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Fivetran vs Informatica PowerCenter vs Pentaho Data Integration and Analytics 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
6.5
Fivetran enhances efficiency and saves resources by reducing data engineering needs, though its cost may limit financial returns.
Sentiment score
8.1
Informatica PowerCenter is valued for its flexibility, stability, and effectiveness in handling diverse and complex data for reports.
Sentiment score
7.9
Pentaho offers cost-effective integration, reducing ETL time, lowering expenses, and enhancing competitiveness with open-source flexibility and efficiency.
It saves us the effort of having one to two data engineers managing the tasks that Fivetran handles.
It also plays a vital role in revenue calculations, net asset valuations, and other key factors that support customer data and investment data pipelines.
 

Customer Service

Sentiment score
6.2
Fivetran's support is responsive and effective, with enterprise plans offering especially timely assistance despite occasional delays.
Sentiment score
6.9
Customer service and technical support receive mixed reviews, highlighting varying levels of responsiveness, resource availability, and user experiences.
Sentiment score
5.2
Users rely on community support over customer service due to mixed experiences, despite responsive technical support and Hitachi's involvement.
If they could provide support more quickly, that would be great.
The technical support provided by Fivetran has generally been good, with a response time and competence that I would rate as good.
I like the technical support provided by Informatica.
I have occasionally needed to communicate with the technical support of Informatica PowerCenter, especially when raising cases for complex mappings and performance optimization to identify bottlenecks in transformations.
Communication with the vendor is challenging
 

Scalability Issues

Sentiment score
7.2
Fivetran scales effectively for all business sizes with adaptable costs, handling large data well but may incur higher expenses.
Sentiment score
6.8
Informatica PowerCenter excels in scalability and versatility for data management, though costs and setup complexity are concerns.
Sentiment score
7.3
Pentaho excels in scalability and efficient data handling but faces challenges with exceptionally large data and complex growth scenarios.
In the cloud, scaling up and down becomes easy when working with cloud providers.
For scalability, I would rate Informatica PowerCenter between eight to nine.
Pentaho Data Integration handles larger datasets better.
 

Stability Issues

Sentiment score
7.9
Fivetran is praised for stability and reliability, with strong data accuracy, self-recovery, and minimal downtime, despite rare issues.
Sentiment score
7.9
Informatica PowerCenter is highly rated for stability, with few issues, mostly resolved by hotfixes, ensuring reliable performance.
Sentiment score
7.1
Pentaho Data Integration offers reliability for small to midsize operations but may lag and freeze with complex uses.
They have 99.9% accuracy on the data load and they maintain transparency.
During the duration of the time that we used Fivetran, it was highly stable.
Informatica PowerCenter is stable and can scale well.
The product is very stable with very few issues encountered in production.
It's pretty stable, however, it struggles when dealing with smaller amounts of data.
 

Room For Improvement

Fivetran needs to improve database connections, user interface, data security, documentation, monitoring, cost efficiency, and customer support.
Informatica PowerCenter users seek improved affordability, a modern interface, better integration, and scalability for enhanced efficiency and user-friendliness.
Pentaho needs improvements in big data performance, error handling, UI, scheduling, backward compatibility, cloud integration, and Python support.
From a cost perspective, if the number of connectors is lesser, then Fivetran is not the most cost-efficient option.
Improvement in existing connectors with new features is desirable.
If Fivetran can build in more transformations, that would be really helpful in my opinion.
With Informatica PowerCenter, I am looking for an AI interface that looks at the underlying data model of the databases and the metadata of the tables, allowing the developer to provide instructions on what data sources to connect to and how to apply or create Transformations.
Informatica Cloud and its support becomes quite expensive for the organization compared to peers such as SnapLogic or Netezza, which offer lower pricing.
Utilizing more stored procedures from Oracle databases in an easy way would significantly boost performance.
Pentaho Data Integration is very friendly, it is not very useful when there isn't a lot of data to handle.
 

Setup Cost

Fivetran's pricing is seen as costly and complex, with negotiable discounts, auto-renewal issues, and tiered benefits for large enterprises.
Informatica PowerCenter, although costly, is valued by large enterprises for its comprehensive features and effective complex data handling.
Pentaho offers a cost-effective solution with its free Community Edition and affordable subscription-based Enterprise Edition for varying needs.
Our current yearly contract for Fivetran is approximately $70,000.
I find that the pricing and licensing for Informatica PowerCenter align with its quality.
The price of Informatica PowerCenter is high, especially for small and medium-sized businesses.
 

Valuable Features

Fivetran offers seamless data integration with ease of use, robust connectors, real-time replication, and integration with dbt for efficiency.
Informatica PowerCenter provides robust, scalable ETL solutions with user-friendly design, supporting extensive databases and seamless data integration.
Pentaho provides an intuitive, open-source platform for efficient ETL development and data integration with minimal coding and broad compatibility.
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.
The most valuable feature of Fivetran is its built-in connectors for a wide range of data sources.
The ability to seamlessly integrate with a large variety of data sources is valuable.
The system supports real-time integration, which is essential for many of my tasks.
The most valuable features of Informatica PowerCenter that I have found so far include transformations, the ease of connectivity with different source systems, and the parameter files.
The functions in Informatica PowerCenter that I have found most valuable are the way it manages the volume of data, the push down optimization, and the performance aspects of it, mostly related to parallelism techniques.
I find the drag and drop feature in Pentaho Data Integration very useful for integration.
 

Mindshare comparison

As of October 2025, in the Data Integration category, the mindshare of Fivetran is 2.0%, down from 2.1% compared to the previous year. The mindshare of Informatica PowerCenter is 6.0%, down from 11.0% compared to the previous year. The mindshare of Pentaho Data Integration and Analytics is 1.7%, up from 1.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration Market Share Distribution
ProductMarket Share (%)
Informatica PowerCenter6.0%
Fivetran2.0%
Pentaho Data Integration and Analytics1.7%
Other90.3%
Data Integration
 

Featured Reviews

Vigneswar Jeyaraj - PeerSpot reviewer
Real-time data replication and integration streamline processes and enhance productivity
The most valuable feature of Fivetran so far is the data replication. 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. Even when an error occurs, it automatically tries to solve the issue without manual interaction needed. The effectiveness of Fivetran's pre-built connectors in enhancing my customer's productivity is significant because everything is easily configurable. The documentation is very clear, so there's no difficulty in finding the necessary steps. Everything is pre-documented. The pre-built connectors that are available are excellent. Most functionalities are covered, and in most cases, it works according to expectations.
Garima Goel - PeerSpot reviewer
Has supported complex data pipeline creation but performance tuning and monitoring responsiveness need improvement
Sometimes, I see various performance issues with Informatica PowerCenter, including caching concerns, whether it's a joiner transformation or other transformations, so I believe the team can enhance the performance perspectives of these transformations. Additionally, sometimes the Informatica Monitor hangs or takes time to open the current run or logs, which the team can also look into. Informatica is transitioning to cloud solutions and discontinuing on-premise support after 2026, so when we discuss Informatica Cloud and its support, it becomes quite expensive for the organization compared to peers such as SnapLogic or Netezza, which offer lower pricing. Informatica Cloud Intelligence's pricing is notably high.
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…
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Comparison Review

it_user90069 - PeerSpot reviewer
Feb 20, 2014
Informatica PowerCenter vs. Microsoft SSIS - each technology has its advantages but also have similarities
Technology has made it easier for businesses to organize and manipulate data to get a clearer picture of what’s going on with their business. Notably, ETL tools have made managing huge amounts of data significantly easier and faster, boosting many organizations’ business intelligence operations…
 

Top Industries

By visitors reading reviews
Computer Software Company
12%
Financial Services Firm
12%
Manufacturing Company
11%
Retailer
6%
Financial Services Firm
19%
Computer Software Company
11%
Manufacturing Company
7%
Insurance Company
7%
Financial Services Firm
18%
Computer Software Company
11%
Government
8%
Manufacturing Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business9
Midsize Enterprise7
Large Enterprise16
By reviewers
Company SizeCount
Small Business15
Midsize Enterprise10
Large Enterprise72
By reviewers
Company SizeCount
Small Business17
Midsize Enterprise16
Large Enterprise25
 

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...
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...
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 replica...
How does Azure Data Factory compare with Informatica PowerCenter?
Azure Data Factory is flexible, modular, and works well. In terms of cost, it is not too pricey. It offers the stabil...
Which is better - SSIS or Informatica PowerCenter?
SSIS PowerPack is a group of drag and drop connectors for Microsoft SQL Server Integration Services, commonly called ...
Which Informatica product would you choose - PowerCenter or Cloud Data Integration?
Complex transformations can easily be achieved using PowerCenter, which has all the features and tools to establish a...
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.hitachivan...
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 Hi...
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 j...
 

Also Known As

No data available
PowerCenter
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
University of Texas MD Anderson Cancer Center, LexisNexis, Rabobank
66Controls, Providential Revenue Agency of Ro Negro, NOAA Information Systems, Swiss Real Estate Institute
Find out what your peers are saying about Microsoft, Informatica, Talend and others in Data Integration. Updated: September 2025.
868,759 professionals have used our research since 2012.