StreamSets vs Talend Data Management Platform comparison

IBM and Talend are both solutions in the Data Integration category. IBM is ranked #10 with an average rating of 8.5, while Talend is ranked #20 with an average rating of 7.8. IBM holds a 1.6% mindshare in DI, compared to Talend’s 1.3% mindshare. Additionally, 100% of IBM users are willing to recommend the solution, compared to 85% of Talend users who would recommend it.

StreamSets

Read 20 StreamSets reviews

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1,762 Comparison Views

100% willing to recommend

Talend Data Management Plat...

Read 20 Talend Data Management Platform reviews

1,942 Views
1,649 Comparison Views

85% willing to recommend

StreamSets

Talend Data Management Plat...

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Executive SummaryUpdated on Dec 19, 2024

Talend Data Management Platform and StreamSets are leading tools in data integration and ETL solutions. StreamSets seems to have the upper hand with its user-friendly features and cost-effective open-source option, appealing to a broader audience.

Features: Talend provides real-time data access and transformation with extensive metadata sharing, ETL capabilities, and flexibility in code integration. It offers advanced monitoring and the ability to handle large data volumes. StreamSets allows code-free pipeline design, robust data drift handling, numerous connectors, and seamless ETL operations, catering to technical and non-technical users with its integration capabilities, particularly with cloud platforms.

Room for Improvement: Talend users face challenges with technical support during installation, multitasking, and documentation clarity. Its administration and version control could also improve, alongside performance in Change Data Capture and data lineage. StreamSets requires enhancements in its GUI, security features, SAP HANA integration, and documentation. Users also express a need for improved logging, user management, and security integrations.

Ease of Deployment and Customer Service: Talend caters to On-premises and Public Cloud deployments but struggles with support responsiveness during difficult installations. Although it has a supportive community portal, its customer service needs improvement. StreamSets, focusing on Public and Hybrid Cloud environments, is praised for immediate deployment scalability and usability but requires better documentation and customer assistance, with accessibility and educational resources needing enhancement.

Pricing and ROI: Talend offers a subscription-based pricing model, cost-effective against legacy competitors yet perceived as moderately high for small setups. StreamSets, with its open-source option, faces criticism for its commercial pricing model, needing adjustments for small enterprises. Both deliver ROI through resource efficiency and scalability benefits.

To learn more, read our detailed StreamSets vs. Talend Data Management Platform Report (Updated: February 2025).

Buyer's Guide

StreamSets vs. Talend Data Management Platform

February 2025

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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

StreamSets

Ranking in Data Integration

10th

Average Rating

8.4

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

No ranking in other categories

Talend Data Management Plat...

Ranking in Data Integration

20th

Average Rating

8.2

Reviews Sentiment

6.6

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of February 2025, in the Data Integration category, the mindshare of StreamSets is 1.6%, up from 1.2% compared to the previous year. The mindshare of Talend Data Management Platform is 1.3%, up from 1.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration

Featured Reviews

Reyansh Kumar

Technical Specialist at Accenture

We no longer need to hire highly skilled data engineers to create and monitor data pipelines

The things I like about StreamSets are its * overall user interface * efficiency * product features, which are all good. Also, 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. You just need to configure the data sources, the paths and their configurations, and you are ready to go. It is very efficient and very easy to use for ETL pipelines. It is a GUI-based interface in which you can easily create or design your own data pipelines with just a few clicks. As for moving data into modern analytics systems, we are using it with Microsoft Power BI, AWS, and some on-premises solutions, and it is very easy to get data from StreamSets into them. No hardcore coding or special technical expertise is required. It is also a no-code platform in which you can configure your data sources and data output for easy configuration of your data pipeline. This is a very important aspect because if a tool requires code development, we need to hire software developers to get the task done. By using StreamSets, it can be done with a few clicks.

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Srinivas Mamidipalli

Senior Technical Manager at YASH Technologies

Built for everything and packed with features but there are some monitoring limitations

Our company uses the solution to provide data integration services for customers. Most of our implementations are on-premises for large or enterprise-level customers. We have six users with experience in both the local studio and the enterprise versions. The solution can run on any machine and…

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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

"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."

"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 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"

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

"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 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."

"StreamSets’ data drift resilience has reduced the time it takes us to fix data drift breakages. For example, in our previous Hadoop scenario, when we were creating the Sqoop-based processes to move data from source to destinations, we were getting the job done. That took approximately an hour to an hour and a half when we did it with Hadoop. However, with the StreamSets, since it works on a data collector-based mechanism, it completes the same process in 15 minutes of time. Therefore, it has saved us around 45 minutes per data pipeline or table that we migrate. Thus, it reduced the data transfer, including the drift part, by 45 minutes."

"StreamSets Transformer is a good feature because it helps you when you are developing applications and when you don't want to write a lot of code. That is the best feature overall."

More StreamSets pros

"The solution is connected to various phones. It retrieves the configuration from the system."

"The features that I like the most are the simplicity of the interface, and the ability to quickly develop with a predefined component."

"The basic tools are easy to pick up and understand."

"I think Talend is one of the easiest tools for faster implementation compared to other tools."

"The most valuable feature is the data loading and scripting language"

"The most valuable features of the Talend Data Management Platform are the components."

"The solution is very user-friendly and easy to understand."

"The most valuable feature is integration."

More Talend Data Management Platform pros

Cons

"There aren't enough hands-on labs, and debugging is also an issue because it takes a lot of time. Logs are not that clear when you are debugging, and you can only select a single source for a pipeline."

"We've seen a couple of cases where it appears to have a memory leak or a similar problem."

"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 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."

"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."

"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."

"They need to improve their customer care services. Sometimes it has taken more than 48 hours to resolve an issue. That should be reduced. They are aware of small or generic issues, but not the more technical or deep issues. For those, they require some time, generally 48 to 72 hours to respond. That should be improved."

"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."

More StreamSets cons

"I've had some issues with bugs causing crashes, especially when making changes to the system or with the monthly upgrades to Studio they've introduced."

"The solution's memory sometimes bottlenecks and that can be challenging."

"I think they should drive toward AI and machine learning. They could include a machine-learning algorithm for the deduplication."

"The product must enhance the data quality."

"They lack in memory capacity."

"Performance and speed could be improved."

"We'd like to see more connectors it the future."

"I'd be interested in seeing the running of Python programs and transformations from within the studio itself."

More Talend Data Management Platform cons

Pricing and Cost Advice

"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."

"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."

"I believe the pricing is not equitable."

"There are two editions, Professional and Enterprise, and there is a free trial. We're using the Professional edition and it is competitively priced."

"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."

"There are different versions of the product. One is the corporate license version, and the other one is the open-source or free version. I have been using the corporate license version, but they have recently launched a new open-source version so that anybody can create an account and use it. The licensing cost varies from customer to customer. I don't have a lot of input on that. It is taken care of by PMO, and they seem fine with its pricing model. It is being used enterprise-wide. They seem to have got a good deal for StreamSets."

"The overall cost is very flexible so it is not a burden for our organization... However, the cost should be improved. For small and mid-size organizations it might be a challenge."

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

More StreamSets pricing and cost advice

"The licensing cost is about 40,000 Euros a year."

"License renewal is on a yearly basis."

"The tool is cheap."

"The price of the Talend Data Management Platform is reasonable. The other competing solutions are priced high. Gartner Magic Quadrant identified other solutions, such as Informatica, that are far more expensive."

"The solution's pricing is very reasonable and half the cost of Informatica."

"The pricing is a little higher than what I had expected, but it's comparable with I-PASS competitors."

"The price is on a per-user basis. It's a little more expensive than other tools. There aren't any additional costs beyond the standard licensing fee."

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Top Industries

By visitors reading reviews

Financial Services Firm

17%

Computer Software Company

11%

Manufacturing Company

10%

Insurance Company

Computer Software Company

21%

Financial Services Firm

17%

Manufacturing Company

Government

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

What do you like most about StreamSets?

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 customiz...

See all answers

What needs improvement with StreamSets?

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 ...

See all answers

What is your primary use case for StreamSets?

StreamSets is used for data transformation rather than ETL processes. It focuses on transforming data directly from sources without handling the extraction part of the process. The transformed data...

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What do you like most about Talend Data Management Platform?

We can develop our own code if we do not see the functionality we need.

See all answers

What is your experience regarding pricing and costs for Talend Data Management Platform?

Talend was an open-source tool, so there were no fees associated with it.

See all answers

What needs improvement with Talend Data Management Platform?

I understand this might relate more to another platform, like the cloud API cloud platform. Nevertheless, data management could also encompass APIs and real-time streaming data integration. I wonde...

See all answers

Comparisons

Informatica PowerCenter vs StreamSets

Compared 14% of the time

IBM InfoSphere DataStage vs StreamSets

Compared 11% of the time

Fivetran vs StreamSets

Compared 9% of the time

webMethods.io vs StreamSets

Compared 9% of the time

Azure Data Factory vs StreamSets

Compared 8% of the time

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Talend Open Studio vs Talend Data Management Platform

Compared 21% of the time

Collibra Catalog vs Talend Data Management Platform

Compared 14% of the time

Talend Data Fabric vs Talend Data Management Platform

Compared 12% of the time

SAP Data Services vs Talend Data Management Platform

Compared 9% of the time

Ab Initio Co>Operating System vs Talend Data Management Platform

Compared 9% of the time

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Product Reports

Buyer's Guide

StreamSets

January 2025

Download StreamSets product report

Buyer's Guide

Talend Data Management Platform

January 2025

Download Talend Data Management Platform product report

Also Known As

No data available

Talend Integration Suite

Overview

StreamSets is a data integration platform that enables organizations to efficiently move and process data across various systems. It offers a user-friendly interface for designing, deploying, and managing data pipelines, allowing users to easily connect to various data sources and destinations. StreamSets also provides real-time monitoring and alerting capabilities, ensuring that data is flowing smoothly and any issues are quickly addressed.

IBM

Talend offers robust data integration in an open and scalable architecture to maximize its value to your business. Simple, graphical tools and wizards get you up and running quickly with native code generation that streamlines development.

Talend

Sample Customers

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

Accent Group, Acticall, Allianz Global Investors Distributors LLC, Car & Boat Media, Cdiscount.com

Buyer's Guide

StreamSets vs. Talend Data Management Platform

February 2025

Free Report: StreamSets vs. Talend Data Management Platform

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