Azure Data Factory vs Pentaho Data Integration and Analytics comparison

Azure Data Factory vs. Pentaho Data Integration and Analytics

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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:

ROI

Sentiment score

5.5

Users praise Azure Data Factory for improved ROI through cost savings, enhanced integration, and increased operational efficiency and satisfaction.

Sentiment score

7.1

Pentaho streamlines data integration, reducing costs and development time, with savings up to $75,000 annually and improved efficiency.

Our stakeholders and clients have expressed satisfaction with Azure Data Factory's efficiency and cost-effectiveness.

Deena Thayalan

Data Engineer at Vthinktechnologies

For more quotes and insights, download the Azure Data Factory report

I have seen a return on investment; my team was able to stay extremely small even though we had a lot of data integrations with many companies.

Michelle Lawson

Principal Software Engineer at a tech vendor with 10,001+ employees

I can testify to the return on investment with metrics regarding time saved; we have increased our efficiency by about 20 to 30 percent due to the swift migration processes facilitated by the tool.

Data Integration Developer at a tech services company with 1,001-5,000 employees

I have noticed a return on investment with Pentaho Data Integration and Analytics in terms of time savings and staff reduction.

For more quotes and insights, download the Pentaho Data Integration and Analytics report

Data Analyst at Telefonica Digital

Customer Service

Sentiment score

6.3

Azure Data Factory support is mixed; praised for responsiveness and documentation, but some find it slow and inadequate.

Sentiment score

5.1

Users find community resources and forums helpful for Pentaho support, but complex issues sometimes require paid assistance.

On a scale of one to ten, I would rate the technical support as nine.

Hafiz Abdul Mannan

Senior Consultant Oracle Technologies at a tech vendor with 10,001+ employees

The technical support from Microsoft is rated an eight out of ten.

Chief Analytics Officer at Idiro Analytics

The technical support is responsive and helpful

For more quotes and insights, download the Azure Data Factory report

Sr. Technical Architect at Hexaware Technologies Limited

24/7 assistance is available for the Enterprise Edition.

Jayakrishnanmg MG

Data architect at a tech vendor with 10,001+ employees

take the time to understand our business requirements, offering appropriate recommendations.

For more quotes and insights, download the Pentaho Data Integration and Analytics report

Data Integration Developer at a tech services company with 1,001-5,000 employees

Communication with the vendor is challenging

Jefferson Hernandez

Data Architecture and Engineering Specialist at coprocenva

Scalability Issues

Sentiment score

7.4

Azure Data Factory is praised for its scalability and flexibility, despite some integration issues in older tiers.

Sentiment score

7.2

Pentaho Data Integration scales effectively for large datasets, though massive environments may challenge performance without cloud deployment.

Azure Data Factory is highly scalable.

For more quotes and insights, download the Azure Data Factory report

Chief Analytics Officer at Idiro Analytics

I did not experience scalability issues.

SubrataDey

Principal Data Engineer at Oracle

It can be scaled well until you reach a point where you need to perform a lot of operations, and the issue arises when it runs out of memory to handle some data.

reviewer2787603

Data engineer at a educational organization with 1,001-5,000 employees

Its ability to scale horizontally in cloud-native architectures or for massive real-time processing is limited.

For more quotes and insights, download the Pentaho Data Integration and Analytics report

Data Analyst at Telefonica Digital

Pentaho Data Integration handles larger datasets better.

Jefferson Hernandez

Data Architecture and Engineering Specialist at coprocenva

Stability Issues

Sentiment score

7.7

Azure Data Factory is stable and dependable, despite occasional connection issues and challenges with SQL query optimization.

Sentiment score

7.3

Pentaho Data Integration's stability varies, with reliability for small tasks but struggles with massive data and occasional bugs.

The solution has a high level of stability, roughly a nine out of ten.

For more quotes and insights, download the Azure Data Factory report

Chief Analytics Officer at Idiro Analytics

I have been using Azure Data Factory for a very long time, and I did not find too many issues.

SubrataDey

Principal Data Engineer at Oracle

Performance issues arise due to reliance on a flowchart-based mechanism instead of scripts, which can lead to longer execution times.

Jayakrishnanmg MG

Data architect at a tech vendor with 10,001+ employees

I find that version 3.1 is the most stable version I have ever used.

Alberto Pedro

Founder-CEO at Ubuntu Analytica

It's pretty stable, however, it struggles when dealing with smaller amounts of data.

Jefferson Hernandez

Data Architecture and Engineering Specialist at coprocenva

For more quotes and insights, download the Pentaho Data Integration and Analytics report

Room For Improvement

Azure Data Factory users experience setup complexity, connectivity issues, and seek improved performance, automation, and integration with other platforms.

Pentaho Data Integration needs improved performance, scalability, cloud integration, real-time processing, updated interface, and better documentation and support.

The ability to handle the largest volumes of data is another concern; if I have to manage more than one terabyte of data every day, I am not comfortable dealing with Azure Data Factory and had to switch to Oracle Data Integrators (ODI) because it lacks performance features.

Hafiz Abdul Mannan

Senior Consultant Oracle Technologies at a tech vendor with 10,001+ employees

Incorporating more dedicated API sources to specific services like HubSpot CRM or Salesforce would be beneficial.

Chief Analytics Officer at Idiro Analytics

Sometimes, the compute fails to process data if there is a heavy load suddenly, and it doesn't scale up automatically.

For more quotes and insights, download the Azure Data Factory report

Sr. Technical Architect at Hexaware Technologies Limited

We should also explore more effective partitioning for parallel processing and fine-tuning database connections to reduce load times and improve ETL speed.

Data Integration Developer at a tech services company with 1,001-5,000 employees

Pentaho Data Integration and Analytics can be improved by working with different environments, specifically the possibility to change the variables, meaning I write my variables only once and can change them for different environments such as production or development.

Alberto Pedro

Founder-CEO at Ubuntu Analytica

Pentaho Data Integration and Analytics could have real-time processing and automatic alerting, having alerts or automatic notifications when a job fails or when certain data doesn't meet certain rules.

For more quotes and insights, download the Pentaho Data Integration and Analytics report

Data Analyst at Telefonica Digital

Setup Cost

Azure Data Factory provides cost-effective, usage-based pricing suitable for various budgets, with expenses depending on data volume and services.

Pentaho provides cost-effective data integration and analytics with a free Community Edition and a competitively priced Enterprise Edition.

The pricing is cost-effective.

Chief Analytics Officer at Idiro Analytics

It is considered cost-effective.

For more quotes and insights, download the Azure Data Factory report

Sr. Technical Architect at Hexaware Technologies Limited

I use the community version of Pentaho Data Integration and Analytics, and I do not need additional costs.

JuanCarlosMartinezLara

Project Manager at Laberit

The setup cost was minimal, and the pricing experience was pretty good.

reviewer2787603

Data engineer at a educational organization with 1,001-5,000 employees

The company covered it and they had no problem paying for it because they saw that it was cost-effective in terms of performance afterwards.

For more quotes and insights, download the Pentaho Data Integration and Analytics report

Data Analyst at Telefonica Digital

Valuable Features

Azure Data Factory offers scalable ETL solutions with user-friendly interface, seamless Azure integration, robust orchestration, and effective dataset handling.

Pentaho Data Integration is user-friendly, versatile, and integrates well with data sources, supporting automation and minimal coding for efficiency.

It connects to different sources out-of-the-box, making integration much easier.

For more quotes and insights, download the Azure Data Factory report

Sr. Technical Architect at Hexaware Technologies Limited

The platform excels in handling major datasets, particularly when working with Power BI for reporting purposes.

Deena Thayalan

Data Engineer at Vthinktechnologies

Regarding the integration feature in Azure Data Factory, the integration part is excellent; we have major source connectors, so we can integrate the data from different data sources and also perform basic transformation while transforming, which is a great feature in Azure Data Factory.

KandaswamyMuthukrishnan

Director at a computer software company with 1,001-5,000 employees

Pentaho Data Integration and Analytics has positively impacted my organization because it meant we didn't have to write a lot of custom API back-end processing logic; it did the majority of that heavy lifting for us.

Michelle Lawson

Principal Software Engineer at a tech vendor with 10,001+ employees

It automates the data workflow, including extraction, cleansing, and loading into warehouses for BI reporting purposes, while also removing duplicates, validating data, and standardizing formats, enabling real-time decision-making.

For more quotes and insights, download the Pentaho Data Integration and Analytics report

Data Integration Developer at a tech services company with 1,001-5,000 employees

Pentaho Data Integration and Analytics has positively impacted my organization because it is easier to use, and my knowledge about this work facilitates the translation from the source to my final system.

JuanCarlosMartinezLara

Project Manager at Laberit

Categories and Ranking

Azure Data Factory

Ranking in Data Integration

4th

Average Rating

8.0

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

Cloud Data Warehouse (5th)

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

Mindshare comparison

As of June 2026, in the Data Integration category, the mindshare of Azure Data Factory is 2.3%, down from 8.1% compared to the previous year. The mindshare of Pentaho Data Integration and Analytics is 1.7%, down from 1.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration Mindshare Distribution
Product	Mindshare (%)
Azure Data Factory	2.3%
Pentaho Data Integration and Analytics	1.7%
Other	96.0%

Data Integration

Featured Reviews

KandaswamyMuthukrishnan

Director at a computer software company with 1,001-5,000 employees

Integrates diverse data sources and streamlines ETL processes effectively

Regarding potential areas of improvement for Azure Data Factory, there is a need for better data transformation, especially since many people are now depending on DataBricks more for connectivity and data integration. Azure Data Factory should consider how to enhance integration or filtering for more transformations, such as integrating with Spark clusters. I am satisfied with Azure Data Factory so far, but I suggest integrating some AI functionality to analyze data during the transition itself, providing insights such as null records, common records, and duplicates without running a separate pipeline or job. The monitoring tools in Azure Data Factory are helpful for optimizing data pipelines; while the current feature is adequate, they can improve by creating a live dashboard to see the online process, including how much percentage has been completed, which will be very helpful for people who are monitoring the pipeline.

Read full review

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

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Top Industries

By visitors reading reviews

Financial Services Firm

12%

Computer Software Company

Manufacturing Company

Construction Company

Financial Services Firm

16%

Educational Organization

Construction Company

Government

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	31
Midsize Enterprise	21
Large Enterprise	63

By reviewers
Company Size	Count
Small Business	18
Midsize Enterprise	17
Large Enterprise	32

Questions from the Community

How do you select the right cloud ETL tool?

AWS Glue and Azure Data factory for ELT best performance cloud services.

How does Azure Data Factory compare with Informatica PowerCenter?

Azure Data Factory is flexible, modular, and works well. In terms of cost, it is not too pricey. It offers the stability and reliability I am looking for, good scalability, and is easy to set up an...

How does Azure Data Factory compare with Informatica Cloud Data Integration?

Azure Data Factory is a solid product offering many transformation functions; It has pre-load and post-load transformations, allowing users to apply transformations either in code by using Power Q...

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...

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, ...

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...

Snowflake vs Azure Data Factory

Comparisons

Compared 5% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs Azure Data Factory

Compared 4% of the time

Databricks vs Azure Data Factory

Compared 4% of the time

Oracle Data Integrator (ODI) vs Azure Data Factory

Compared 3% of the time

Palantir Foundry vs Azure Data Factory

Compared 3% of the time

More Azure Data Factory Competitors

Airbyte Cloud vs Pentaho Data Integration and Analytics

Compared 11% of the time

Informatica PowerCenter vs Pentaho Data Integration and Analytics

Compared 7% of the time

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

Compared 7% of the time

SSIS vs Pentaho Data Integration and Analytics

Compared 7% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs Pentaho Data Integration and Analytics

Compared 2% of the time

More Pentaho Data Integration and Analytics Competitors

Product Reports

Azure Data Factory

Download Azure Data Factory product report

Pentaho Data Integration and Analytics

Download Pentaho Data Integration and Analytics product report

Pentaho Data Integration and Analytics report

Also Known As

No data available

Hitachi Lumada Data Integration, Kettle, Pentaho Data Integration

Overview

Azure Data Factory efficiently manages and integrates data from various sources, enabling seamless movement and transformation across platforms. Its valuable features include seamless integration with Azure services, handling large data volumes, flexible transformation, user-friendly interface, extensive connectors, and scalability. Users have experienced improved team performance, workflow simplification, enhanced collaboration, streamlined processes, and boosted productivity.

Microsoft

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

Sample Customers

1. Adobe 2. BMW 3. Coca-Cola 4. General Electric 5. Johnson & Johnson 6. LinkedIn 7. Mastercard 8. Nestle 9. Pfizer 10. Samsung 11. Siemens 12. Toyota 13. Unilever 14. Verizon 15. Walmart 16. Accenture 17. American Express 18. AT&T 19. Bank of America 20. Cisco 21. Deloitte 22. ExxonMobil 23. Ford 24. General Motors 25. IBM 26. JPMorgan Chase 27. Microsoft (Azure Data Factory is developed by Microsoft) 28. Oracle 29. Procter & Gamble 30. Salesforce 31. Shell 32. Visa

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

Azure Data Factory vs. Pentaho Data Integration and Analytics