OpenText Trading Grid vs Pentaho Data Integration and Analytics comparison

OpenText and Hitachi Vantara are both solutions in the Cloud Data Integration category. Additionally, 50% of OpenText users are willing to recommend the solution, compared to 94% of Hitachi Vantara users who would recommend it.

OpenText Trading Grid

Read 1 OpenText Trading Grid review

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46 Comparison Views

50% willing to recommend

Pentaho Data Integration an...

Read 53 Pentaho Data Integration and Analytics reviews

2,036 Views
1,082 Comparison Views

94% willing to recommend

OpenText Trading Grid

Pentaho Data Integration an...

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Executive Summary

We performed a comparison between OpenText Trading Grid and Pentaho Data Integration and Analytics based on real PeerSpot user reviews.

Find out what your peers are saying about Amazon Web Services (AWS), Informatica, Salesforce and others in Cloud Data Integration.

To learn more, read our detailed Cloud Data Integration Report (Updated: May 2025).

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Cloud Data Integration

May 2025

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Helped 851,174 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

OpenText Trading Grid

Average Rating

8.0

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

Business-to-Business Middleware (12th), Cloud Data Integration (30th), Integration Platform as a Service (iPaaS) (19th)

Pentaho Data Integration an...

Average Rating

8.0

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Data Integration (21st)

Featured Reviews

VARUNKUMAR

Mgr Value Chain Integration/EDI at a non-tech company with 10,001+ employees

Industry-leading, easy to implement, and has good mapping specification guidelines

The good thing about OpenText is that we have the mapping specification guideline available, which is not there in a solution like SEEBURGER. Whenever you want to take a decision to move away from OpenText, you have already documented your mapping and what your mapping looks like. So you go to the next provider, provide them with that mapping specification, and it'll be very easy for them to develop a new map instead of just taking the data - input data, output data - and then looking for how the data is getting transformed. So you have the mapping spec level which is a very good feature of OpenText, which we do not have in SEEBURGER. It's very hard to move from SEEBURGER. The solution is easy to implement. It's stable and reliable. They are the industry leaders in the integration space.

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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

"The solution is easy to implement."

"Lumada has allowed us to interact with our employees more effectively and compensate them properly. One of the cool things is that we use it to generate commissions for our salespeople and bonuses for our warehouse people. It allows us to get information out to them in a timely fashion. We can also see where they're at and how they're doing."

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

"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."

"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."

"It has improved our data integration capabilities."

"It is easy to use, install, and start working with."

"It makes it pretty simple to do some fairly complicated things. Both I and some of our other BI developers have made stabs at using, for example, SQL Server Integration Services, and we found them a little bit frustrating compared to Data Integration. So, its ease of use is right up there."

"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."

More Pentaho Data Integration and Analytics pros

Cons

"Technical support needs to be better."

"While Pentaho Data Integration is very friendly, it is not very useful when there isn't a lot of data to handle."

"I would like to see support for some additional cloud sources. It doesn't support Azure, for example. I was trying to do a PoC with Azure the other day but it seems they don't support it."

"The performance could be improved. If they could have analytics perform well on large volumes, that would be a big deal for our products."

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

"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."

"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."

"One thing that I don't like, just a little, is the backward compatibility."

"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."

More Pentaho Data Integration and Analytics cons

Pricing and Cost Advice

Information not available

"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."

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

"It does seem a bit expensive compared to the serverless product offering. Tools, such as Server Integration Services, are "almost" free with a database engine. It is comparable to products like Alteryx, which is also very expensive."

"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."

"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."

"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."

"If a company is looking for an ETL solution and wants to integrate it with their tech stack but doesn't want to spend a bunch of money, Pentaho is a good solution"

"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."

More Pentaho Data Integration and Analytics pricing and cost advice

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Top Industries

By visitors reading reviews

Computer Software Company

14%

Manufacturing Company

13%

Retailer

10%

Real Estate/Law Firm

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

Ask a question

Earn 20 points

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...

See all answers

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...

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Product Reports

Buyer's Guide

Business-to-Business Middleware

May 2025

Download OpenText Trading Grid 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

Trading Grid, GXS Trading Grid

Hitachi Lumada Data Integration, Kettle, Pentaho Data Integration

Overview

OpenText Trading Grid (formerly GXS) is a unique global integration platform that enables and streamlines cross enterprise business processes. With extreme flexibility and a service-oriented, business-to-business e-commerce platform, the Grid helps companies automate global trading communities by shielding complexity from rapidly changing standards, eliminating manual and duplicative efforts and enabling a new level of process integration and business intelligence.

OpenText

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

Autoliv, Hella, Hutchinson, Michelin

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

Buyer's Guide

Cloud Data Integration

May 2025

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