IBM InfoSphere DataStage vs Talend Data Fabric comparison

IBM and Qlik are both solutions in the Data Integration category. IBM is ranked #16 with an average rating of 7.7, while Qlik is ranked #36 with an average rating of 7.0. IBM holds a 1.4% mindshare in DI, compared to Qlik’s 0.8% mindshare. Additionally, 84% of IBM users are willing to recommend the solution, compared to 85% of Qlik users who would recommend it.

IBM InfoSphere DataStage

Read 44 IBM InfoSphere DataStage reviews

5,844 Views
4,851 Comparison Views

84% willing to recommend

Talend Data Fabric

Read 8 Talend Data Fabric reviews

2,188 Views
2,100 Comparison Views

85% willing to recommend

IBM InfoSphere DataStage

Talend Data Fabric

Comparison Buyer's Guide

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Executive SummaryUpdated on Dec 19, 2024

IBM InfoSphere DataStage and Talend Data Fabric compete in the data integration platform category. Talend Data Fabric is often favored for its advanced features and perceived value for its cost, although IBM InfoSphere DataStage is recognized for its strengths in pricing and support.

Features: IBM InfoSphere DataStage is known for massive data processing, seamless integration with IBM ecosystems, and robust metadata management. Talend Data Fabric is praised for open-source flexibility, extensive connectors, and advanced data transformation capabilities.

Room for Improvement: IBM InfoSphere DataStage can improve in deployment complexity, initial integration duration, and user interface modernization. Talend Data Fabric could enhance its documentation, address scaling issues, and provide better support for large enterprise environments.

Ease of Deployment and Customer Service: Talend Data Fabric offers simpler deployment with cloud and on-premise hybrid models and has highly responsive customer service. IBM InfoSphere DataStage, while providing comprehensive documentation, has a more complex deployment process.

Pricing and ROI: IBM InfoSphere DataStage requires a higher initial setup cost but offers substantial long-term ROI with stable performance. Talend Data Fabric has lower initial costs and rapid ROI due to flexible pricing models and open-source benefits.

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

Buyer's Guide

IBM InfoSphere DataStage 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

IBM InfoSphere DataStage

Ranking in Data Integration

16th

Average Rating

7.8

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

No ranking in other categories

Talend Data Fabric

Ranking in Data Integration

36th

Average Rating

8.4

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of June 2026, in the Data Integration category, the mindshare of IBM InfoSphere DataStage is 1.4%, down from 4.9% compared to the previous year. The mindshare of Talend Data Fabric is 0.8%, down from 1.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration Mindshare Distribution
Product	Mindshare (%)
IBM InfoSphere DataStage	1.4%
Talend Data Fabric	0.8%
Other	97.8%

Data Integration

Featured Reviews

Prasad Bodduluri

Senior Data Warehouse Developer at itcinfotech

Has required complex workarounds for scripts and struggles with unstructured data processing

There is no issue with IBM InfoSphere DataStage's graphical interface for designing data flows, but I will provide feedback that we are gathering the source from the Oracle database mainly, as well as from some spreadsheets. With respect to the Oracle DB Connector, if you write any PL/SQL or SQL with the connectors, there aren't many options, such as executing procedures in the PL/SQL, executing functions, or executing packages. The Oracle connector doesn't have many features and needs improvement. Nowadays many people are writing programs in Python or in PL/SQL with respect to Oracle, so especially in IBM InfoSphere DataStage, there are no features to call programs directly instead of calling them as a script. What I am facing, especially with parallel processing, is that a developer and admin have to sit together. They have to run the job multiple times with different combinations of parallel processing to get the best performance. Instead of that, if the job itself gave some guidance, such as running this parallel processing with this many nodes, it would help; I think that is missing. An additional feature I would want to see in the next release is the ability to work on logs, especially machine logs or artificial logs, to pull semi-structured or unstructured data without having to write extensive code in Python and integrate it. If IBM InfoSphere DataStage provided some feature for this, it would help.

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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.

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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

"It generates highly efficient backend code to write data onto IBM systems, which I find valuable."

"It improves how our client's organization functions."

"As a data integration platform, it is easy to use, quite robust, and useful for volumetric analysis when you have huge volumes of data."

"I have leveraged IBM InfoSphere DataStage's integration with IBM's Information Server suite, and it is indeed beneficial."

"The most valuable feature for our data processing needs is IBM InfoSphere DataStage's capability to handle ETL tasks with large record volumes."

"This solution is very easy to use because you can design to compile and to run."

"Customer service was mostly strong, and technical support was generally good, although there was sometimes confusion about how to resolve issues."

"IBM is stable and accurate to monitor. It's easy to understand to monitor the data lineage from source to target."

More IBM InfoSphere DataStage pros

"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."

"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."

"The initial setup is very easy."

"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."

"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."

"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."

More Talend Data Fabric pros

Cons

"The template mapping could be easier."

"DataStage is quite expensive. It is too hard to find a consultant using DataStage in Turkey."

"Currently lacking virtualization ability."

"The pricing should be lower."

"Improvements for DataStage could include better integration with modern data sources like cloud solutions and documents, along with enhancing its capability to handle non-structured data."

"Reduced cost would allow more customers to choose the product. It's quite expensive in relation to the cost of other similar solutions."

"The deployment could be more straightforward."

"The graphical user interface (GUI) feels a lot like the interfaces from the 1980s."

More IBM InfoSphere DataStage cons

"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."

"Support is something that drives me crazy these days."

"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."

"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."

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

"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."

More Talend Data Fabric cons

Pricing and Cost Advice

"Small and medium-sized companies cannot afford to pay for this solution."

"Pricing varies based on use, and it is not as costly as some competing enterprise solutions."

"I have no information on the exact pricing for IBM InfoSphere DataStage because the solution is usually procured by the clients my company works with, though the pricing is higher compared to other solutions, so many clients choose to go with a different solution rather than IBM InfoSphere DataStage."

"The solution is cheap."

"High-cost of ownership: They could take a page from open source software."

"The pricing depends on the setup. However, we paid $100,000 as a one-time cost for an on-premises setup."

"It is quite expensive."

"Our internal team takes care of group licensing and cost. We don't have individual licenses. We have group licensing at the company level. Usually, IBM doesn't charge anything separately on the licensing side. For storage and everything else, we are paying around $6,000 per month, which is not very high. It includes Linux data storage, execution, and licensing. They're charging $40 for one-hour execution. Based on that, we are spending around $2,000 on the production environment and $1,000 on the lower environment for testing and development-side executions. For the mainframe, we are using the Db2 mainframe database, and we are spending around $1,000 on the Db2 mainframe database as well. All this comes out to be around $6,000. We, however, would like to have some cost reduction."

More IBM InfoSphere DataStage 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

26%

Manufacturing Company

10%

Computer Software Company

Government

Comms Service Provider

11%

Computer Software Company

University

Financial Services Firm

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	23
Midsize Enterprise	5
Large Enterprise	26

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

Questions from the Community

Would you upgrade to more premium versions of IBM InfoSphere DataStage?

My company currently uses the free version of the product, and we are definitely switching to a paid one. We needed a tool that can help us not only integrate our data but use it effectively. For ...

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Is IBM InfoSphere DataStage more difficult to use compared to other tools in the field?

I think the tool may cause some difficulties if you have not used other data integration solutions before. I have worked at companies that used different tools for data integration, and they work ...

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Do you rely on IBM Cloud Paks for your data? Have you utilized this product, or do you use IBM InfoSphere DataStage without it?

IBM Cloud Paks makes a big difference in your data integration. My company has been using it alongside IBM InfoSphere DataStage and while the main product is good on its own, this one truly expands...

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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...

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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

Comparisons

IBM Cloud Pak for Data vs IBM InfoSphere DataStage

Compared 10% of the time

SSIS vs IBM InfoSphere DataStage

Compared 7% of the time

Informatica PowerCenter vs IBM InfoSphere DataStage

Compared 7% of the time

IBM InfoSphere Information Server vs IBM InfoSphere DataStage

Compared 6% of the time

Qlik Talend Cloud vs IBM InfoSphere DataStage

Compared 4% of the time

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Qlik Talend Cloud vs Talend Data Fabric

Compared 9% of the time

Hevo vs Talend Data Fabric

Compared 8% of the time

Azure Data Factory vs Talend Data Fabric

Compared 8% of the time

Denodo vs Talend Data Fabric

Compared 6% of the time

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Product Reports

Buyer's Guide

IBM InfoSphere DataStage

June 2026

Download IBM InfoSphere DataStage product report

Buyer's Guide

Talend Data Fabric

May 2026

Download Talend Data Fabric product report

Overview

IBM InfoSphere DataStage offers powerful ETL capabilities focusing on data transformation and integration, ensuring seamless data processing and management in complex environments. It is particularly valued for handling extensive data volumes with robust transformation features and scalability options.

IBM InfoSphere DataStage is renowned for its strength in data extraction, transformation, and loading, making it a preferred choice for businesses handling large datasets. It provides extensive database connectors, integrates efficiently with existing systems, and facilitates complex data transformations. Users appreciate its scalability, metadata management, and effectiveness in applying business rules. Despite this, areas for improvement include enhanced cloud integration, better error messaging, and expanded connectivity with modern databases. Its pricing scheme and deployment complexity also present considerations for potential users.

What are the key features of IBM InfoSphere DataStage?

ETL Capabilities: Efficiently manages extraction, transformation, and loading of data across different platforms.
Parallel Processing: Processes large data volumes quickly with parallel data handling techniques.
Robust Integration: Seamlessly integrates with a range of databases and existing systems.
Data Transformation: Offers powerful tools for comprehensive data modification and manipulation.
Business Rule Application: Enables the incorporation of sophisticated business rules within data workflows.

What benefits do users highlight in reviews?

High Performance: Maintains quick processing speeds and efficient data handling.
Scalability: Adapts to increased data volumes and workflow loads effectively.
Flexibility: Provides adaptable integration solutions for varied data environments.
Error Logging: Delivers accurate logging to track and resolve issues efficiently.
Impact Analytics: Offers tools to assess data modifications and effects comprehensively.

Businesses in sectors like telecommunications, banking, and insurance commonly implement IBM InfoSphere DataStage for ETL processes. It's used for integrating data from multiple sources into data warehouses, supporting business intelligence initiatives, and managing data quality. Known for efficiently handling integration of mainframes and Oracle databases, it supports complex data projects tailored to industry needs.

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

Dubai Statistics Center, Etisalat Egypt

Information Not Available

Buyer's Guide

IBM InfoSphere DataStage vs. Talend Data Fabric

June 2026

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