Pentaho Data Integration and Analytics vs dbt comparison

dbt Labs and Hitachi Vantara are both solutions in the Data Integration category. dbt Labs is ranked #36 with an average rating of 7.5, while Hitachi Vantara is ranked #19 with an average rating of 7.7. dbt Labs holds a 2.1% mindshare in DI, compared to Hitachi Vantara’s 1.8% mindshare. Additionally, 100% of dbt Labs users are willing to recommend the solution, compared to 94% of Hitachi Vantara users who would recommend it.

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100% willing to recommend

Pentaho Data Integration an...

Read 53 Pentaho Data Integration and Analytics reviews

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1,932 Comparison Views

94% willing to recommend

dbt

Pentaho Data Integration an...

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Executive SummaryUpdated on Dec 19, 2024

Pentaho Data Integration and Analytics and dbt compete in the data integration and transformation sector. While both have unique strengths, dbt may have an advantage in environments demanding sophisticated analysis due to its advanced analytics features.

Features: Pentaho Data Integration and Analytics supports comprehensive data preparation, blending, and reporting, making it versatile in data handling. It offers robust data transformation capabilities. dbt focuses on SQL-based data modeling, version control, and testing, highlighting its strength in modern data transformation and streamlined analytics.

Ease of Deployment and Customer Service: Pentaho supports a traditional deployment model with options for on-premises or cloud, complemented by a dedicated support system. In contrast, dbt prioritizes a cloud-native approach, facilitating easier scalability and setup, making its integration with cloud-native environments seamless.

Pricing and ROI: Pentaho Data Integration and Analytics generally involve higher upfront costs with tailored solutions, potentially delivering strong ROI for larger setups. dbt's transparent pricing and lower initial investment make it appealing for quick cloud integration and value realization, with its accessible pricing model catering to those seeking immediate cloud transformation benefits.

To learn more, read our detailed Pentaho Data Integration and Analytics vs. dbt Report (Updated: July 2025).

Buyer's Guide

Pentaho Data Integration and Analytics vs. dbt

July 2025

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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

dbt

Ranking in Data Integration

36th

Average Rating

7.6

Reviews Sentiment

7.4

Number of Reviews

Ranking in other categories

No ranking in other categories

Pentaho Data Integration an...

Ranking in Data Integration

19th

Average Rating

8.0

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of August 2025, in the Data Integration category, the mindshare of dbt is 2.1%, up from 0.1% compared to the previous year. The mindshare of Pentaho Data Integration and Analytics is 1.8%, up from 0.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration

Featured Reviews

Ninad Magdum

Senior Machine Learning Engineer at Happiest Minds Technologies

Developer-friendly and easy to use, but doesn't have many optimization options

We also use stored procedures and Talend. They are not replaced by dbt completely. We use dbt only for the transformation process. My recommendations would depend on an organization’s requirements and problems. I will recommend the tool to others. The product is developer-friendly. However, it is still dependent on the data warehouse for big data and optimization. It's just a SQL transformation tool. It doesn't have a lot of optimization options like Spark. It's a good tool for Snowflake. If it were only for Snowflake, I would have rated it an eight out of ten. However, there are other data platforms. Overall, I rate the tool a six and a half out of ten.

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Aqeel UR Rehman

BI Analyst at a computer software company with 51-200 employees

Transform data efficiently with rich features but there's challenges with large datasets

Currently, I am using Pentaho Data Integration for transforming data and then loading it into different platforms. Sometimes, I use it in conjunction with AWS, particularly S3 and Redshift, to execute the copy command for data processing Pentaho Data Integration is easy to use, especially when…

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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 product is developer-friendly."

"The amount of data that it loads and processes is good."

"Sometimes, it took a whole team about two weeks to get all the data to prepare and present it. After the optimization of the data, it took about one to two hours to do the whole process. Therefore, it has helped a lot when you talk about money, because it doesn't take a whole team to do it, just one person to do one project at a time and run it when you want to run it. So, it has helped a lot on that side."

"The solution has a free to use community version."

"Its drag-and-drop interface lets me and my team implement all the solutions that we need in our company very quickly. It's a very good tool for that."

"We're using the PDI and the repository function, and they give us the ability to easily generate reporting and output, and to access data. We also like the ability to schedule."

"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."

"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."

"I can create faster instructions than writing with SQL or code. Also, I am able to do some background control of the data process with this tool. Therefore, I use it as an ELT tool. I have a station area where I can work with all the information that I have in my production databases, then I can work with the data that I created."

More Pentaho Data Integration and Analytics pros

Cons

"The solution must add more Python-based implementations."

"I would like to see improvement when it comes to integrating structured data with text data or anything that is unstructured. Sometimes we get all kinds of different files that we need to integrate into the warehouse."

"The web interface is rusty, and the biggest problem with Pentaho is debugging and troubleshooting. It isn't easy to build the pipeline incrementally. At least in our case, it's hard to find a way to execute step by step in the debugging mode."

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

"I have been facing some difficulties when working with large datasets. It seems that when there is a large amount of data, I experience memory errors."

"Should provide additional control for the data warehouse"

"I would like to see improvements made for real-time data processing."

"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."

"While Pentaho Data Integration is very friendly, it is not very useful when there isn't a lot of data to handle."

More Pentaho Data Integration and Analytics cons

Pricing and Cost Advice

"The solution’s pricing is affordable."

"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."

"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 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."

"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 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."

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

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

More Pentaho Data Integration and Analytics pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

14%

Insurance Company

12%

Computer Software Company

Manufacturing Company

Financial Services Firm

18%

Computer Software Company

12%

Government

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

What is your experience regarding pricing and costs for dbt?

It is cheap because dbt is open source. If you compare the pay-per-service of Dbt with the open source option you can manage. We are managing the solution, when we were acquiring service from them....

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What needs improvement with dbt?

SQL statements that beyond DML, are not possible. Currently, they are not possible in Dbt. Having more features in SQL statements will support us. Another issue is the terms of data ingestion becau...

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What is your primary use case for dbt?

We use the solution to deal with data transformations inside different organizations.

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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...

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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, ...

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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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Comparisons

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Compared 28% of the time

Informatica PowerCenter vs dbt

Compared 13% of the time

Oracle Data Integrator (ODI) vs dbt

Compared 7% of the time

Tobiko vs dbt

Compared 7% of the time

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Oracle Data Integrator (ODI) vs Pentaho Data Integration and Analytics

Compared 16% of the time

Informatica PowerCenter vs Pentaho Data Integration and Analytics

Compared 10% of the time

SSIS vs Pentaho Data Integration and Analytics

Compared 10% of the time

Talend Open Studio vs Pentaho Data Integration and Analytics

Compared 9% of the time

Azure Data Factory vs Pentaho Data Integration and Analytics

Compared 8% of the time

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Product Reports

Buyer's Guide

Data Integration

July 2025

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Buyer's Guide

Pentaho Data Integration and Analytics

July 2025

Pentaho Data Integration and Analytics report

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Also Known As

No data available

Hitachi Lumada Data Integration, Kettle, Pentaho Data Integration

Overview

dbt is a transformational tool that empowers data teams to quickly build trusted data models, providing a shared language for analysts and engineering teams. Its flexibility and robust feature set make it a popular choice for modern data teams seeking efficiency.

Designed to integrate seamlessly with the data warehouse, dbt enables analytics engineers to transform raw data into reliable datasets for analysis. Its SQL-centric approach reduces the learning curve for users familiar with it, allowing powerful transformations and data modeling without needing a custom backend. While widely beneficial, dbt could improve in areas like version management and support for complex transformations out of the box.

What are the most valuable features of dbt?

SQL-Based Development: Facilitates transformations using SQL, streamlining the data modeling process.
Modularity: Encourages reusable components, making projects easier to manage and scale.
Version Control: Integrates with version control systems to track changes and collaborate effectively.
Testing Framework: Ensures data quality through automated tests, increasing trust in data outputs.

What benefits should you expect from using dbt?

Efficiency: Cuts down data processing times, allowing faster access to insights.
Collaboration: Promotes teamwork through shared data models and a common working language.
Scalability: Supports growing data demands by transforming complex data more flexibly and modularly.
Transparency: Provides clear documentation and lineage tracking, aiding in troubleshooting and understanding.

In the finance industry, dbt helps in cleansing and preparing transactional data for analysis, leading to more accurate financial reporting. In e-commerce, it empowers teams to rapidly integrate and analyze customer behavior data, optimizing marketing strategies and improving user experience.

dbt Labs

Pentaho Data Integration stands as a versatile platform designed to cater to the data integration and analytics needs of organizations, regardless of their size. This powerful solution is the go-to choice for businesses seeking to seamlessly integrate data from diverse sources, including databases, files, and applications. Pentaho Data Integration facilitates the essential tasks of cleaning and transforming data, ensuring it's primed for meaningful analysis. With a wide array of tools for data mining, machine learning, and statistical analysis, Pentaho Data Integration empowers organizations to glean valuable insights from their data. What sets Pentaho Data Integration apart is its maturity and a vibrant community of users and developers, making it a reliable and cost-effective option. Pentaho Data Integration offers a range of features, including a comprehensive ETL toolkit, data cleaning and transformation capabilities, robust data analysis tools, and seamless deployment options for data integration and analytics solutions, making it a go-to solution for organizations seeking to harness the power of their data.

Hitachi Vantara

Sample Customers

Information Not Available

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

Buyer's Guide

Pentaho Data Integration and Analytics vs. dbt

July 2025

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