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HiT Software DBMoto vs Pentaho Data Integration and Analytics comparison

 

Comparison Buyer's Guide

Executive Summary

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
2
Ranking in other categories
Data Replication (17th)
Pentaho Data Integration an...
Average Rating
8.0
Reviews Sentiment
6.7
Number of Reviews
60
Ranking in other categories
Data Integration (8th)
 

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 3.1%, 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 1.4% since last year.
Data Replication Mindshare Distribution
ProductMindshare (%)
HiT Software DBMoto3.1%
NetApp SnapMirror6.8%
NetApp Snapshot5.3%
Other84.8%
Data Replication
Data Integration Mindshare Distribution
ProductMindshare (%)
Pentaho Data Integration and Analytics1.6%
SSIS3.6%
Informatica Intelligent Data Management Cloud (IDMC)3.6%
Other91.2%
Data Integration
 

Featured Reviews

reviewer1489908 - PeerSpot reviewer
Systems Engineer at a tech services company with 11-50 employees
User-friendly, easy to manage, with good support
We use HiT Software DBMoto for migration and reporting The most valuable features are that is easy to install and it is user-friendly. Pricing is an area that needs improvement. We started to use this product a year ago. It's a stable solution. We have not experienced any issues. It's a…
Michelle Lawson - PeerSpot reviewer
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.

Quotes from Members

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

Pros

"The most valuable features are that is easy to install and it is user-friendly."
"DBMoto was very simple to set up and move our tables to the Oracle DB."
"It is extremely flexible, it allows you to use variables/parameters for just about everything."
"The abstraction is quite good."
"It is a very good open source ETL tool that's capable of connecting to most databases."
"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."
"The tool is excellent, and almost everyone can use it."
"The fact that it's a low-code solution is valuable. It's good for more junior people who may not be as experienced with programming."
"The fact that it enables us to leverage metadata to automate data pipeline templates and reuse them is definitely one of the features that we like the best. The metadata injection is helpful because it reduces the need to create and maintain additional ETLs. If we didn't have that feature, we would have lots of duplicated ETLs that we would have to create and maintain. The data pipeline templates have definitely been helpful when looking at productivity and costs."
"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."
 

Cons

"This product would be improved with additional built-in functions for simpler date conversion, as well as for data type transformations."
"Pricing is an area that needs improvement."
"Its basic functionality doesn't need a whole lot of change. There could be some improvement in the consistency of the behavior of different transformation steps. The software did start as open-source and a lot of the fundamental, everyday transformation steps that you use when building ETL jobs were developed by different people. It is not a seamless paradigm. A table input step has a different way of thinking than a data merge step."
"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."
"Since Hitachi took over, I don't feel that the documentation is as good within the solution. It used to have very good help built right in."
"One thing I wish was better about Pentaho Data Integration and Analytics is its performance, as it sometimes gets intensive on the CPU standpoint, taking a lot of memory in some cases, especially when dealing with big data sets."
"The rule executor step can be improved."
"Parallel execution could be better in Pentaho. It's very simple but I don't think it works well."
"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."
"​I could not connect to our Hadoop environment in an easy and flexible way, and it was important to scale our data warehouse​."
 

Pricing and Cost Advice

"I found the price to be quite reasonable."
"Customers pay a license fee yearly."
"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."
"The price of the regular version is not reasonable and it should be lower."
"We did a two or three-year deal the last time we did it. As compared to other solutions, at least so far in our experience, it has been very affordable. The licensing is by component. So, you need to make sure you only license the components that you really intend to use. I am not sure if we have relicensed after the Hitachi acquisition, but previously, multi-year renewals resulted in a good discount. I'm not sure if this is still the case. We've had the full suite for a lot of years, and there is just the initial cost. I am not aware of any additional costs."
"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."
"For most development tasks, the Enterprise edition should be sufficient. It depends on the type of support that you require for your production environment."
"When we first started with it, it was much cheaper. It has gone up drastically, especially since Hitachi bought out 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."
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Top Industries

By visitors reading reviews
No data available
Financial Services Firm
12%
Educational Organization
10%
Government
8%
Manufacturing Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business18
Midsize Enterprise17
Large Enterprise31
 

Questions from the Community

Ask a question
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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...
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...
 

Also Known As

DBMoto
Hitachi Lumada Data Integration, Kettle, Pentaho Data Integration
 

Overview

 

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 Ro Negro, NOAA Information Systems, Swiss Real Estate Institute
Find out what your peers are saying about HiT Software DBMoto vs. Pentaho Data Integration and Analytics and other solutions. Updated: March 2026.
884,873 professionals have used our research since 2012.