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Fivetran vs Pentaho Data Integration and Analytics comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 19, 2024

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
6.6
Fivetran offers significant time and cost-saving benefits, simplifying data integration and maintenance while reducing reliance on data engineers.
Sentiment score
7.2
Pentaho Data Integration offers cost-effective, efficient ETL solutions with significant time savings, enhancing IT processes despite perceived obsolescence.
Fivetran provides time savings, cost reductions, and improvements in data quality.
Team Lead Data Engineer at Data Pilot
It saves us the effort of having one to two data engineers managing the tasks that Fivetran handles.
Lead Data Engineer at Sensilab
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 vendor with 201-500 employees
 

Customer Service

Sentiment score
6.0
Fivetran customer support is efficient yet sometimes slow, rated 7-9, with calls for improved critical issue communication.
Sentiment score
5.1
Pentaho's support is praised for knowledge and responsiveness, but response times vary, especially for the community edition.
If they could provide support more quickly, that would be great.
Manager at InfoCepts
The technical support provided by Fivetran has generally been good, with a response time and competence that I would rate as good.
Lead Data Engineer at Sensilab
Customer support from Fivetran is quite good; it's really nice and responsive.
Team Lead Data Engineer at Data Pilot
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 vendor with 201-500 employees
Communication with the vendor is challenging
Data Architecture and Engineering Specialist at coprocenva
 

Scalability Issues

Sentiment score
7.1
Fivetran scales well for various businesses, accommodating data needs but can be costly and complex for smaller enterprises.
Sentiment score
7.2
Pentaho scales well for small to medium data, but may struggle with large datasets, fitting diverse organizational roles.
Fivetran's scalability has been tested effectively, and it has been working well for our organization's growing data needs.
Team Lead Data Engineer at Data Pilot
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
Pentaho Data Integration handles larger datasets better.
Data Architecture and Engineering Specialist at coprocenva
Pentaho Data Integration and Analytics' scalability is commendable, as it allows us to scale up according to our needs.
Data architect at a tech vendor with 10,001+ employees
 

Stability Issues

Sentiment score
8.0
Users generally express high satisfaction with Fivetran's stable reliability, despite occasional issues with API connections and custom setups.
Sentiment score
7.1
Pentaho is generally stable and reliable, though occasional memory issues and bugs occur, especially in community editions.
They have 99.9% accuracy on the data load and they maintain transparency.
Manager at InfoCepts
In my experience, Fivetran is stable with very few instances of downtime or reliability issues.
Team Lead Data Engineer at Data Pilot
During the duration of the time that we used Fivetran, it was highly stable.
Founder at a marketing services firm with 1-10 employees
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
 

Room For Improvement

Fivetran needs improvements in connectors, real-time processing, user interface, pricing, support, documentation, and integration capabilities.
Pentaho needs improved logging, debugging, user interface, performance, environment management, cloud support, documentation, and user feedback integration.
From a cost perspective, if the number of connectors is lesser, then Fivetran is not the most cost-efficient option.
Founder at a marketing services firm with 1-10 employees
I want more flexibility during ingestion, specifically for transformations needed beforehand.
Team Lead Data Engineer at Data Pilot
Fivetran could improve by adapting more for technical users and by providing more options for such users.
Lead Data Engineer at Sensilab
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 vendor with 201-500 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
I also lack the option to use programming languages beyond Python and SQL, and a provision to incorporate Scala code in the scripting component would be beneficial.
Data architect at a tech vendor with 10,001+ employees
 

Setup Cost

Fivetran's pricing is high, favoring larger enterprises with discounts available; smaller companies may find it prohibitive.
Pentaho Data Integration provides free and paid versions, with users valuing cost-effectiveness despite rising Enterprise Edition prices.
Our current yearly contract for Fivetran is approximately $70,000.
Lead Data Engineer at Sensilab
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
 

Valuable Features

Fivetran is valued for seamless data replication, user-friendly interface, scalability, and minimal coding, enabling efficient data handling.
Pentaho offers intuitive data integration with extensive customization, supporting rapid ETL development, big data, and minimal coding.
The most valuable feature of Fivetran is its built-in connectors for a wide range of data sources.
Lead Data Engineer at Sensilab
The real-time data replication is what I see best in the market where it reduces the overhead of customers needing to maintain the pipeline.
Manager at InfoCepts
The ability to seamlessly integrate with a large variety of data sources is valuable.
Founder at a marketing services firm with 1-10 employees
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 vendor with 201-500 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
 

Categories and Ranking

Fivetran
Ranking in Data Integration
13th
Average Rating
8.2
Reviews Sentiment
6.8
Number of Reviews
29
Ranking in other categories
Data Replication (3rd), Cloud Data Integration (9th)
Pentaho Data Integration an...
Ranking in Data Integration
11th
Average Rating
8.0
Reviews Sentiment
6.7
Number of Reviews
59
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of January 2026, in the Data Integration category, the mindshare of Fivetran is 1.7%, down from 2.2% compared to the previous year. The mindshare of Pentaho Data Integration and Analytics is 1.5%, up from 1.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration Market Share Distribution
ProductMarket Share (%)
Pentaho Data Integration and Analytics1.5%
Fivetran1.7%
Other96.8%
Data Integration
 

Featured Reviews

Hafiz Usman - PeerSpot reviewer
Team Lead Data Engineer at Data Pilot
Has accelerated data integration workflows and supports seamless development of custom connectors
I've worked extensively with Fivetran, mainly used for extraction purposes, and I've worked with the transformation element in it as well. Fivetran not only has built-in connectors but also provides SDK connectors, allowing us to develop our own connectors in an easy manner. I don't have to write raw Python scripts or dumping scripts; it offers straightforward examples and guidelines, making it much simpler to develop custom connectors inside Fivetran. We've been able to develop many custom connectors as well, which is unique and beneficial for having everything centralized instead of having those connectors located elsewhere. One of the best features by Fivetran is its clean, simple, and intuitive UI. It includes a transformation section where I can deploy my DBT queries and scripts. It also supplies good tracking capabilities for billing estimates and user permissions, allowing for customization to the desired level. The number of connectors it has remains a standout feature, and within connectors, the options available are very helpful. Although it sometimes appears static due to its built-in nature, it offers good flexibility for data transformation and caching, which I appreciate because it saves us extensive script-writing time.
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.
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Top Industries

By visitors reading reviews
Computer Software Company
12%
Manufacturing Company
11%
Financial Services Firm
10%
Retailer
7%
Financial Services Firm
15%
Educational Organization
9%
Computer Software Company
8%
Government
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business10
Midsize Enterprise7
Large Enterprise16
By reviewers
Company SizeCount
Small Business18
Midsize Enterprise18
Large Enterprise29
 

Questions from the Community

What's the deal with the HVR software acquisition?
As a user of HVR Software I followed this deal closely. Fivetran is apparently trying to establish more in its sector and by buying an already established data replication software, they become som...
Does HVR Software provide reliable insights?
I honestly can't think of another data replication software that can give you better statistics and insight than HVR Software. There's the feature for topology and statistics and both of them can ...
How much traffic can HVR Software handle?
As someone who works at a company where a high volume of information is replicated and has tried several data replication softwares, I can tell you that you're looking at the right one. HVR Softwar...
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...
 

Also Known As

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

Overview

 

Sample Customers

Autodesk, Condé Nast, JetBlue, Morgan Stanley, OpenAI, LVMH, Pfizer, Verizon, SpotifyNational Australia Bank, Saks, Cemex, Okta, Dropbox, Pitney Bowes, World Fuel Services,Lufthansa, AutoZone, ASICS, ASOS, Coupa, Databricks, Hermes, New Relic, Intercom,Canva, Honeywell, Square, DocuSign, Nandos, Oldcastle Infrastructure
66Controls, Providential Revenue Agency of Ro Negro, NOAA Information Systems, Swiss Real Estate Institute
Find out what your peers are saying about Fivetran vs. Pentaho Data Integration and Analytics and other solutions. Updated: December 2025.
879,853 professionals have used our research since 2012.