Pentaho Data Integration and Analytics vs ibi DataMigrator comparison

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Information Builders and Hitachi Vantara are both solutions in the Data Integration category. Information Builders is ranked #36 with an average rating of 9.0, while Hitachi Vantara is ranked #8 with an average rating of 7.7. Information Builders holds a 0.6% mindshare in DI, compared to Hitachi Vantara’s 1.9% mindshare. Additionally, 100% of Information Builders users are willing to recommend the solution, compared to 95% of Hitachi Vantara users who would recommend it.

ibi DataMigrator

Read 1 ibi DataMigrator review

2,478 Views
2,057 Comparison Views

100% willing to recommend

Pentaho Data Integration an...

Read 61 Pentaho Data Integration and Analytics reviews

10,001 Views
7,901 Comparison Views

95% willing to recommend

ibi DataMigrator

Pentaho Data Integration an...

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Executive Summary

We performed a comparison between Pentaho Data Integration and Analytics and ibi DataMigrator based on real PeerSpot user reviews.

Find out what your peers are saying about Informatica, Microsoft, Palantir and others in Data Integration.

To learn more, read our detailed Data Integration Report (Updated: October 2026).

Buyer's Guide

Data Integration

October 2026

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Helped 920,223 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

ibi DataMigrator

Ranking in Data Integration

36th

Average Rating

9.0

Reviews Sentiment

1.0

Number of Reviews

Ranking in other categories

No ranking in other categories

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 November 2026, in the Data Integration category, the mindshare of ibi DataMigrator is 0.6%, down from 0.6% compared to the previous year. The mindshare of Pentaho Data Integration and Analytics is 1.9%, up from 1.6% 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	1.9%
ibi DataMigrator	0.6%
Other	97.5%

Data Integration

Featured Reviews

David_Hall

Data Warehouse Analyst at a insurance company with 1,001-5,000 employees

Have seen support quality decline while still relying on long-standing data transformation features

I would assess the tool's error handling and logging features as part of it involves having a sampling thing. Depending on the definition of who's doing this, I used to work at a university where we looked at students who registered, and there were people who could register without specifying their gender. Most people know their gender. Some people would not put their birth date, so their date of birth was the default century. In 1989, we had hundreds of 89-year-olds because it was noted as 1900. What we would do is quickly assess that this is not reasonable; in a college setting, how many 89-year-olds are standing in line for freshman orientation? We could produce transformations on the fly. You can look at stuff, but ultimately, you need to go back to the data. There's logic involved; do you have to have a six-digit zip? Do you need the six plus four? It all depends on your criteria. It's doable, but it takes time, and if there's a lot of that, they usually hire people just to handle it. It's a tool that has its limitations; they haven't added wonderful features, and it's a GUI tool based on a desktop that you can run. Their manuals are pretty good, but we're not really using it actively, so I can't tell you everything right now.

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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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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"IBI has led the way for many years because they can read and write any data set."

"Flexible deployment, in any environment, is very important to us. That is the key reason why we ended up with these tools. Because we have a very highly secure environment, we must be able to install it in multiple environments on multiple different servers. The fact that we could use the same tool in all our environments, on-prem and in the cloud, was very important to us."

"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."

"Developed ETL processes to load a data warehouse has improved our data integration capabilities."

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

"The graphical nature of the development interface is most useful because we've got people with quite mixed skills in the team. We've got some very junior, apprentice-level people, and we've got support analysts who don't have an IT background. It allows us to have quite complicated data flows and embed logic in them. Rather than having to troll through lines and lines of code and try and work out what it's doing, you get a visual representation, which makes it quite easy for people with mixed skills to support and maintain the product. That's one side of it."

"Data transformation within Pentaho is a nice feature that they have and that I value."

"Pentaho Data Integration is quite simple to learn, and there is a lot of information available online."

"Anyone thinking about an ETL product, if they want high productivity on data cleaning and data movement, Pentaho Data Integration, in my opinion, is the best tool."

More Pentaho Data Integration and Analytics pros

Cons

"Their products work wonderfully during demos, but when we install them, they don't, and I end up following their manual only to find they forgot to mention something important."

"I think Pentaho Data Integration and Analytics needs additional plugins for the market, and for some specific tasks it is very difficult."

"The only complaint that I have with Pentaho has been with scaling."

"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."

"Lumada could have more native connectors with other vendors, such as Google BigQuery, Microsoft OneDrive, Jira systems, and Facebook or Instagram."

"I would like to see more improvements with AS400 DB2. I journalled the tables/instance and the data migration is too slow if I compare it with other databases."

"Its performance can be improved so it will work better with Big Data. Also, sometimes it can be very buggy which keeps away some potential users."

"In terms of the flexibility to deploy in any environment, such as on-premise or in the cloud, we can do the cloud deployment only through virtual machines. We might also be able to work on different environments through Docker or Kubernetes, but we don't have an Azure app or an AWS app for easy deployment to the cloud. We can only do it through virtual machines, which is a problem, but we can manage it. We also work with Databricks because it works with Spark. We can work with clustered servers, and we can easily do the deployment in the cloud. With a right-click, we can deploy Databricks through the app on AWS or Azure cloud."

"In terms of improvements, while creating on a remote service, we face challenges related to limited memory, which calls for optimization."

More Pentaho Data Integration and Analytics cons

Pricing and Cost Advice

Information not available

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

"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."

"For most development tasks, the Enterprise edition should be sufficient. It depends on the type of support that you require for your production environment."

"I mostly used the open-source version. I didn't work with a license."

"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."

"The cost of these types of solutions are expensive. So, we really appreciate what we get for our money. Though, we don't think of the solution as a top-of-the-line solution or anything like that."

More Pentaho Data Integration and Analytics pricing and cost advice

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Top Industries

By visitors reading reviews

Construction Company

18%

Comms Service Provider

15%

Retailer

10%

Transportation Company

Financial Services Firm

11%

Outsourcing Company

11%

Construction Company

Educational Organization

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

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

Questions from the Community

What is your experience regarding pricing and costs for ibi DataMigrator?

I don't have details about the pricing or licensing of ibi DataMigrator. I stay away from money matters; the last time I bought something was 35 years ago while trying to convince people it was wor...

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What needs improvement with ibi DataMigrator?

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What is your primary use case for ibi DataMigrator?

That's just it with the main use case for us more recently. We have it, we're licensed for it. We can make sure it works, but we don't really use ibi DataMigrator. ibi DataMigrator is an Extract, T...

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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

Informatica PowerCenter vs ibi DataMigrator

Compared 14% of the time

SSIS vs ibi DataMigrator

Compared 14% of the time

ibi Open Data Hub for Mainframe vs ibi DataMigrator

Compared 8% of the time

IBM InfoSphere DataStage vs ibi DataMigrator

Compared 6% of the time

Oracle GoldenGate vs ibi DataMigrator

Compared 4% of the time

More ibi DataMigrator Competitors

Informatica PowerCenter vs Pentaho Data Integration and Analytics

Compared 8% of the time

SSIS 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

Airbyte Cloud vs Pentaho Data Integration and Analytics

Compared 7% of the time

StreamSets vs Pentaho Data Integration and Analytics

Compared 5% of the time

More Pentaho Data Integration and Analytics Competitors

Product Reports

Buyer's Guide

Data Integration

October 2026

Download ibi DataMigrator product report

Buyer's Guide

Pentaho Data Integration and Analytics

October 2026

Pentaho Data Integration and Analytics report

Download Pentaho Data Integration and Analytics product report

Also Known As

iWay DataMigrator, Information Builders DataMigrator

Hitachi Lumada Data Integration, Kettle, Pentaho Data Integration

Overview

ibi DataMigrator offers a flexible and robust data integration and migration platform designed for seamless data transfer and transformation between systems. Its advanced functionalities support the automation of complex workflows and ensure reliable, efficient data management.

Built to cater to the demanding data workflows of modern enterprises, ibi DataMigrator simplifies data extraction, transformation, and load processes. This platform's strength lies in its ability to integrate diverse data sources, harmonizing data across environments effortlessly. Users benefit from its powerful automation capabilities, reducing the likelihood of errors while improving operational efficiency. Both IT professionals and data engineers find value in its comprehensive suite of tools aimed at streamlining data operations.

What are the key features of ibi DataMigrator?

Automated Scheduling: Schedule tasks to run at optimal times without manual intervention.
Data Transformation: Apply complex transformations to raw data, tailoring it for specific purposes.
Scalability: Handle data migration and transformation for large datasets with ease.
Source Connectivity: Connect effortlessly with a myriad of data sources, supporting diverse environments.

What benefits or ROI should users seek in reviews?

Improved Efficiency: Streamline operations and reduce the time taken for data workflows.
Reduced Errors: Automation minimizes manual errors, enhancing data reliability.
Operational Cost Saving: Lower manual labor and infrastructure costs by optimizing data processes.
Enhanced Decision Making: Access to harmonized data leads to better business insights.

ibi DataMigrator is widely implemented in sectors such as finance, healthcare, and retail. It addresses industry-specific challenges by providing scalable, automated data processing solutions that enhance data accessibility and integrity. Companies benefit from improved compliance and reporting through efficient data management.

Information Builders

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

Estonia Police Department

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

Find out what your peers are saying about Informatica, Microsoft, Palantir and others in Data Integration. Updated: October 2026.

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