StreamSets vs Talend Data Fabric comparison

Why PeerSpot?

IBM and Qlik are both solutions in the Data Integration category. IBM is ranked #27 with an average rating of 9.0, while Qlik is ranked #32 with an average rating of 8.0. IBM holds a 1.1% mindshare in DI, compared to Qlik’s 0.9% 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

4,718 Views
3,633 Comparison Views

100% willing to recommend

Talend Data Fabric

Read 8 Talend Data Fabric reviews

2,902 Views
2,757 Comparison Views

85% willing to recommend

StreamSets

Talend Data Fabric

Comparison Buyer's Guide

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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: September 2026).

Buyer's Guide

StreamSets vs. Talend Data Fabric

September 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

27th

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

32nd

Average Rating

8.4

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of October 2026, in the Data Integration category, the mindshare of StreamSets is 1.1%, down from 1.4% compared to the previous year. The mindshare of Talend Data Fabric is 0.9%, up from 0.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration Mindshare Distribution
Product	Mindshare (%)
StreamSets	1.1%
Talend Data Fabric	0.9%
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.

Read full review

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. 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

"One of the things I like is the data pipelines. They have a very good design. Implementing pipelines is very straightforward. It doesn't require any technical skill."

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

"I have used Data Collector, Transformer, and Control Hub products from StreamSets. What I really like about these products is that they're very user-friendly. People who are not from a technological or core development background find it easy to get started and build data pipelines and connect to the databases. They would be comfortable like any technical person within a couple of weeks."

"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."

"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"

"The most valuable features are the option of integration with a variety of protocols, languages, and origins."

"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."

"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

"Everything in Talend Data Fabric is GUI-based, making it very user-friendly and easy to learn quickly."

"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."

"What I find most valuable about this solution is the 900 connectors because it allows me to integrate any tool and any cloud system I need to integrate and they have a connector out of the box."

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

"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."

"Talend has very good support for big data."

More Talend Data Fabric pros

Cons

"One area for improvement could be the cloud storage server speed, as we have faced some latency issues here and there."

"The execution engine could be improved. When I was at their session, they were using some obscure platform to run. There is a controller, which controls what happens on that, but you should be able to easily do this at any of the cloud services, such as Google Cloud. You shouldn't have any issues in terms of how to run it with their online development platform or design platform, basically their execution engine. There are issues with that."

"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."

"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."

"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."

"There are a few things that can be better."

"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."

"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."

More StreamSets cons

"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."

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

"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."

"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."

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

"Deployment can be difficult, but I didn't test the latest version yet."

"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

"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."

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

"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."

"The pricing is too fixed. It should be based on how much data you need to process. Some businesses are not so big that they process a lot of data."

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

"It has a CPU core-based licensing, which works for us and is quite good."

More StreamSets pricing and cost advice

"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."

"There are no additional licensing fees when you scale"

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Top Industries

By visitors reading reviews

Financial Services Firm

10%

Outsourcing Company

Comms Service Provider

Manufacturing Company

Comms Service Provider

14%

Manufacturing Company

Computer Software Company

Insurance Company

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?

One thing I found missing was integrations with SAP systems. We have extensively implemented one complex SAP project with Talend Data Fabric. At the same time, there were some complexities there, a...

See all answers

What is your primary use case for Talend Data Fabric?

We are involved with multiple vendors, including Talend, Alteryx, and Informatica in the data management and governance space. In the classification and governance area, we use BigID, Spirion, and ...

See all answers

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

Initially, we were majorly using on-premise solutions and then we have moved into cloud deployments. It depends on the client and their requirement, whether they would want to go ahead with an on-p...

See all answers

Comparisons

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Compared 9% of the time

Informatica PowerCenter vs StreamSets

Compared 6% of the time

SSIS vs StreamSets

Compared 6% of the time

Spring Cloud Data Flow vs StreamSets

Compared 5% of the time

Oracle Data Integrator (ODI) vs StreamSets

Compared 4% of the time

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Compared 10% of the time

Azure Data Factory vs Talend Data Fabric

Compared 8% of the time

Hevo vs Talend Data Fabric

Compared 8% of the time

Denodo vs Talend Data Fabric

Compared 6% of the time

WSO2 Enterprise Integrator vs Talend Data Fabric

Compared 5% of the time

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Product Reports

Buyer's Guide

StreamSets

September 2026

Download StreamSets product report

Buyer's Guide

Talend Data Fabric

September 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

September 2026

Free Report: StreamSets vs. Talend Data Fabric

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