Pentaho Data Integration and Analytics vs Talend Data Fabric comparison

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Hitachi Vantara and Qlik are both solutions in the Data Integration category. Hitachi Vantara is ranked #8 with an average rating of 7.6, while Qlik is ranked #32 with an average rating of 8.0. Hitachi Vantara holds a 1.7% mindshare in DI, compared to Qlik’s 0.8% mindshare. Additionally, 95% of Hitachi Vantara users are willing to recommend the solution, compared to 85% of Qlik users who would recommend it.

Pentaho Data Integration an...

Read 61 Pentaho Data Integration and Analytics reviews

8,320 Views
6,573 Comparison Views

95% willing to recommend

Talend Data Fabric

Read 8 Talend Data Fabric reviews

2,688 Views
2,580 Comparison Views

85% willing to recommend

Pentaho Data Integration an...

Talend Data Fabric

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Executive SummaryUpdated on Jun 3, 2026

Pentaho Data Integration and Analytics and Talend Data Fabric are competing in the data management and analytics market. Talend Data Fabric has the upper hand due to its comprehensive feature set, providing significant long-term value.

Features: Pentaho Data Integration and Analytics provides intuitive data integration, robust data transformation tools, and effective data handling and reporting. Talend Data Fabric offers extensive data connectivity options, advanced data quality, and governance features.

Room for Improvement: Pentaho Data Integration could enhance its data quality features, expand data connectivity options, and provide more advanced governance tools. Talend Data Fabric may need improvements in simplifying its deployment process, reducing upfront costs, and enhancing user interface intuitiveness.

Ease of Deployment and Customer Service: Pentaho offers straightforward deployment with solid customer support for seamless integration into existing systems. Talend's deployment is more complex due to its wide-ranging capabilities, but it offers dedicated support to navigate implementation complexities.

Pricing and ROI: Pentaho generally offers a cost-effective solution with quick ROI, appealing to budget-conscious businesses. Talend, while more costly upfront, often provides substantial long-term value that justifies the investment for organizations seeking comprehensive data solutions.

To learn more, read our detailed Pentaho Data Integration and Analytics vs. Talend Data Fabric Report (Updated: September 2026).

Buyer's Guide

Pentaho Data Integration and Analytics 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

Pentaho Data Integration an...

Ranking in Data Integration

8th

Average Rating

8.0

Reviews Sentiment

6.7

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 September 2026, in the Data Integration category, the mindshare of Pentaho Data Integration and Analytics is 1.7%, up from 1.6% compared to the previous year. The mindshare of Talend Data Fabric is 0.8%, down from 0.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration Mindshare Distribution
Product	Mindshare (%)
Pentaho Data Integration and Analytics	1.7%
Talend Data Fabric	0.8%
Other	97.5%

Data Integration

Featured Reviews

Michelle Lawson

Principal Software Engineer at a tech vendor with 10,001+ employees

Streamlines complex data workflows and has supported automated customer payment notifications

I haven't used Pentaho Data Integration and Analytics in a couple of years, so I don't know how it can be improved. I was pretty pleased with it and was self-taught on it, working a lot with their team at various times, but they were surprised that I was able to learn it all by myself. The documentation is not bad, and documentation is the main thing that any product can do to make themselves better because the easier it is to find examples of what you're trying to do improves the learning curve. I think it took me the longest to learn how to do the asynchronous processing and have things wait for other things to finish processing before continuing on in the workflow. I choose 8 out of 10 because the one reason that it's been rejected at T-Mobile is that everything has to go through a provisioning process and has to get approved, meaning the actual code base has to be investigated by T-Mobile before they'll allow us to use tools of that nature. For whatever reason, we just haven't been able to get that approval; I don't know if it's on Pentaho Data Integration and Analytics' side or if it's on our side. The more you can make it easier for companies to feel comfortable that your product is secure, robustly tested and bug-free, and free of any other kind of negative hacks, the more quickly it will get accepted.

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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. 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

"The way it has improved our product is by giving our users the ability to do ad hoc reports, which is very important to our users. We can do predictive analysis on trends coming in for contracts, which is what our product does. The product helps users decide which way to go based on the predictive analysis done by Pentaho. Pentaho is not doing predictions, but reporting on the predictions that our product is doing. This is a big part of our product."

"It has a really friendly user interface, which is its main feature. The process of automating or combining SQL code with some databases and doing the automation is great and really convenient."

"My advice for anybody who is considering this product is if they're looking for any kind of custom transformation, or they're gleaning data from multiple sources and sending it to multiple destinations, I definitely recommend this tool."

"I would say this is the best ETL tool in the market, considering this is open source and ease to use, very nice GUI."

"Developed ETL processes to load a data warehouse has improved our data integration capabilities."

"I find the drag and drop feature in Pentaho Data Integration very useful for integration."

"I can use Python, which is open-source, and I can run other scripts, including Linux scripts. It's user-friendly for running any object-based language. That's a very important feature because we live in a world of open-source."

"We have been able to expose data services through the use of CDA relying on the same database as the reporting tools, thus avoiding inconsistencies among the data shown by reports and data acquired by external systems."

More Pentaho Data Integration and Analytics pros

"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."

"Talend has very good support for big data."

"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."

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

"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."

"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."

More Talend Data Fabric pros

Cons

"Although it is a low-code solution with a graphical interface, often the error messages that you get are of the type that a developer would be happy with. You get a big stack of red text and Java errors displayed on the screen, and less technical people can get intimidated by that. It can be a bit intimidating to get a wall of red error messages displayed. Other graphical tools that are focused at the power user level provide a much more user-friendly experience in dealing with your exceptions and guiding the user into where they've made the mistake."

"A big problem after deploying something that we do in Lumada is with Git. You get a binary file to do a code review. So, if you need to do a review, you have to take pictures of the screen to show each step. That is the biggest bug if you are using Git."

"In the Community edition, it would be nice to have more modules that allow you to code directly within the application. It could have R or Python completely integrated into it, but this could also be because I'm using an older version."

"As far as I remember, not all connectors worked very well. They can add more connectors and more drivers to the process to integrate with more flows."

"I was not happy with the Pentaho Report Designer because of the way it was set up."

"There some steps that should perform better like the json input, but because of the flexibility we at inflow, override it by using scripting steps."

"They could improve the logging generator. Sometimes the error description is so generic that it is not possible to detect the problem."

"Regarding the features, I find many issues using Pentaho Data Integration and Analytics when working with different environments, especially development environments and production environments, where I have faced many issues working with two environments."

More Pentaho Data Integration and Analytics cons

"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."

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

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

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

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

"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."

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

More Talend Data Fabric cons

Pricing and Cost Advice

"I mostly used the open-source version. I didn't work with a license."

"If a company is looking for an ETL solution and wants to integrate it with their tech stack but doesn't want to spend a bunch of money, Pentaho is a good solution"

"Sometimes we provide the licenses or the customer can procure their own licenses. Previously, we had an enterprise license. Currently, we are on a community license as this is adequate for our needs."

"The solution reduced our ETL development time by a lot because a whole project used to take about a month to get done previously. After having Lumada, it took just a week. For a big company in Brazil, it saves a team at least $10,000 a month."

"There was a cost analysis done and Pentaho did favorably in terms of cost."

"I use it because it is free. I download from their page for free. I don't have to pay for a license. With other tools, I have to pay for the licenses. That is why I use Pentaho."

"We are using the Community Edition. We have been trying to use and sell the Enterprise version, but that hasn't been possible due to the budget required for it."

"It does seem a bit expensive compared to the serverless product offering. Tools, such as Server Integration Services, are "almost" free with a database engine. It is comparable to products like Alteryx, which is also very expensive."

More Pentaho Data Integration and Analytics 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%

Outsourcing Company

11%

Construction Company

Educational Organization

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	18
Midsize Enterprise	17
Large Enterprise	32

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

Questions from the Community

Which ETL tool would you recommend to populate data from OLTP to OLAP?

Hi Rajneesh, yes here is the feature comparison between the community and enterprise edition : https://www.hitachivantara.com/en-us/pdf/brochure/leverage-open-source-benefits-with-assurance-of-hita...

See all answers

What do you think can be improved with Hitachi Lumada Data Integrations?

In my opinion, the reporting side of this tool needs serious improvements. In my previous company, we worked with Hitachi Lumada Data Integration and while it does a good job for what it’s worth, ...

See all answers

What do you use Hitachi Lumada Data Integrations for most frequently?

My company has used this product to transform data from databases, CSV files, and flat files. It really does a good job. We were most satisfied with the results in terms of how many people could us...

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...

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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

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Product Reports

Buyer's Guide

Pentaho Data Integration and Analytics

September 2026

Pentaho Data Integration and Analytics report

Download Pentaho Data Integration and Analytics product report

Buyer's Guide

Talend Data Fabric

August 2026

Download Talend Data Fabric product report

Also Known As

Hitachi Lumada Data Integration, Kettle, Pentaho Data Integration

No data available

Overview

Pentaho Data Integration and Analytics offers an intuitive platform for data workflows, enabling users to easily manage ETL processes across diverse data formats, ensuring seamless automation and development.

With its drag-and-drop interface, Pentaho allows for efficient ETL workflows without extensive coding. It supports a multitude of data formats and sources such as SQL, NoSQL, Hadoop, CSV, and JSON. Advanced features like metadata injection and API integration enable seamless automation. However, improvements in big data performance, better cloud service integration, and enhanced real-time processing capabilities can enhance user experience. Additional connectors and improved documentation are sought after by many. Providing support for more programming languages and optimizing memory usage also presents opportunities for enhancement.

What are the key features of Pentaho Data Integration and Analytics?

Drag-and-Drop Interface: Simplifies building workflows without coding.
Broad Data Support: Accommodates SQL, NoSQL, Hadoop, CSV, and JSON.
Advanced Automation: Leverages metadata injection and API integration.
Cost-Effectiveness: Offers value with comprehensive big data support.

What benefits should be evaluated in Pentaho reviews?

Versatility: Supports both on-premises and cloud solutions.
Data Integration: Facilitates seamless connection of disparate data sources.
Transparency: Enhances data management and reporting.
Scalability: Adapts to the growing data needs of organizations.

Pentaho is employed across finance, healthcare, and retail industries for ETL processes. It's instrumental in integrating data from ERP, SAP systems, Excel, and APIs to develop comprehensive reports and data models. Companies rely on its capabilities for both on-premises and cloud deployments, improving data transparency and management.

Hitachi Vantara

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

66Controls, Providential Revenue Agency of Ro Negro, NOAA Information Systems, Swiss Real Estate Institute

Information Not Available

Buyer's Guide

Pentaho Data Integration and Analytics vs. Talend Data Fabric

September 2026

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