Dataloader.io vs Pentaho Data Integration and Analytics comparison

Dataloader.io 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:

Categories and Ranking

Dataloader.io

Ranking in Data Integration

51st

Average Rating

7.6

Reviews Sentiment

7.5

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 Dataloader.io is 0.7%, up from 0.4% 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%
Dataloader.io	0.7%
Other	97.4%

Data Integration

Featured Reviews

reviewer2542599

Lead Database Administrator at a insurance company with 201-500 employees

Integrating external keys seamlessly while has transaction constraints

I find DataLoader's ability to easily integrate with external keys valuable, which is a bit more challenging with DBM. It provides automation for scheduling data loads, and we use the server's functionality for this. Additionally, DataLoader is cost-effective since it is free. As long as I have stable network access, uploading and downloading data is straightforward.

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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

"DataLoader is cost-effective since it is free."

"he product’s most valuable feature is ease of access."

"I find DataLoader's ability to easily integrate with external keys valuable, which is a bit more challenging with DBM."

"It has a really friendly user interface, which is its main feature. The process of automating or combining SQL code with some databases and doing the automation is great and really convenient."

"We are very productive today thanks to that piece of software integration our data and the platform serving the processed data to our users."

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

"It has made a world of difference."

"Easy to use, support for all databases (jdbc and odbc connection), xls, csv, files, txt, SAS, R."

"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."

"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."

"Running itself with the ETL was very fast; it makes it so that it is very easy to transform the information we have, and we found that very useful."

More Pentaho Data Integration and Analytics pros

Cons

"We need help with large data migrations. It only works well for a few thousand records or less than a million records."

"Dataloader has limitations, including constraints with file sizes and transactions. Additionally, at times it can be slow, and when integrating DBM, we find it more complex than Dataloader."

"The testing and quality could really improve. Every time that there is a major release, we are very nervous about what is going to get broken. We have had a lot of experience with that, as even the latest one was broken. Some basic things get broken. That doesn't look good for Hitachi at all. If there is one place I would advise them to spend some money and do some effort, it is with the quality. It is not that hard to start putting in some unit tests so basic things don't get broken when they do a new release. That just looks horrible, especially for an organization like Hitachi."

"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..."

"For managing very large volumes of data, Pentaho Data Integration and Analytics is not the best tool, but it is in a good position to handle millions of records."

"The one annoyance that troubled us a lot was the fact that every step in a transformation that needed data, created its own data connection."

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

"It could be better integrated with programming languages, like Python and R. Right now, if I want to run a Python code on one of my ETLs, it is a bit difficult to do. It would be great if we have some modules where we could code directly in a Python language. We don't really have a way to run Python code natively."

"Its UI is probably a bit too confusing for that level of user, so it doesn't allow us to get the tool as widely distributed across the organization to non-technical users as much as we would like."

"Communicating with the vendor is challenging, and this hinders its performance in free tool setups."

More Pentaho Data Integration and Analytics cons

Pricing and Cost Advice

"The product is inexpensive and economical."

"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."

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

"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."

"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."

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

"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."

More Pentaho Data Integration and Analytics pricing and cost advice

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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

Construction Company

19%

Comms Service Provider

19%

Transportation Company

Insurance 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 Dataloader.io?

Dataloader.io is cost-effective, particularly since it is free.

What needs improvement with Dataloader.io?

DataLoader has limitations, including constraints with file sizes and transactions. Additionally, at times it can be slow, and when integrating DBM, we find it more complex than DataLoader.

What advice do you have for others considering Dataloader.io?

For small to mid-range businesses, DataLoader is perfectly fine, offering everything needed for uploading. On a scale of one to ten, I would rate DataLoader a seven or eight depending on specific n...

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...

Jitterbit Harmony vs Dataloader.io

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Product Reports

Data Integration

Download Dataloader.io 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

Dataloader.io is a cloud-based application designed to simplify data import, export, and integration tasks. It caters to users looking for a straightforward data management tool that supports Salesforce.

Users benefit from Dataloader.io's ability to streamline workflows and automate repetitive data-handling processes. Its advanced capabilities allow businesses to efficiently manage large volumes of data, ensuring accuracy and consistency across Salesforce environments. With intuitive scheduling and user-friendly operations, Dataloader.io is a preferred choice for tech-savvy professionals aiming to enhance productivity.

What are the main features of Dataloader.io?

Cloud-based: Access Dataloader.io from anywhere without installation.
Data Scheduling: Automate data tasks to run at specified intervals.
OAuth Authentication: Securely connect to Salesforce without storing passwords.
Support for Bulk API: Handle large data sets efficiently to optimize processing time.
Export/Import: Move data to and from Salesforce easily.
Intuitive Interface: Simple navigation and operation to decrease the learning curve.

What benefits or ROI should be evaluated in reviews?

Time Efficiency: Reduction in manual data processes, freeing up resources.
Data Accuracy: Maintains consistency across Salesforce applications.
Cost Savings: Decreased overhead by minimizing manual intervention.
Scalability: Easily manages increased data volumes as business needs grow.

In industries like retail, Dataloader.io is valuable for managing large customer databases and inventory data. Financial services benefit from its accuracy in processing transaction data. The straightforward design aids sectors with significant data operations, ensuring efficient data handling and smooth information flow within Salesforce.

Salesforce

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

UCSF, Box, CareFusion, Unilever, Hershey's

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

Dataloader.io vs. Pentaho Data Integration and Analytics