StreamSets vs Talend Data Fabric comparison

IBM and Qlik are both solutions in the Data Integration category. IBM is ranked #24 with an average rating of 9.5, while Qlik is ranked #33 with an average rating of 8.0. IBM holds a 1.2% mindshare in DI, compared to Qlik’s 0.8% mindshare. Additionally, 100% of IBM users are willing to recommend the solution, compared to 85% of Qlik users who would recommend it.

StreamSets

Read 21 StreamSets reviews

3,998 Views
3,038 Comparison Views

100% willing to recommend

Talend Data Fabric

Read 8 Talend Data Fabric reviews

2,282 Views
2,168 Comparison Views

85% willing to recommend

StreamSets

Talend Data Fabric

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Executive SummaryUpdated on Dec 19, 2024

StreamSets and Talend Data Fabric are key players in the data integration sector. StreamSets is favored for its flexibility and ease of deployment, while Talend is appreciated for its extensive feature set, including advanced data governance.

Features: StreamSets focuses on real-time data processing, extensive connectivity to diverse data sources, and ease of use through a user-friendly interface. Talend Data Fabric provides robust data integration capabilities, extensive data governance tools, and multi-cloud data orchestration, accommodating comprehensive data management needs.

Room for Improvement: StreamSets could improve in handling larger volumes of complex data records and optimization for faster processing in such scenarios. Enhancements in their user interface responsiveness and documentation consistency are also beneficial. Talend Data Fabric might benefit from simplifying its deployment process and reducing complexity in multi-step configurations. Their pricing model could be more accessible for smaller organizations needing fewer features, and further optimizing their educational resources for quicker onboarding would be advantageous.

Ease of Deployment and Customer Service: StreamSets is known for its straightforward deployment, which allows rapid implementation with minimal technical barriers, complemented by responsive customer support. Talend Data Fabric offers comprehensive deployment processes with seamless integration across varied systems, supported by robust customer service and extensive educational materials, though its deployment can be time-intensive.

Pricing and ROI: StreamSets offers competitive pricing with low initial setup costs, delivering favorable ROI due to efficient deployment and operations. Talend Data Fabric, at a higher price point, justifies its cost through its extensive features and value-added services, often leading to significant long-term ROI for users managing complex data environments.

To learn more, read our detailed StreamSets vs. Talend Data Fabric Report (Updated: June 2026).

Buyer's Guide

StreamSets vs. Talend Data Fabric

June 2026

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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

24th

Average Rating

8.4

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Talend Data Fabric

Ranking in Data Integration

33rd

Average Rating

8.4

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of July 2026, in the Data Integration category, the mindshare of StreamSets is 1.2%, down from 1.5% compared to the previous year. The mindshare of Talend Data Fabric is 0.8%, down from 1.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration Mindshare Distribution
Product	Mindshare (%)
StreamSets	1.2%
Talend Data Fabric	0.8%
Other	98.0%

Data Integration

Featured Reviews

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.

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Salini RAVINDRANATH

Solution Architect at Spire Solutions

Data governance has improved and complex integrations are handled with flexible customization

Regarding Talend Data Fabric, the ease of use and the customization options that are available are particularly valuable. There are a lot of built-in components and features that we can modify in any way we want to transform the data and make it analytics ready. Talend Data Catalog is another product that, when combined with Talend Data Fabric, can be used for the data governance piece. The stewardship, ownership, and curation happen mainly from the Data Catalog side. Within Talend Data Fabric, the role-based access control is used for user segregations such as security infrastructure-related or integration-related activities. It bifurcates the roles and responsibilities. From the data standpoint, the RBAC functions with the help of Data Catalog.

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

"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"

"Also, the intuitive canvas for designing all the streams in the pipeline, along with the simplicity of the entire product are very big pluses for me. The software is very simple and straightforward. That is something that is needed right now."

"The ability to have a good bifurcation rate and fewer mistakes is valuable."

"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 most valuable feature is the pipelines because they enable us to pull in and push out data from different sources and to manipulate and clean things up within them."

"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 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."

"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."

More StreamSets pros

"From my experience around Business Intelligence for data and analytics for around twenty-something years, I can say that what I appreciate about Talend Data Fabric is that we can connect sources to everything and be able to customize everything."

"Talend has very good support for big data."

"There are a lot of built-in components and features that we can modify in any way we want to transform the data and make it analytics ready."

"We've had no issues with the stability so far."

"The initial setup is very easy."

"It is a smart tool for us to design data pipelines. It lets us populate our three data lake instances. We like this solution for its connection capabilities, since it is very important to be able to use many different types of software. We tested a lot of SAP sources successfully, including cloud sources with SAP. It is also very easy to anonymize data with TIBCO, as well as populating HDFS files, packet files, and raw files. It is very easy to do that with Talend Data Fabric."

"Talend can be used for multi-cloud purposes, allowing users to orchestrate data across various cloud platforms without purchasing AWS Glue, Azure Data Factory, or similar cloud-specific tools."

"The Talend data integration has been one of the most valuable features."

More Talend Data Fabric pros

Cons

"Currently, we can only use the query to read data from SAP HANA. What we would like to see, as soon as possible, is the ability to read from multiple tables from SAP HANA. That would be a really good thing that we could use immediately. For example, if you have 100 tables in SQL Server or Oracle, then you could just point it to the schema or the 100 tables and ingestion information. However, you can't do that in SAP HANA since StreamSets currently is lacking in this. They do not have a multi-table feature for SAP HANA. Therefore, a multi-table origin for SAP HANA would be helpful."

"StreamSet works great for batch processing but we are looking for something that is more real-time. We need latency in numbers below milliseconds."

"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."

"We create pipelines or jobs in StreamSets Control Hub. It is a great feature, but if there is a way to have a folder structure or organize the pipelines and jobs in Control Hub, it would be great. I submitted a ticket for this some time back."

"The documentation is inadequate and has room for improvement because the technical support does not regularly update their documentation or the knowledge base."

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

"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."

"The software is very good overall. Areas for improvement are the error logging and the version history. I would like to see better, more detailed error logging information."

More StreamSets cons

"The support is not very good. The team is not well-trained, and resolving a ticket can require several discussions."

"We are currently using version 7.3.1, but preferred the version before. The problem that we currently have is that Talend are releasing patches for Talend Studio every quarter. Our technical team has to be on top of these patches and constantly ensure everything is updated."

"We encounter issues getting email notifications. They should provide enough information about the configuration process for email components."

"I would like to see better integration with other tools."

"Talend's architecture is complex to configure, especially due to the various components involved. It requires a more intricate setup."

"The downside, however, is indeed the pricing, which has been the biggest challenge; since it went to Click, there is no longer a free license version such as Talend Open Studio, so either you pay or you do not have anything."

"I would like to see better integration with other tools because every tool waiting for approval in terms of leveraging machine learning takes a long time."

"Deployment can be difficult, but I didn't test the latest version yet. With Talend products, every release brings a lot of new features and functionalities. This is never a small adaptation, because the tool is maturing, but we need to test the latest version and to check its deployment capabilities."

More Talend Data Fabric cons

Pricing and Cost Advice

"StreamSets is an expensive solution."

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

"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."

"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."

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

More StreamSets pricing and cost advice

"There are no additional licensing fees when you scale"

"There are multiple subscriptions available with Talend, each with its own scope. Subscriptions depend on the number of users you have and how many remote engines you want to install."

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Top Industries

By visitors reading reviews

Financial Services Firm

12%

Manufacturing Company

Insurance Company

Computer Software Company

Comms Service Provider

11%

Computer Software Company

Insurance Company

University

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	9
Midsize Enterprise	2
Large Enterprise	11

By reviewers
Company Size	Count
Small Business	5
Midsize Enterprise	1
Large Enterprise	3

Questions from the Community

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

What needs improvement with Talend Data Fabric?

Regarding the downsides of Talend Data Fabric, I think they can improve overall pricing. It is a challenging question to answer because, while I see advantages, the disadvantages revolve mostly aro...

See all answers

What is your primary use case for Talend Data Fabric?

I am currently phasing out of Talend Data Fabric, as the client where I have worked for many years migrated out of Talend this year into a different tool. I have helped the team to migrate out of T...

See all answers

What advice do you have for others considering Talend Data Fabric?

At the moment of phasing out Talend Data Fabric, maintenance from my end is not applicable. A new user would need to monitor the drivers associated with the tools being used closely. For example, i...

See all answers

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Compared 10% of the time

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Compared 8% of the time

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Compared 8% of the time

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Compared 6% of the time

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Product Reports

Buyer's Guide

StreamSets

June 2026

Download StreamSets product report

Buyer's Guide

Talend Data Fabric

June 2026

Download Talend Data Fabric product report

Overview

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

Talend Data Fabric provides a comprehensive solution for managing data pipelines, offering features like data connection, business queries, and schema management. Its user-friendly GUI and multi-cloud orchestration capabilities make it a critical tool for modern data processing needs.

Talend Data Fabric enhances data management by providing 900 connectors for tool integration, supporting multi-cloud orchestration without additional investments. With a user-friendly GUI in Talend Studio and an admin console, it ensures efficient task management. Customization is a key feature valued by developers. While priced as a challenge post-Click transition, eliminating its free license version, opportunities lie in improving its email configuration, deployment ease across platforms, and better integration with other tools. Documentation on data governance and memory management tools could be refined, and the integration of machine learning should be streamlined. Use cases involve data extraction, uploading, integration, and quality management. Organizations utilize it for designing data pipelines, popularizing APIs, anonymizing data, and managing big data processing through clusters like Spark.

What are the main features of Talend Data Fabric?

Data Connection: Facilitates robust connections across multi-cloud environments.
Schema Management: Streamlines schema creation and modifications.
Business Queries: Provides powerful tools for crafting detailed queries.
User-Friendly GUI: Simplifies navigation through Talend Studio and admin console.
900 Connectors: Offers extensive tool integration potential.
Customization: Allows developers to tailor solutions to specific needs.

What benefits should users look for?

Comprehensive Integration: Reduces the need for multiple vendors.
Cloud Support: Enables seamless orchestration across multiple clouds.
Big Data Processing: Manages large-scale data efficiently through clusters like Spark.
API Integration: Facilitates smooth connections with APIs for data interchange.

In industries like finance and healthcare, Talend Data Fabric is used to design secure data pipelines, ensuring compliance and data integrity. Retailers utilize it for streamlined supply chain data integration, while telecommunications rely on it for customer data management and analytics. Its multi-cloud capabilities and rich connector library support diverse industry needs.

Qlik

Sample Customers

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

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Buyer's Guide

StreamSets vs. Talend Data Fabric

June 2026

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