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Pentaho Data Integration and Analytics vs Talend Data Integration 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
7.9
Pentaho offers cost-effective integration, reducing ETL time, lowering expenses, and enhancing competitiveness with open-source flexibility and efficiency.
Sentiment score
5.9
Talend Data integration streamlines processing, boosts efficiency, saves time, is scalable, user-friendly, improves accuracy, and adds business value.
It has helped us save a lot of time by automating repetitive data processes and reducing manual interventions.
They didn't want to use separate ETL tools for MDM or for TMC and data preparation, which is all included in one package.
 

Customer Service

Sentiment score
5.2
Users rely on community support over customer service due to mixed experiences, despite responsive technical support and Hitachi's involvement.
Sentiment score
7.2
Talend users find the customer service responsive and helpful, though complex issues may require Java routines and take longer.
Communication with the vendor is challenging
The support team is responsive when we raise issues, and they usually provide clear guidance or solutions.
The customer support for Talend Data Integration is very good; whenever I raise a ticket in the customer portal, I immediately receive an email, and follow-up communication is prompt.
 

Scalability Issues

Sentiment score
7.3
Pentaho excels in scalability and efficient data handling but faces challenges with exceptionally large data and complex growth scenarios.
Sentiment score
6.9
Talend Data Integration is scalable, effectively managing large data volumes with job parallelization and modular design, rated eight out of ten.
Pentaho Data Integration handles larger datasets better.
By using features like job parallelization and modular design, we can expand our data flows without having to rebuild everything.
The scalability of Talend Data Integration is good; if it weren't scalable, it wouldn't be reliable.
 

Stability Issues

Sentiment score
7.1
Pentaho Data Integration offers reliability for small to midsize operations but may lag and freeze with complex uses.
Sentiment score
7.2
Talend Data Integration is reliable, stable, and dependable for large data volumes with well-designed deployments and adequate infrastructure.
It's pretty stable, however, it struggles when dealing with smaller amounts of data.
Once the jobs are properly designed and deployed, they run reliably without major issues.
 

Room For Improvement

Pentaho needs improvements in big data performance, error handling, UI, scheduling, backward compatibility, cloud integration, and Python support.
Talend Data Integration requires better debugging tools, technical support, interface user-friendliness, and enhanced cloud connectivity and processing capabilities.
Pentaho Data Integration is very friendly, it is not very useful when there isn't a lot of data to handle.
It would be great to have more ready-to-use connectors for modern cloud and SaaS platforms.
Talend Data Integration can be improved by reducing the license cost, as it is a bit high compared to other tools, which can be a burden for small-scale companies wanting to buy a license.
Regarding ETL, Talend Data Integration is great, but concerning real-time data processing, people are not really sure about Talend Data Integration or might not know how it provides such types of flexibilities.
 

Setup Cost

Pentaho offers a cost-effective solution with its free Community Edition and affordable subscription-based Enterprise Edition for varying needs.
<p>Talend Data Integration offers scalable annual pricing, praised for cost-effectiveness but advanced features may increase costs, with strong support.</p>
My experience with Talend Data Integration's pricing, setup cost, and licensing is that it is a bit higher compared to other tools, making it not very affordable.
 

Valuable Features

Pentaho provides an intuitive, open-source platform for efficient ETL development and data integration with minimal coding and broad compatibility.
Talend Data Integration offers extensive connectivity, Java integration, automation, and centralized management, enhancing efficiency and stability in data processes.
I find the drag and drop feature in Pentaho Data Integration very useful for integration.
By automating daily data loading processes, we reduced manual effort by around three or four hours per day, which saved roughly 60 to 80 hours per month.
Flexibility is a key feature I appreciate about Talend Data Integration, especially the integration of Java within it and the ease of integrating with multiple source repositories such as GitHub and Bitbucket.
The best feature of Talend Data Integration is its multiple data DB components; we have almost all the components and also cloud versions, with TMC allowing us to perform data preparation and data stewardship.
 

Categories and Ranking

Pentaho Data Integration an...
Average Rating
8.0
Reviews Sentiment
6.9
Number of Reviews
53
Ranking in other categories
Data Integration (18th)
Talend Data Integration
Average Rating
8.2
Reviews Sentiment
6.5
Number of Reviews
8
Ranking in other categories
Cloud Data Integration (19th), Integration Platform as a Service (iPaaS) (14th)
 

Q&A Highlights

RS
Sep 09, 2021
 

Featured Reviews

Aqeel UR Rehman - PeerSpot reviewer
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…
Mubahir Rashid - PeerSpot reviewer
Offers flexibility and ease of integration while needing improvements in data flow management
I haven't worked with Talend Data Integration on real-time data processing; I have only seen the streaming component, and I think it can accommodate limited streaming, not at the level of larger big data platforms. Regarding ETL, Talend Data Integration is great, but concerning real-time data processing, people are not really sure about Talend Data Integration or might not know how it provides such types of flexibilities. I haven't worked on this aspect in Talend Data Integration, so this is definitely an area where it lacks. To elaborate on one drawback, if I am designing something in Talend Data Integration, I cannot backtrack in the flow. For example, if I read data from a source and transform it before applying complex aggregation in the third step, I cannot join this data with the second step. If I need to go back, I will have to use a memory component, or if I need to avoid memory consumption, I will have to read the data from step one again to join it with the third step.
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Answers from the Community

RS
Sep 9, 2021
Sep 9, 2021
There are two products I know about * TimeXtender : Microsoft based, Transformation logic is quiet good and can easily be extended with T-SQL , Has a semantic layer that generates metat data for cubes . price approx 40K$, works with tables . Attunity (Bought by Qlik) : technology agnostic , nice web interface , expensive &gt; 100K€. Works with transaction logs There are many other pure ETL ...
2 out of 12 answers
SS
Apr 6, 2020
We usually use Talend. Look here: https://community.talend.com/t5/Design-and-Development/The-way-from-OLTP-to-OLAP/td-p/116719
RS
Apr 7, 2020
Thanks Stefan !!! May I know if Talend is opensource /free ? It is available in all 3 editions - basic , standard end enterprise? it is capable to read data from all heterogeneous system like various types of data bases and files etc..?
 

Top Industries

By visitors reading reviews
Financial Services Firm
18%
Computer Software Company
11%
Government
8%
Manufacturing Company
7%
Financial Services Firm
15%
Computer Software Company
11%
Comms Service Provider
9%
Manufacturing Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business17
Midsize Enterprise16
Large Enterprise25
By reviewers
Company SizeCount
Small Business2
Midsize Enterprise2
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 do you like most about Talend Data integration?
The product's integration with PostgreSQL and Jira has been helpful for us. Its performance is good. However, we do not use it for large data sets.
What is your experience regarding pricing and costs for Talend Data integration?
The product pricing is considered very good, especially compared to other data integration tools in the market.
What needs improvement with Talend Data integration?
I haven't worked with Talend Data Integration on real-time data processing; I have only seen the streaming component, and I think it can accommodate limited streaming, not at the level of larger bi...
 

Also Known As

Hitachi Lumada Data Integration, Kettle, Pentaho Data Integration
Talend Cloud Integration, Talend Integration Cloud, Talend Cloud Remote Engine for AWS
 

Overview

 

Sample Customers

66Controls, Providential Revenue Agency of Ro Negro, NOAA Information Systems, Swiss Real Estate Institute
ACCOR, ADR, L'OREAL, AstraZeneca
Find out what your peers are saying about Pentaho Data Integration and Analytics vs. Talend Data Integration and other solutions. Updated: September 2025.
869,760 professionals have used our research since 2012.