Oracle Big Data SQL vs Pentaho Data Integration and Analytics comparison

Oracle and Hitachi Vantara are both solutions in the Cloud Data Integration category. Additionally, 100% of Oracle users are willing to recommend the solution, compared to 94% of Hitachi Vantara users who would recommend it.

Oracle Big Data SQL

Read 2 Oracle Big Data SQL reviews

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111 Comparison Views

100% willing to recommend

Pentaho Data Integration an...

Read 53 Pentaho Data Integration and Analytics reviews

2,542 Views
1,932 Comparison Views

94% willing to recommend

Oracle Big Data SQL

Pentaho Data Integration an...

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Executive Summary

We performed a comparison between Oracle Big Data SQL and Pentaho Data Integration and Analytics based on real PeerSpot user reviews.

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

To learn more, read our detailed Oracle Big Data SQL vs. Pentaho Data Integration and Analytics Report (Updated: July 2025).

Buyer's Guide

Oracle Big Data SQL vs. Pentaho Data Integration and Analytics

July 2025

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Helped 861,803 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

Oracle Big Data SQL

Average Rating

8.6

Reviews Sentiment

7.6

Number of Reviews

Ranking in other categories

Cloud Data Integration (16th)

Pentaho Data Integration an...

Average Rating

8.0

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Data Integration (19th)

Featured Reviews

Mohamed Moustafa

General Manager at Quit cement

Offers good scalability, strong stability and seamless integration

The user interface is really user-friendly and intuitive. It was a major plus. The integration process was smooth. Oracle's security is good and significantly better than that of other solutions I've encountered. Previously, we had separate data interfaces for 15 concrete mixing plants, requiring manual document creation in Oracle. Now, with integrated automation, production has become much easier and more efficient over the past three years.

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Aqeel UR Rehman

BI Analyst at a computer software company with 51-200 employees

Transform data efficiently with rich features but there's challenges with large datasets

Currently, I am using Pentaho Data Integration for transforming data and then loading it into different platforms. Sometimes, I use it in conjunction with AWS, particularly S3 and Redshift, to execute the copy command for data processing Pentaho Data Integration is easy to use, especially when…

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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

"This solution can maintain a large volume of data and is flexible to what data it can handle. The performance is very good."

"The user interface is really user-friendly and intuitive."

"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."

"One of the most valuable features is the ability to create many API integrations. I'm always working with advertising agents and using Facebook and Instagram to do campaigns. We use Pentaho to get the results from these campaigns and to create dashboards to analyze the results."

"This solution allows us to create pipelines using a minimal amount of custom coding."

"The product is user-friendly and intuitive"

"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."

"It has improved our data integration capabilities."

"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."

"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."

More Pentaho Data Integration and Analytics pros

Cons

"The solution could improve by adding more advanced features."

"There is room for improvement in the pricing."

"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."

"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."

"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."

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

"Larger data jobs take more time to execute."

"I have been facing some difficulties when working with large datasets. It seems that when there is a large amount of data, I experience memory errors."

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

"Lumada could have more native connectors with other vendors, such as Google BigQuery, Microsoft OneDrive, Jira systems, and Facebook or Instagram. We would like to gather data from modern platforms using Lumada, which is a better approach. As a comparison, if you open Power BI to retrieve data, then you can get data from many vendors with cloud-native connectors, such as Azure, AWS, Google BigQuery, and Athena Redshift. Lumada should have more native connectors to help us and facilitate our job in gathering information from these new modern infrastructures and tools."

More Pentaho Data Integration and Analytics cons

Pricing and Cost Advice

Information not available

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

"When we first started with it, it was much cheaper. It has gone up drastically, especially since Hitachi bought out Pentaho."

"I use it because it is free. I download from their page for free. I don't have to pay for a license. With other tools, I have to pay for the licenses. That is why I use Pentaho."

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

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

"The price of the regular version is not reasonable and it should be lower."

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

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

21%

Computer Software Company

14%

Government

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

What do you like most about Oracle Big Data SQL?

The user interface is really user-friendly and intuitive.

See all answers

What needs improvement with Oracle Big Data SQL?

There is room for improvement in the pricing.

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What is your primary use case for Oracle Big Data SQL?

With Oracle Big Data SQL, I primarily managed data organization and structure. It helped streamline data within the system. I integrated Oracle with other systems. I worked with Oracle integrations...

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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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Compared 7% of the time

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Product Reports

Buyer's Guide

Cloud Data Integration

July 2025

Download Oracle Big Data SQL product report

Buyer's Guide

Pentaho Data Integration and Analytics

June 2025

Pentaho Data Integration and Analytics report

Download Pentaho Data Integration and Analytics product report

Also Known As

No data available

Hitachi Lumada Data Integration, Kettle, Pentaho Data Integration

Overview

A culture of innovation has propelled Oracle since its inception. Today, thanks to exceptional people, we lead the market in autonomous, cloud, and applications technologies.

Oracle

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

Information Not Available

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

Buyer's Guide

Oracle Big Data SQL vs. Pentaho Data Integration and Analytics

July 2025

Free Report: Oracle Big Data SQL vs. Pentaho Data Integration and Analytics

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