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

"We have a huge amount of data that needs to be cleaned and made more valuable for our organization, and this Data Integration helps us to achieve that goal."

"We can schedule job execution in the BA Server, which is the front-end product we're using right now. That scheduling interface is nice."

"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."

"The solution is easy to set up, very intuitive, clear to understand and easy to maintain."

"From my perspective I don't see the difference, we can do almost everything with Pentaho Kettle and if we need a little extra we are tech guys, we solve it."

"If you are looking to integrate unstructured or semi-structured datasets with some parallelization, choose this tool."

"Lumada has allowed us to interact with our employees more effectively and compensate them properly. One of the cool things is that we use it to generate commissions for our salespeople and bonuses for our warehouse people. It allows us to get information out to them in a timely fashion. We can also see where they're at and how they're doing."

"With this solution, instead of it taking a week, it was reduced to an afternoon, or about three hours."

More Pentaho Data Integration and Analytics pros

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

"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."

"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."

"Talend has very good support for big data."

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

"The initial setup is very easy."

"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

"I would like to see support for some additional cloud sources. It doesn't support Azure, for example. I was trying to do a PoC with Azure the other day but it seems they don't support it."

"I work with the Community Edition, therefore I do not have support. There was an issue that I could not resolve with community support."

"Should provide additional control for the data warehouse"

"The product itself is great, the biggest downside in my opinion is that it is hard to find (hire) people with expertise."

"The technical support does not reply in a timely manner. The support they have in place does not work very well."

"If you're working with a larger data set, I'm not so sure it would be the best solution; the larger things got the slower it was and it was kind of buggy sometimes."

"Lumada could have more native connectors with other vendors, such as Google BigQuery, Microsoft OneDrive, Jira systems, and Facebook or Instagram. We would like to gather data from modern platforms using Lumada, which is a better approach. As a comparison, if you open Power BI to retrieve data, then you can get data from many vendors with cloud-native connectors, such as Azure, AWS, Google BigQuery, and Athena Redshift. Lumada should have more native connectors to help us and facilitate our job in gathering information from these new modern infrastructures and tools."

"Its basic functionality doesn't need a whole lot of change. There could be some improvement in the consistency of the behavior of different transformation steps. The software did start as open-source and a lot of the fundamental, everyday transformation steps that you use when building ETL jobs were developed by different people. It is not a seamless paradigm. A table input step has a different way of thinking than a data merge step."

More Pentaho Data Integration and Analytics cons

"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."

"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 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."

"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."

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

More Talend Data Fabric cons

Pricing and Cost Advice

"There is a good open source option (Community Edition)."

"The price of the regular version is not reasonable and it should be lower."

"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"

"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."

"The pricing has been pretty good. I'm used to using everything open-source or freeware-based. I understand that organizations need to make sure that the solutions are secure, and that's basically where I hit a roadblock in my current organization. They needed to ensure that we had a license and we had a secure way of accessing it so that no outside parties could get access to our data, but in terms of pricing, considering how much other teams are spending on cloud solutions or even their existing solutions, its price point is pretty good. At this time, there are no additional costs. We just have the licensing fees."

"I primarily work on the Community Version, which is available to use free of charge."

"I think Lumada's price is fair compared to some of the others, like BusinessObjects, which is was the other thing that I used at my previous job. BusinessObject's price was more reasonable before SAP acquired it. They jacked the price up significantly. Oracle's OBIEE tool was also prohibitively expensive."

"When we first started with it, it was much cheaper. It has gone up drastically, especially since Hitachi bought out Pentaho."

More Pentaho Data Integration and Analytics 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

13%

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...

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

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Product Reports

Buyer's Guide

Pentaho Data Integration and Analytics

August 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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