HiT Software DBMoto vs Pentaho Data Integration and Analytics comparison

The compared HiT Software and Hitachi Vantara solutions aren't in the same category. HiT Software is ranked #21 in DR , and holds a 1.0% mindshare in the category. Hitachi Vantara is ranked #22 in DI , with an average rating of 7.7, and holds a 1.6% mindshare. Additionally, 100% of HiT Software users are willing to recommend the solution, compared to 94% of Hitachi Vantara users who would recommend it.

HiT Software DBMoto

Read 2 HiT Software DBMoto reviews

52 Views
46 Comparison Views

100% willing to recommend

Pentaho Data Integration an...

Read 53 Pentaho Data Integration and Analytics reviews

2,102 Views
1,065 Comparison Views

94% willing to recommend

HiT Software DBMoto

Pentaho Data Integration an...

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Executive Summary

We performed a comparison between HiT Software DBMoto and Pentaho Data Integration and Analytics based on real PeerSpot user reviews.

Find out in this report how the two Data Replication solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed HiT Software DBMoto vs. Pentaho Data Integration and Analytics Report (Updated: April 2025).

Buyer's Guide

HiT Software DBMoto vs. Pentaho Data Integration and Analytics

April 2025

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Helped 850,028 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

HiT Software DBMoto

Average Rating

9.0

Reviews Sentiment

7.6

Number of Reviews

Ranking in other categories

Data Replication (21st)

Pentaho Data Integration an...

Average Rating

8.0

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Data Integration (22nd)

Mindshare comparison

HiT Software DBMoto and Pentaho Data Integration and Analytics aren’t in the same category and serve different purposes. HiT Software DBMoto is designed for Data Replication and holds a mindshare of 1.0%, up 0.9% compared to last year.
Pentaho Data Integration and Analytics, on the other hand, focuses on Data Integration, holds 1.6% mindshare, up 0.6% since last year.

Data Replication

Data Integration

Featured Reviews

reviewer1077405

Works at a government with 1,001-5,000 employees

Replication monitor feature is helpful in that it allows a quick view of the status, errors, and results of the last replication

We appreciate the ease of use in this solution. It looks like File Explorer, where you set up your source and targets. Replications are created simply by using the replication wizard. It also has functionality for scheduling, verification, and alerts. The ability to write code for transformations is very useful. Once the replications are set up it is simple to maintain. The Replication monitor is helpful in that it allows a quick view of the status, errors, and results of the last replication. Replication logs and history files are very useful for determining problematic data issues. The transaction latency tool is also helpful for determining how many connections are required for larger files. The replication types that are available are: Refresh Only, Continuous, and Synchronization. We currently use Refresh Only (scheduled refreshes), and Continuous. The source and target table verification is very helpful for running checks. The Replication Monitor is also a great plus, which shows a quick view of the replication status.

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Ryan Ferdon

Senior Data Engineer at Burgiss

Low-code makes development faster than with Python, but there were caching issues

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. It was kind of buggy sometimes. And when we ran the flow, it didn't go from a perceived start to end, node by node. Everything kicked off at once. That meant there were times when it would get ahead of itself and a job would fail. That was not because the job was wrong, but because Pentaho decided to go at everything at once, and something would process before it was supposed to. There were nodes you could add to make sure that, before this node kicks off, all these others have processed, but it was a bit tedious. There were also caching issues, and we had to write code to clear the cache every time we opened the program, because the cache would fill up and it wouldn't run. I don't know how hard that would be for them to fix, or if it was fixed in version 10. Also, the UI is a bit outdated, but I'm more of a fan of function over how something looks. One other thing that would have helped with Pentaho was documentation and support on the internet: how to do things, how to set up. I think there are some sites on how to install it, and Pentaho does have a help repository, but it wasn't always the most useful.

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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

"DBMoto was very simple to set up and move our tables to the Oracle DB."

"The most valuable features are that is easy to install and it is user-friendly."

"I absolutely love Hitachi. I'm one of the forefront supporters of Hitachi for my firm. It's so easy to integrate within our environments. In terms of being able to quickly build ETL jobs, transform, and then automate them, it's really easy to integrate throughout for data analytics."

"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."

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

"Pentaho Data Integration is easy to use, especially when transforming data."

"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."

"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 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 use Python, which is open-source, and I can run other scripts, including Linux scripts. It's user-friendly for running any object-based language. That's a very important feature because we live in a world of open-source."

More Pentaho Data Integration and Analytics pros

Cons

"Pricing is an area that needs improvement."

"This product would be improved with additional built-in functions for simpler date conversion, as well as for data type transformations."

"I work with different databases. I would like to work with more connectors to new databases, e.g., DynamoDB and MariaDB, and new cloud solutions, e.g., AWS, Azure, and GCP. If they had these connectors, that would be great. They could improve by building new connectors. If you have native connections to different databases, then you can make instructions more efficient and in a more natural way. You don't have to write any scripts to use that connector."

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

"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 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..."

"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."

"There is not a data quality or MDM solution in the Pentaho DI suite."

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

"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."

More Pentaho Data Integration and Analytics cons

Pricing and Cost Advice

"Customers pay a license fee yearly."

"I found the price to be quite reasonable."

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

"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."

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

"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."

"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."

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

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

"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."

More Pentaho Data Integration and Analytics pricing and cost advice

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Top Industries

By visitors reading reviews

No data available

Financial Services Firm

22%

Computer Software Company

15%

Government

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

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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, ...

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

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Product Reports

Buyer's Guide

Data Replication

March 2025

Download HiT Software DBMoto product report

Buyer's Guide

Pentaho Data Integration and Analytics

April 2025

Pentaho Data Integration and Analytics report

Download Pentaho Data Integration and Analytics product report

Also Known As

DBMoto

Hitachi Lumada Data Integration, Kettle, Pentaho Data Integration

Overview

HiT Software DBMoto provides an optimal data replication and Change Data Capture solution based on open standards, which enables an IT crew or systems integrator to implement cost-effective, extensible solutions across heterogeneous databases, high-speed analytic systems/platforms and Cloud-based systems

HiT Software

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

JAS Forwarding Worldwide, Animal, Financiera Pagos Internacionales C.F., Bur de Credito, Qualitas-IT, EFCO Corporation, Andrews Consulting, ASL Modena, BancAssurance Popolari S.p.A., Banco BICSA, Cheshire County Council, Epson Precision, Ferrari North America

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

Buyer's Guide

HiT Software DBMoto vs. Pentaho Data Integration and Analytics

April 2025

Free Report: HiT Software DBMoto vs. Pentaho Data Integration and Analytics

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