No more typing reviews! Try our Samantha, our new voice AI agent.

Pentaho Data Integration and Analytics vs Tray.io 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:
 

ROI

Sentiment score
7.1
Pentaho streamlines data integration, reducing costs and development time, with savings up to $75,000 annually and improved efficiency.
Sentiment score
5.3
Tray.io's automation cut tasks by 80%, saved 40 weekly hours, and increased renewals, despite engineer cost concerns.
I have seen a return on investment; my team was able to stay extremely small even though we had a lot of data integrations with many companies.
Principal Software Engineer at a tech vendor with 10,001+ employees
I can testify to the return on investment with metrics regarding time saved; we have increased our efficiency by about 20 to 30 percent due to the swift migration processes facilitated by the tool.
Data Integration Developer at a tech services company with 1,001-5,000 employees
I have noticed a return on investment with Pentaho Data Integration and Analytics in terms of time savings and staff reduction.
Data Analyst at Telefonica Digital
I have seen a return on investment as the company has been renewing the product for the entire 19 months we have been using it, which indicates that trust is high and they likely see value and advantage in using the system.
Principal AI and Data Science Engineer at a manufacturing company with 10,001+ employees
It has even eliminated a position on our team because that person was no longer needed once we started the automations.
Applications Analyst at a healthcare company with 1,001-5,000 employees
 

Customer Service

Sentiment score
5.1
Users find community resources and forums helpful for Pentaho support, but complex issues sometimes require paid assistance.
Sentiment score
4.8
Tray.io's platform is user-friendly, but those needing support find it adequate, with newsletters and updates being particularly helpful.
24/7 assistance is available for the Enterprise Edition.
Data architect at a tech vendor with 10,001+ employees
take the time to understand our business requirements, offering appropriate recommendations.
Data Integration Developer at a tech services company with 1,001-5,000 employees
Communication with the vendor is challenging
Data Architecture and Engineering Specialist at coprocenva
I have never used the customer support for Tray.io because the software is very easy to use and we never needed to contact support.
Principal AI and Data Science Engineer at a manufacturing company with 10,001+ employees
 

Scalability Issues

Sentiment score
7.2
Pentaho Data Integration scales effectively for large datasets, though massive environments may challenge performance without cloud deployment.
Sentiment score
7.0
Tray.io scales well for large operations but struggles with increased complexity, affecting data processing in extensive deployments.
It can be scaled well until you reach a point where you need to perform a lot of operations, and the issue arises when it runs out of memory to handle some data.
Data engineer at a educational organization with 1,001-5,000 employees
Its ability to scale horizontally in cloud-native architectures or for massive real-time processing is limited.
Data Analyst at Telefonica Digital
Pentaho Data Integration handles larger datasets better.
Data Architecture and Engineering Specialist at coprocenva
We were able to deploy it from a small company within Tata with 200 people to what is now a multinational company with 92,000 people globally.
Principal AI and Data Science Engineer at a manufacturing company with 10,001+ employees
The benefits of it being no-code or low-code started to pale in comparison to the cost of making everything slightly more complicated.
Operations Analyst at a tech vendor with 51-200 employees
Tray.io's scalability is very good.
Software Engineer at a tech vendor with 1,001-5,000 employees
 

Stability Issues

Sentiment score
7.3
Pentaho Data Integration's stability varies, with reliability for small tasks but struggles with massive data and occasional bugs.
Sentiment score
7.8
Tray.io is stable and reliable, with challenging setup but performs well, despite some memory limitations affecting workflow processing.
Performance issues arise due to reliance on a flowchart-based mechanism instead of scripts, which can lead to longer execution times.
Data architect at a tech vendor with 10,001+ employees
I find that version 3.1 is the most stable version I have ever used.
Founder-CEO at Ubuntu Analytica
It's pretty stable, however, it struggles when dealing with smaller amounts of data.
Data Architecture and Engineering Specialist at coprocenva
In my experience, Tray.io is stable, as we have never experienced issues with it failing or being unavailable.
Principal AI and Data Science Engineer at a manufacturing company with 10,001+ employees
The biggest issue we have with Tray.io is that it runs out of memory space and does not process all of our workflows.
Applications Analyst at a healthcare company with 1,001-5,000 employees
Tray.io is stable, considering the number of workflows we automate.
IT Engineer at a consumer goods company with 51-200 employees
 

Room For Improvement

Pentaho Data Integration needs improved performance, scalability, cloud integration, real-time processing, updated interface, and better documentation and support.
Tray.io should enhance user-friendliness, debugging, documentation, pricing, integrations, and data handling for non-technical users and mid-market needs.
We should also explore more effective partitioning for parallel processing and fine-tuning database connections to reduce load times and improve ETL speed.
Data Integration Developer at a tech services company with 1,001-5,000 employees
Pentaho Data Integration and Analytics can be improved by working with different environments, specifically the possibility to change the variables, meaning I write my variables only once and can change them for different environments such as production or development.
Founder-CEO at Ubuntu Analytica
Pentaho Data Integration and Analytics could have real-time processing and automatic alerting, having alerts or automatic notifications when a job fails or when certain data doesn't meet certain rules.
Data Analyst at Telefonica Digital
When an automation fails, it usually provides the JSON format, and if Tray.io could include a summary of what the actual error entails, that would be quite beneficial.
IT Engineer at a consumer goods company with 51-200 employees
I believe Tray.io can be improved by offering integration with Tableau, which is still not available.
Principal AI and Data Science Engineer at a manufacturing company with 10,001+ employees
There is a steep learning curve in user accessibility; the builder is highly developer-centric, making it difficult for a non-technical team member to modify or troubleshoot workflows.
Automation Engineer at a educational organization with 11-50 employees
 

Setup Cost

Pentaho provides cost-effective data integration and analytics with a free Community Edition and a competitively priced Enterprise Edition.
I use the community version of Pentaho Data Integration and Analytics, and I do not need additional costs.
Project Manager at Laberit
The setup cost was minimal, and the pricing experience was pretty good.
Data engineer at a educational organization with 1,001-5,000 employees
The company covered it and they had no problem paying for it because they saw that it was cost-effective in terms of performance afterwards.
Data Analyst at Telefonica Digital
No one has complained in the finance department, and it is very rare for Tata Motors to refrain from complaining about pricing.
Principal AI and Data Science Engineer at a manufacturing company with 10,001+ employees
 

Valuable Features

Pentaho Data Integration is user-friendly, versatile, and integrates well with data sources, supporting automation and minimal coding for efficiency.
Tray.io offers robust automation with error handling, data integration, and seamless platform connectivity through a user-friendly low-code interface.
Pentaho Data Integration and Analytics has positively impacted my organization because it meant we didn't have to write a lot of custom API back-end processing logic; it did the majority of that heavy lifting for us.
Principal Software Engineer at a tech vendor with 10,001+ employees
It automates the data workflow, including extraction, cleansing, and loading into warehouses for BI reporting purposes, while also removing duplicates, validating data, and standardizing formats, enabling real-time decision-making.
Data Integration Developer at a tech services company with 1,001-5,000 employees
Pentaho Data Integration and Analytics has positively impacted my organization because it is easier to use, and my knowledge about this work facilitates the translation from the source to my final system.
Project Manager at Laberit
The connector SDK is also very nice; it has a large library of pre-built connectors that can connect a lot of proprietary internal tools directly into Tray.io, allowing the developer to build, test, and deploy custom connectors using Node.js and integrate the data directly into Tray.io.
Automation Engineer at a educational organization with 11-50 employees
The logging and debugging features in Tray.io have helped us considerably, especially when dealing with APIs that return errors sometimes.
Operations Analyst at a tech vendor with 51-200 employees
Tray.io is low-code automation, meaning you do not have to be an expert in JSON to understand the components and create automations.
IT Engineer at a consumer goods company with 51-200 employees
 

Categories and Ranking

Pentaho Data Integration an...
Average Rating
8.0
Reviews Sentiment
6.7
Number of Reviews
61
Ranking in other categories
Data Integration (9th)
Tray.io
Average Rating
7.2
Reviews Sentiment
5.4
Number of Reviews
6
Ranking in other categories
Process Automation (15th), Cloud Data Integration (17th), Low-Code Development Platforms (19th), Integration Platform as a Service (iPaaS) (15th)
 

Featured Reviews

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.
Amrit Dash - PeerSpot reviewer
Automation Engineer at a educational organization with 11-50 employees
Automated student enrollments have reduced manual work and now free our team for higher-value support
Tray.io is definitely a highly powerful tool, but there are three main areas that I feel could be improved. There is a steep learning curve in user accessibility; the builder is highly developer-centric, making it difficult for a non-technical team member to modify or troubleshoot workflows. Introducing a more intuitive visual interface similar to what we have in make.com right now would make the platform much more collaborative and easier to work with for any non-technical folks or newly onboarded engineers, allowing them to be briefed faster. Visual debugging is another area where troubleshooting complex nested loops can feel very abstract. Having clearer, more visual step-by-step data tracking during test runs would speed up the development and testing process. The pricing model is geared heavily towards enterprise budgets; offering more flexible mid-market pricing tiers would make it more accessible for a growing organization that wants a small start and scale up gradually. The core platform security is highly robust and easily meets our requirements for SOC 2 and GDPR compliance. However, when utilizing their AI features such as Merlin AI with sensitive student data, we maintain a very cautious approach. While Tray.io provides enterprise-grade governance guardrails and data masking capabilities, our internal compliance policies prevent us from passing any personally identifiable student information directly through AI-driven processors. We trust Tray.io's underlying infrastructure security, but we believe organizations must still enforce strict data filtering protocols on their end to ensure student privacy is maintained. During our evaluation, we tested the AI capabilities in a sandbox environment, primarily using it to generate workflow drafts and natural language prompts from web data schemas. Strength-wise, it is highly capable when it comes to translating simple text descriptions into functional workflow templates. It serves as a great accelerator, helping to map standard files quickly and reducing the initial setup time for basic integrations. For issues, in the case of highly custom APIs or deeply nested data structures, accuracy declines. We noticed occasional misinterpretation of complex schemas, meaning our developers still had to manually review and correct the outputs. It is a highly helpful productivity booster but still requires human oversight for enterprise-grade reliability.
report
Use our free recommendation engine to learn which Cloud Data Integration solutions are best for your needs.
902,988 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
16%
Educational Organization
9%
Construction Company
8%
Manufacturing Company
7%
Construction Company
13%
Comms Service Provider
13%
Healthcare Company
10%
Outsourcing Company
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business18
Midsize Enterprise17
Large Enterprise32
By reviewers
Company SizeCount
Small Business4
Large Enterprise4
 

Questions from the Community

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...
What needs improvement with Tray.io?
Tray.io is definitely a highly powerful tool, but there are three main areas that I feel could be improved. There is a steep learning curve in user accessibility; the builder is highly developer-ce...
What is your primary use case for Tray.io?
We used and evaluated Tray.io for approximately three to six months during a proof of concept evaluation phase. During this period, our engineering and operation teams utilized the platform to buil...
What advice do you have for others considering Tray.io?
I give Tray.io an eight out of ten rating mostly because of how it is developer-centric and lacks a low-code platform and the pricing. The reduction in manual data tasks had a direct positive impac...
 

Also Known As

Hitachi Lumada Data Integration, Kettle, Pentaho Data Integration
No data available
 

Overview

 

Sample Customers

66Controls, Providential Revenue Agency of Ro Negro, NOAA Information Systems, Swiss Real Estate Institute
Copper, DigitalOcean, Udemy, AdRoll, FICO, Outreach
Find out what your peers are saying about Amazon Web Services (AWS), Informatica, Palantir and others in Cloud Data Integration. Updated: June 2026.
902,988 professionals have used our research since 2012.