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 #31 with an average rating of 7.5, while Hitachi Vantara is ranked #18 with an average rating of 7.7. dbt Labs holds a 2.1% mindshare in DI, compared to Hitachi Vantara’s 1.7% mindshare. Additionally, 100% of dbt Labs users are willing to recommend the solution, compared to 94% of Hitachi Vantara users who would recommend it.

dbt

Read 2 dbt reviews

1,206 Views
1,194 Comparison Views

100% willing to recommend

Pentaho Data Integration an...

Read 53 Pentaho Data Integration and Analytics reviews

2,447 Views
1,884 Comparison Views

94% willing to recommend

dbt

Pentaho Data Integration an...

Comparison Buyer's Guide

Download the report

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: September 2025).

Buyer's Guide

Pentaho Data Integration and Analytics vs. dbt

September 2025

Download the complete report

Helped 872,778 peers since 2012

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

31st

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

18th

Average Rating

8.0

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of October 2025, in the Data Integration category, the mindshare of dbt is 2.1%, up from 0.3% compared to the previous year. The mindshare of Pentaho Data Integration and Analytics is 1.7%, up from 1.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration Market Share Distribution
Product	Market Share (%)
Pentaho Data Integration and Analytics	1.7%
dbt	2.1%
Other	96.2%

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.

Read full review

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…

Read full review

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 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."

"Provides a good open source option."

"I find the drag and drop feature in Pentaho Data Integration very useful for integration."

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

"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."

"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 also haven't had to create any custom Java code. Almost everywhere it's SQL, so it's done in the pipeline and the configuration. That means you can offload the work to people who, while they are not less experienced, are less technical when it comes to logic."

"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."

More Pentaho Data Integration and Analytics pros

Cons

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

"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."

"I would like to see more improvements with AS400 DB2."

"I was not happy with the Pentaho Report Designer because of the way it was set up. There was a zone and, under it, another zone, and under that another one, and under that another one. There were a lot of levels and places inside the report, and it was a little bit complicated. You have to search all these different places using a mouse, clicking everywhere... each report is coded in a binary file... You cannot search with a text search tool..."

"Some of the scheduling features about Lumada drive me buggy. The one issue that always drives me up the wall is when Daylight Savings Time changes. It doesn't take that into account elegantly. Every time it changes, I have to do something. It's not a big deal, but it's annoying."

"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."

"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 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."

"Should provide additional control for the data warehouse"

More Pentaho Data Integration and Analytics cons

Pricing and Cost Advice

"The solution’s pricing is affordable."

"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)."

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

"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 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"

"I use it because it is free. I download from their page for free. I don't have to pay for a license. With other tools, I have to pay for the licenses. That is why I use Pentaho."

"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

See which vendors are best for you

Use our free recommendation engine to learn which Data Integration solutions are best for your needs.

See recommendations

872,778 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

14%

Insurance Company

11%

Manufacturing Company

Outsourcing Company

Financial Services Firm

18%

Computer Software Company

11%

Government

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	17
Midsize Enterprise	16
Large Enterprise	25

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....

See all answers

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...

See all answers

What is your primary use case for dbt?

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

See all answers

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

Comparisons

SSIS vs dbt

Compared 24% of the time

Informatica PowerCenter vs dbt

Compared 10% of the time

Oracle Data Integrator (ODI) vs dbt

Compared 8% of the time

Tobiko vs dbt

Compared 8% of the time

StreamSets vs dbt

Compared 2% of the time

More dbt Competitors

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

Compared 13% of the time

Informatica PowerCenter vs Pentaho Data Integration and Analytics

Compared 10% of the time

SSIS vs Pentaho Data Integration and Analytics

Compared 9% of the time

SnapLogic vs Pentaho Data Integration and Analytics

Compared 9% of the time

Talend Open Studio vs Pentaho Data Integration and Analytics

Compared 8% of the time

More Pentaho Data Integration and Analytics Competitors

Product Reports

Buyer's Guide

Data Integration

October 2025

Download dbt product report

Buyer's Guide

Pentaho Data Integration and Analytics

October 2025

Pentaho Data Integration and Analytics report

Download Pentaho Data Integration and Analytics product report

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

September 2025

Free Report: Pentaho Data Integration and Analytics vs. dbt

Find out what your peers are saying about Pentaho Data Integration and Analytics vs. dbt and other solutions. Updated: September 2025.

DOWNLOAD NOW

872,778 professionals have used our research since 2012.

See our Pentaho Data Integration and Analytics vs. dbt report.

See our list of best Data Integration vendors.

We monitor all Data Integration reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.