Amazon EMR vs Pentaho Data Integration and Analytics comparison

The compared Amazon Web Services (AWS) and Hitachi Vantara solutions aren't in the same category. Amazon Web Services (AWS) is ranked #3 in H , with an average rating of 7.8, and holds a 10.8% mindshare in the category. Hitachi Vantara is ranked #11 in DI , with an average rating of 7.6, and holds a 1.5% mindshare. Additionally, 83% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 95% of Hitachi Vantara users who would recommend it.

Amazon EMR

Read 25 Amazon EMR reviews

1,599 Views
560 Comparison Views

83% willing to recommend

Pentaho Data Integration an...

Read 59 Pentaho Data Integration and Analytics reviews

3,113 Views
2,428 Comparison Views

95% willing to recommend

Amazon EMR

Pentaho Data Integration an...

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Executive Summary

We performed a comparison between Amazon EMR and Pentaho Data Integration and Analytics based on real PeerSpot user reviews.

Find out what your peers are saying about Apache, Cloudera, Amazon Web Services (AWS) and others in Hadoop.

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Hadoop

December 2025

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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

4.8

Amazon EMR offers cost savings and ROI benefits, with some users experiencing up to 20% cost reduction and high returns.

Sentiment score

7.2

Pentaho Data Integration offers cost-effective, efficient ETL solutions with significant time savings, enhancing IT processes despite perceived obsolescence.

No quotes available

For more quotes and insights, download the Amazon EMR report

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.

Michelle Lawson

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.

Amol Dhormare

Data Integration Developer at a tech vendor with 201-500 employees

For more quotes and insights, download the Pentaho Data Integration and Analytics report

Customer Service

Sentiment score

7.9

Amazon EMR customer service varies, with generally responsive support despite reported delays and occasional gaps in integration assistance.

Sentiment score

5.1

Pentaho's support is praised for knowledge and responsiveness, but response times vary, especially for the community edition.

They help with billing, cost determination, IAM properties, security compliance, and deployment and migration activities.

Mirza Mujtaba Baig

Lead AWS Data Engineer at Fission Labs

We get all call support, screen sharing support, and immediate support, so there are no problems.

reviewer1343079

Senior Chief Engineer (Enterprise System Presales/Postsales) at a tech vendor with 10,001+ employees

I would rate the technical support from Amazon as ten out of ten.

reviewer2043696

Senior Technical Engineer at a transportation company with 5,001-10,000 employees

For more quotes and insights, download the Amazon EMR report

24/7 assistance is available for the Enterprise Edition.

Jayakrishnanmg MG

Data architect at a tech vendor with 10,001+ employees

take the time to understand our business requirements, offering appropriate recommendations.

Amol Dhormare

Data Integration Developer at a tech vendor with 201-500 employees

Communication with the vendor is challenging

Jefferson Hernandez

Data Architecture and Engineering Specialist at coprocenva

For more quotes and insights, download the Pentaho Data Integration and Analytics report

Scalability Issues

Sentiment score

7.4

Amazon EMR efficiently scales for businesses, offering customizable cluster options to manage diverse data sizes and enterprise demands.

Sentiment score

7.2

Pentaho scales well for small to medium data, but may struggle with large datasets, fitting diverse organizational roles.

Scalability can be provisioned using the auto-scaling feature, EC2 instances, on-demand instances, and storage locations like block storage, S3, or file storage.

Mirza Mujtaba Baig

Lead AWS Data Engineer at Fission Labs

For more quotes and insights, download the Amazon EMR report

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.

reviewer2787603

Data engineer at a educational organization with 1,001-5,000 employees

Pentaho Data Integration handles larger datasets better.

Jefferson Hernandez

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.

Jayakrishnanmg MG

Data architect at a tech vendor with 10,001+ employees

For more quotes and insights, download the Pentaho Data Integration and Analytics report

Stability Issues

Sentiment score

7.7

Amazon EMR is praised for stability and reliability, with high ratings due to its configurability and robust features.

Sentiment score

7.1

Pentaho is generally stable and reliable, though occasional memory issues and bugs occur, especially in community editions.

Regular updates, patch installations, monitoring, logging, alerting, and disaster recovery activities are crucial for maintaining stability.

Mirza Mujtaba Baig

Lead AWS Data Engineer at Fission Labs

For more quotes and insights, download the Amazon EMR report

Performance issues arise due to reliance on a flowchart-based mechanism instead of scripts, which can lead to longer execution times.

Jayakrishnanmg MG

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.

Alberto Pedro

Founder-CEO at Ubuntu Analytica

It's pretty stable, however, it struggles when dealing with smaller amounts of data.

Jefferson Hernandez

Data Architecture and Engineering Specialist at coprocenva

For more quotes and insights, download the Pentaho Data Integration and Analytics report

Room For Improvement

Amazon EMR users face challenges with customization, stability, onboarding, cost optimization, task speed, and demand enhanced integration and security.

Pentaho needs improved logging, debugging, user interface, performance, environment management, cloud support, documentation, and user feedback integration.

The cost factor differs significantly. When you run Spark application on EKS, you run at the pod level, so you can control the compute cost. But in Amazon EMR, when you have to run one application, you have to launch the entire EC2.

reviewer1343079

Senior Chief Engineer (Enterprise System Presales/Postsales) at a tech vendor with 10,001+ employees

There is room for improvement with respect to retries, handling the volume of data on S3 buckets, cluster provisioning, scaling, termination, security, and integration between services like S3, Glue, Lake Formation, and DynamoDB.

Mirza Mujtaba Baig

Lead AWS Data Engineer at Fission Labs

I have thoughts on what would be great to see in the product, such as AI/ML features or additional options.

reviewer2043696

Senior Technical Engineer at a transportation company with 5,001-10,000 employees

For more quotes and insights, download the Amazon EMR report

We should also explore more effective partitioning for parallel processing and fine-tuning database connections to reduce load times and improve ETL speed.

Amol Dhormare

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.

Alberto Pedro

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.

Jayakrishnanmg MG

Data architect at a tech vendor with 10,001+ employees

For more quotes and insights, download the Pentaho Data Integration and Analytics report

Setup Cost

Amazon EMR pricing is variable, potentially costly, but users can manage expenses with strategic resource and instance management.

Pentaho Data Integration provides free and paid versions, with users valuing cost-effectiveness despite rising Enterprise Edition prices.

Costs are involved based on cluster resources, data volumes, EC2 instances, instance sizes, Kubernetes, Docker services, storage, and data transfers.

Mirza Mujtaba Baig

Lead AWS Data Engineer at Fission Labs

I would rate the price for Amazon EMR, where one is high and ten is low, as a good one.

reviewer2043696

Senior Technical Engineer at a transportation company with 5,001-10,000 employees

For more quotes and insights, download the Amazon EMR report

I use the community version of Pentaho Data Integration and Analytics, and I do not need additional costs.

JuanCarlosMartinezLara

Project Manager at Laberit

The setup cost was minimal, and the pricing experience was pretty good.

reviewer2787603

Data engineer at a educational organization with 1,001-5,000 employees

For more quotes and insights, download the Pentaho Data Integration and Analytics report

Valuable Features

Amazon EMR offers scalable, cost-effective big data management with integration, flexibility, security, and seamless Hadoop and Spark processing.

Pentaho offers intuitive data integration with extensive customization, supporting rapid ETL development, big data, and minimal coding.

Amazon EMR helps in scalability, real-time and batch processing of data, handling efficient data sources, and managing data lakes, data stores, and data marts on file systems and in S3 buckets.

Mirza Mujtaba Baig

Lead AWS Data Engineer at Fission Labs

Amazon EMR provides out-of-the-box functionality because we can deploy and get Spark functionality over Hadoop.

reviewer1343079

Senior Chief Engineer (Enterprise System Presales/Postsales) at a tech vendor with 10,001+ employees

The features at Amazon EMR that I have found most valuable are fully customizable functions.

reviewer2043696

Senior Technical Engineer at a transportation company with 5,001-10,000 employees

For more quotes and insights, download the Amazon EMR report

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.

Michelle Lawson

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.

Amol Dhormare

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.

JuanCarlosMartinezLara

Project Manager at Laberit

For more quotes and insights, download the Pentaho Data Integration and Analytics report

Categories and Ranking

Amazon EMR

Average Rating

7.8

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Hadoop (3rd), Cloud Data Warehouse (13th)

Pentaho Data Integration an...

Average Rating

8.0

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

Data Integration (11th)

Mindshare comparison

Amazon EMR and Pentaho Data Integration and Analytics aren’t in the same category and serve different purposes. Amazon EMR is designed for Hadoop and holds a mindshare of 10.8%, down 14.2% compared to last year.
Pentaho Data Integration and Analytics, on the other hand, focuses on Data Integration, holds 1.5% mindshare, up 1.3% since last year.

Hadoop Market Share Distribution
Product	Market Share (%)
Amazon EMR	10.8%
Cloudera Distribution for Hadoop	15.1%
HPE Data Fabric	14.9%
Other	59.2%

Hadoop

Data Integration Market Share Distribution
Product	Market Share (%)
Pentaho Data Integration and Analytics	1.5%
SSIS	4.0%
Informatica Intelligent Data Management Cloud (IDMC)	3.7%
Other	90.8%

Data Integration

Featured Reviews

reviewer1343079

Senior Chief Engineer (Enterprise System Presales/Postsales) at a tech vendor with 10,001+ employees

Has simplified ETL workflows with on-demand processing but needs improved cost efficiency and visibility

I have used AWS Glue with S3 for making tables and databases, but regarding Amazon EMR, I do not remember much as we are currently using it very minimally. This is my observation: In EKS, we have had to deploy by ourselves because EKS does not provide the Hadoop framework, Spark, Hive, and everything, but we have completed all the deployment ourselves. Whereas Amazon EMR provides all these things. The cost factor differs significantly. When you run Spark application on EKS, you run at the pod level, so you can control the compute cost. But in Amazon EMR, when you have to run one application, you have to launch the entire EC2. In Qubole, the interface was very good. I could see many details because in Amazon EMR console, very few details are available. In Qubole, at one link, you can get all the details of what is happening, how the processes are running, and the cost decreased by using Qubole. I found Qubole more user-friendly and cost-effective. From the security point of view, we had to open some access rights to Qubole, which might be a drawback in comparison to Amazon EMR which is native to AWS.

Read full review

Michelle Lawson

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.

Read full review

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Top Industries

By visitors reading reviews

Financial Services Firm

22%

Educational Organization

13%

Computer Software Company

Healthcare Company

Financial Services Firm

15%

Educational Organization

Computer Software Company

Government

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	6
Midsize Enterprise	5
Large Enterprise	12

By reviewers
Company Size	Count
Small Business	18
Midsize Enterprise	18
Large Enterprise	29

Questions from the Community

What is your experience regarding pricing and costs for Amazon EMR?

Compared to others, Amazon seems efficient and is considered good for Big Data workloads. Costs are involved based on cluster resources, data volumes, EC2 ( /products/amazon-ec2-reviews ) instances...

See all answers

What needs improvement with Amazon EMR?

See all answers

What advice do you have for others considering Amazon EMR?

I am working on Amazon EMR but not extensively. Basically, our work is data transformation. Our pipelines work on that exclusively. We have Spark applications, and earlier, we used Amazon EMR exten...

See all answers

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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Comparisons

Snowflake vs Amazon EMR

Compared 27% of the time

Cloudera Distribution for Hadoop vs Amazon EMR

Compared 14% of the time

Amazon Redshift vs Amazon EMR

Compared 9% of the time

Apache Spark vs Amazon EMR

Compared 9% of the time

Cloudera Data Platform vs Amazon EMR

Compared 8% of the time

More Amazon EMR Competitors

Oracle Data Integrator (ODI) vs Pentaho Data Integration and Analytics

Compared 9% of the time

Informatica PowerCenter vs Pentaho Data Integration and Analytics

Compared 9% of the time

SnapLogic vs Pentaho Data Integration and Analytics

Compared 8% of the time

Airbyte Cloud vs Pentaho Data Integration and Analytics

Compared 8% of the time

SSIS vs Pentaho Data Integration and Analytics

Compared 6% of the time

More Pentaho Data Integration and Analytics Competitors

Product Reports

Buyer's Guide

Amazon EMR

January 2026

Download Amazon EMR product report

Buyer's Guide

Pentaho Data Integration and Analytics

December 2025

Pentaho Data Integration and Analytics report

Download Pentaho Data Integration and Analytics product report

Also Known As

Amazon Elastic MapReduce

Hitachi Lumada Data Integration, Kettle, Pentaho Data Integration

Overview

Amazon Elastic MapReduce (Amazon EMR) is a web service that makes it easy to quickly and cost-effectively process vast amounts of data. Amazon EMR simplifies big data processing, providing a managed Hadoop framework that makes it easy, fast, and cost-effective for you to distribute and process vast amounts of your data across dynamically scalable Amazon EC2 instances.

Amazon Web Services (AWS)

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

Yelp

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

Find out what your peers are saying about Apache, Cloudera, Amazon Web Services (AWS) and others in Hadoop. Updated: December 2025.

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