they can use Kubernetes. They have a very easy and user-friendly user interface. It takes only a few days for new developers to start and deploy their first pipelines. StreamSets provides easy and powerful stages (kind of connectors) to integrate StreamSets with different platforms such as Kafka, SalesForce, Oracle DB, Rest API, HTTPS connection, Data lakes, and many more. StreamSets uses regex expression for data transformation related operation which is really easy. Monitoring StreamSets pipelines is very easy, you can register your Data collector to control hub using provisioning agents. After registering, you can deploy pipelines to SCH and create jobs. All of this can be done using their Python SDK which can easily be integrated with ADO release pipelines. After creating/deploying pipelines, users can use SCH subscription to create alerts if pipelines/jobs change their status. For individual alerts, the pipeline has built-in capability to do so. After their version 4.0.1, SDC are merged with their data ops platform. This allows individual developers to have the feel of a Control Hub. It also removes platform dependency. They have very excellent security. Pipeline can be integrated with Azure Keyvaults which eliminates the need of sharing credentials with Developers. Same goes for parameters and runtime parameter. Developers can easily replace any value in pipeline with ADO library variables. If you are an Organization, they provide very extensive support, work instantly on any bug if found by an organization. They also have a customer success team which will do anything to make sure your organization's experience with StreamSets is seamless. Review collected by and hosted on G2.com.

What do you dislike about IBM StreamSets?

A few of the stages are a bit unstable. Like Oracle CDC client. They work fine but in some corner case scenario, it becomes a bit tricky. Logging mechanism is excellent and extensive but it could be simpler. Review collected by and hosted on G2.com.

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

I am in an organization where we are working on sharing Data between multiple applications running on different platforms. So we needed a tool/platform that can easily integrate with a variety of technology and can adapt to this ever-changing era. StreamSets allowed us to share real-time data between platforms which also removed dependency from heavier ETL tools like SSIS, Abinitio. Since it is easier, it allows our talent development team to enable our developers to use StreamSets. Review collected by and hosted on G2.com.

Paula S.

Junior Software Engineer

Mid-Market (51-1000 emp.)

8/11/2022

"StreamSets is easy to use and maintain, has transparent appearance."

4/5

What do you like best about IBM StreamSets?

Very easy to follow where data goes, catch up on nodes and prepare a preview. Review collected by and hosted on G2.com.

What do you dislike about IBM StreamSets?

Sometimes is not clear from the first view how to set up nodes for a new person. A site with an explanation of how each node works would be very helpful. Review collected by and hosted on G2.com.

Verified User in Information Technology and Services

Enterprise (> 1000 emp.)

8/19/2022

"Pleasantly surprised by its capabilities."

4/5

What do you like best about IBM StreamSets?

The UI canvas and choosing the different stages like processors and origin and destinations. Review collected by and hosted on G2.com.

What do you dislike about IBM StreamSets?

The lineage/provenance feature needs work. I hate to compare it with Apache Nifi but this is one feature that Nifi trumps Stream Sets on. Review collected by and hosted on G2.com.

Rishabh G.

Data Integration Architect

Small-Business (50 or fewer emp.)

8/27/2022

"Streamsets review"

3.5/5

What do you like best about IBM StreamSets?

Build fast and efficient data pipelines. Setting up environment is not complex and can be done within minutes. Review collected by and hosted on G2.com.

What do you dislike about IBM StreamSets?

Lag on Streamsets cloud UI, not enough use cases and examples for many problems. Hybrid Data sets cannot be joined in data collector which is a significant limitation. Hands-on lab has lesser time duration to practice. Review collected by and hosted on G2.com.

Eliana T.

streamsets analyst

Small-Business (50 or fewer emp.)

6/9/2022

"it was good, user friendly, the help desk is very good"

4.5/5

What do you like best about IBM StreamSets?

it´s really user friendly, there´s a lot of information in the portal Review collected by and hosted on G2.com.

What do you dislike about IBM StreamSets?

sometimes there are a lot of tricks that can´t be found in the portal and you go around without knowing how to proceed Review collected by and hosted on G2.com.