Pentaho Data Integration and Analytics vs Talend Data Fabric comparison

Hitachi Vantara and Qlik are both solutions in the Data Integration category. Hitachi Vantara is ranked #8 with an average rating of 7.8, while Qlik is ranked #36 with an average rating of 7.0. 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

6,225 Views
4,980 Comparison Views

95% willing to recommend

Talend Data Fabric

Read 8 Talend Data Fabric reviews

2,188 Views
2,100 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: June 2026).

Buyer's Guide

Pentaho Data Integration and Analytics 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

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

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 Pentaho Data Integration and Analytics is 1.7%, down from 1.7% 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 (%)
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 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

"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."

"It's my understanding that the product can scale."

"It is a very good tool if you need to work with data."

"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."

"We use Lumada’s ability to develop and deploy data pipeline templates once and reuse them. This is very important. When the entire pipeline is automated, we do not have any issues in respect to deployment of code or with code working in one environment but not working in another environment. We have saved a lot of time and effort from that perspective because it is easy to build ETL pipelines."

"It allows for very quick development due to the intuitive interface."

"Pentaho Data Integration and Analytics positively impacted my organization by organizing data that was scattered across many different databases and APIs, reducing a lot of manual work and centralizing it into one data warehouse."

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."

"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."

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

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

"The initial setup is very easy."

"Talend has very good support for big data."

"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."

More Talend Data Fabric pros

Cons

"The stability is not great, especially when you start patching it a lot because things get broken."

"Overall, our Hitachi solution was quite good, but over the last couple of years, we have been trying to move away from the product due to a number of things."

"Should provide additional control for the data warehouse"

"The User Console, aka workspace, and the development of dashboards work but they require some programmer skills, which means continuous application management on behalf of the IT department."

"I would like to have more languages/scripts supported in user-defined classes."

"Since Hitachi took over, I don't feel that the documentation is as good within the solution. It used to have very good help built right in."

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

"In terms of improvements, while creating on a remote service, we face challenges related to limited memory, which calls for optimization."

More Pentaho Data Integration and Analytics 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."

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

"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."

"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."

"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."

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

More Talend Data Fabric cons

Pricing and Cost Advice

"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"

"You need to go through the paid version to have Hitachi Lumada specialized support. However, if you are using the free version, then you will have only the community support. You will depend on the releases from Hitachi to solve some problem or questions that you have, such as bug fixes. You will need to wait for the newest versions or releases to solve these types of problems."

"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."

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

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

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

"We did a two or three-year deal the last time we did it. As compared to other solutions, at least so far in our experience, it has been very affordable. The licensing is by component. So, you need to make sure you only license the components that you really intend to use. I am not sure if we have relicensed after the Hitachi acquisition, but previously, multi-year renewals resulted in a good discount. I'm not sure if this is still the case. We've had the full suite for a lot of years, and there is just the initial cost. I am not aware of any additional costs."

"I believe the pricing of the solution is more affordable than the competitors"

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

15%

Educational Organization

Construction Company

Government

Comms Service Provider

11%

University

10%

Financial Services Firm

Computer Software 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?

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

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Compared 9% of the time

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Product Reports

Buyer's Guide

Pentaho Data Integration and Analytics

May 2026

Pentaho Data Integration and Analytics report

Download Pentaho Data Integration and Analytics product report

Buyer's Guide

Talend Data Fabric

May 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

June 2026

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