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

"As a result of one of the projects that we did in the Middle East, we achieved the main goal of fully digitalizing their population census."

"All you need is a balance of experienced users and new trainees to get going."

"The area where Lumada has helped us is in the commercial area. There are many extractions to compose reports about our sales team performance and production steps. Since we are using Lumada to gather data from each industry in each country. We can get data from Argentina, Chile, Brazil, and Colombia at the same time. We can then concentrate and consolidate it in only one place, like our data warehouse. This improves our production performance and need for information about the industry, production data, and commercial data."

"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."

"Previously, I had three people to collect all the data and integrate all Excel spreadsheets, and it took them a day or two, but now I can do this work in about 15 minutes."

"One of the most valuable features is the ability to create many API integrations. I'm always working with advertising agents and using Facebook and Instagram to do campaigns. We use Pentaho to get the results from these campaigns and to create dashboards to analyze the results."

"It's very simple compared to other products out there."

"When we get a question from our CEO that needs a response and that requires a little bit of legwork of pulling in from various market data, our own in-house repositories, and everything else, it allows me to arrive at the solutions much faster than having to do it through scripting in Python, coding, or anything else."

More Pentaho Data Integration and Analytics pros

"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 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."

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

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

"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."

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

"Talend has very good support for big data."

More Talend Data Fabric pros

Cons

"I could not connect to our Hadoop environment in an easy and flexible way, and it was important to scale our data warehouse."

"I experience difficulties when handling millions of rows, as the data movement from one source to another becomes challenging."

"Some old plugins, after a long time, still doesn’t work properly enough."

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

"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."

"The product needs more plugins."

"Its UI is probably a bit too confusing for that level of user, so it doesn't allow us to get the tool as widely distributed across the organization to non-technical users as much as we would like."

"I also found, in my case, that the statistical data input wasn't working (.sas7bdat input wasn't working)."

More Pentaho Data Integration and Analytics cons

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

"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."

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

"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."

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

"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."

More Talend Data Fabric cons

Pricing and Cost Advice

"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."

"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 don't need the Enterprise Edition, you can go with the Community Edition. That way you can use it for free and, for free, it's a pretty good tool to use."

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

"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."

"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."

"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."

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

16%

Educational Organization

Construction 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	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...

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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

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Compared 9% of the time

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Product Reports

Buyer's Guide

Pentaho Data Integration and Analytics

June 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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