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 2.0% 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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1,035 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: June 2025).

Buyer's Guide

Pentaho Data Integration and Analytics vs. dbt

June 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 July 2025, in the Data Integration category, the mindshare of dbt is 2.0%, 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."

"One of the valuable features is the ability to use PL/SQL statements inside the data transformations and jobs."

"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."

"It has improved our data integration capabilities."

"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."

"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."

"The product is user-friendly and intuitive"

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

"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."

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Cons

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

"Parallel execution could be better in Pentaho. It's very simple but I don't think it works 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."

"The reporting definitely needs improvement. There are a lot of general, basic features that it doesn't have. A simple feature you would expect a reporting tool to have is the ability to search the repository for a report. It doesn't even have that capability. That's been a feature that we've been asking for since the beginning and it hasn't been implemented yet."

"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."

"The product needs more plugins."

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

"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."

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

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Pricing and Cost Advice

"The solution’s pricing is affordable."

"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."

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

"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."

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

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

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

"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."

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Top Industries

By visitors reading reviews

Financial Services Firm

13%

Insurance Company

12%

Healthcare Company

Manufacturing Company

Financial Services Firm

21%

Computer Software Company

14%

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

SSIS vs dbt

Compared 29% of the time

Informatica PowerCenter vs dbt

Compared 14% of the time

Oracle Data Integrator (ODI) vs dbt

Compared 7% of the time

Tobiko vs dbt

Compared 7% of the time

More dbt Competitors

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

Compared 16% of the time

SSIS vs Pentaho Data Integration and Analytics

Compared 11% of the time

Informatica PowerCenter 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

June 2025

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Buyer's Guide

Pentaho Data Integration and Analytics

June 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

June 2025

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