Pentaho Data Integration and Analytics vs Teradata comparison

Pentaho Data Integration an...

Read 83 Teradata reviews

26,021 Views
3,903 Comparison Views

88% willing to recommend

Comparison Buyer's Guide

Download the report

Executive SummaryUpdated on Nov 8, 2026

Pentaho Data Integration and Analytics and Teradata compete in the data solutions category, each offering unique benefits and limitations. Pentaho may have the upper hand for businesses prioritizing ease of use and cost-effectiveness, whereas Teradata offers superior performance for handling massive data volumes.

Features: Pentaho highlights its intuitive drag-and-drop interface, reducing the need for scripting, and supports rapid ETL development with extensive plugin options. It's versatile, integrating well with various big data technologies. Teradata's strengths include excellent performance with parallel processing, stability, and scalability, making it ideal for managing large data operations.

Room for Improvement: Pentaho's areas for improvement include administration and support for large datasets, interface enhancements, and better native connectors. Teradata users point to its limitations with unstructured data, high costs, and the need for more robust cloud capabilities.

Ease of Deployment and Customer Service: Pentaho is often used on-premises but faces inconsistent tech support from Hitachi, though it's bolstered by community assistance. Teradata offers hybrid and cloud deployments, though setup cost and complexity can be challenging. Teradata's customer service is responsive but may be slow in resolving issues.

Pricing and ROI: Pentaho's Community Edition is free, making it attractive for businesses seeking cost-effective solutions, and its pricing models facilitate significant ROI through reduced development time. Teradata, although expensive, is suited for larger enterprises that benefit from its robust performance and scalability, delivering a strong ROI for extensive data workloads.

To learn more, read our detailed Pentaho Data Integration and Analytics vs. Teradata Report (Updated: November 2026).

Pentaho Data Integration and Analytics vs. Teradata

November 2026

Download the complete report

Helped 921,749 peers since 2012

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

6.9

Teradata significantly boosts speed, efficiency, and ROI, with studies showing a 427% average ROI over three years.

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.

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.

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

Data Analyst at Telefonica Digital

At least fifteen to twenty percent of our time has been saved using Teradata, which has positively affected team productivity and business outcomes.

Shugoyal Shugoyal

Senior product analyst at a financial services firm with 10,001+ employees

Independent research showed that Teradata VantageCloud users achieved an average ROI of 427% across three years with payback under a year, demonstrating the platform's ability to deliver a strong financial return.

Engineers at a consultancy with 11-50 employees

We have realized a return on investment, with a reduction of staff from 27 to eight, and our current return on investment is approximately 14%.

For more quotes and insights, download the Teradata report

Interim and Fractional CIO and CTO at a consultancy with 11-50 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

7.1

Teradata's support is praised for professionalism and responsiveness, but feedback on speed is mixed; training resources enhance service.

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.

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

Data Integration Developer at a tech services company with 1,001-5,000 employees

Communication with the vendor is challenging

Jefferson Hernandez

Data Architecture and Engineering Specialist at coprocenva

The customer support for Teradata has been great.

Interim and Fractional CIO and CTO at a consultancy with 11-50 employees

They are responsive and knowledgeable, and the documentation is very helpful.

For more quotes and insights, download the Teradata report

Engineers at a consultancy with 11-50 employees

Teradata's customer support was excellent.

Sanooj Mananot

CEo at CloudPositive

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

7.5

Teradata offers scalable cloud and on-premise solutions with strong adaptability, overcoming hardware limitations and cost challenges efficiently.

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

Its ability to scale horizontally in cloud-native architectures or for massive real-time processing is limited.

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

Data Analyst at Telefonica Digital

Pentaho Data Integration handles larger datasets better.

Jefferson Hernandez

Data Architecture and Engineering Specialist at coprocenva

Whenever we need more resources, we can add that in Teradata, and when not needed, we can scale it down as well.

Shugoyal Shugoyal

Senior product analyst at a financial services firm with 10,001+ employees

This flexibility allows organizations to scale according to their needs, balancing performance, cost, and compliance requirements.

Engineers at a consultancy with 11-50 employees

The scalability of Teradata is flawless.

For more quotes and insights, download the Teradata report

Senior Data Engineer at a media company 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

8.3

Teradata's robust architecture ensures exceptional stability and reliability, with minimal downtime and high user ratings despite some integration challenges.

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

Its massively parallel process architecture allows the platform to distribute workload efficiently, enabling organizations to run heavy analytic queries without compromising speed or stability.

Engineers at a consultancy with 11-50 employees

Teradata is stable.

For more quotes and insights, download the Teradata report

Senior Data Engineer at a media company with 1,001-5,000 employees

Room For Improvement

Pentaho Data Integration needs improved performance, scalability, cloud integration, real-time processing, updated interface, and better documentation and support.

Teradata requires improvements in transaction processing, scalability, UI, cost-effectiveness, analytics features, integration capabilities, and security measures.

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.

Alberto Pedro

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.

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

Data Analyst at Telefonica Digital

I want to highlight two features for improvement: first, storing data in various formats without requiring a tabular structure, accommodating unstructured data; and second, adding AI ML features to better integrate Gen AI, LLM concepts, and user-friendly experiences such as text-to-SQL capabilities.

Ganesh Verma

Data Engineer at Tredence Inc.

The most challenging aspect is finding Teradata resources, so we are focusing on internal training and looking for more Teradata experts.

For more quotes and insights, download the Teradata report

Interim and Fractional CIO and CTO at a consultancy with 11-50 employees

If the same thing were available in a web interface, that would be really helpful.

Shugoyal Shugoyal

Senior product analyst at a financial services firm with 10,001+ employees

Setup Cost

Pentaho provides cost-effective data integration and analytics with a free Community Edition and a competitively priced Enterprise Edition.

Teradata offers high-value analytics with flexible pricing, excelling in performance and ROI, ideal for large enterprises and data-intensive sectors.

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

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.

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

Data Analyst at Telefonica Digital

Role-based access control (RBAC), strong audit and compliance features, high availability, fault tolerance, and encrypted data at rest and in-transit are key features.

Engineers at a consultancy with 11-50 employees

We spent roughly $295,000 on setup costs.

Interim and Fractional CIO and CTO at a consultancy with 11-50 employees

I found Teradata to be somewhat costlier when considering other options.

For more quotes and insights, download the Teradata report

Senior Data Engineer at a media company with 1,001-5,000 employees

Valuable Features

Pentaho Data Integration is user-friendly, versatile, and integrates well with data sources, supporting automation and minimal coding for efficiency.

Teradata excels in parallel processing, scalability, and performance, offering robust data management, security, and integration for efficient data warehousing.

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.

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

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.

JuanCarlosMartinezLara

Project Manager at Laberit

Teradata's security helps our organization meet compliance requirements such as GDPR and IFRS, and it is particularly essential for revenue contracting or revenue recognition.

Interim and Fractional CIO and CTO at a consultancy with 11-50 employees

Its architecture allows information to be processed efficiently while maintaining stable performance, even in highly demanding environments.

Engineers at a consultancy with 11-50 employees

It facilitates data integration, where we integrate and analyze data from various sources, making it a powerful and high-quality reliable solution for the company.

For more quotes and insights, download the Teradata report

Senior Data Engineer at a media company with 1,001-5,000 employees

Categories and Ranking

Pentaho Data Integration an...

Ranking in Data Integration

8th

Average Rating

8.0

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

No ranking in other categories

Teradata

Ranking in Data Integration

23rd

Average Rating

8.2

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Customer Experience Management (9th), Backup and Recovery (23rd), Relational Databases Tools (7th), Data Warehouse (3rd), BI (Business Intelligence) Tools (15th), Marketing Management (6th), Cloud Data Warehouse (5th), Database Management Systems (DBMS) (8th)

Mindshare comparison

As of November 2026, in the Data Integration category, the mindshare of Pentaho Data Integration and Analytics is 1.9%, up from 1.6% compared to the previous year. The mindshare of Teradata is 1.2%, up from 0.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration Mindshare Distribution
Product	Mindshare (%)
Pentaho Data Integration and Analytics	1.9%
Teradata	1.2%
Other	96.9%

Data Integration

Featured Reviews

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

Delivers consistent performance and enables advanced analytics across complex data environments

Engineers at a consultancy with 11-50 employees

Teradata stands out as a solid platform for managing and analyzing large volumes of data. Its architecture allows information to be processed efficiently while maintaining stable performance, even in highly demanding environments. One of its most notable strengths is the ability to run complex queries at high speed, which is essential for organizations that require timely and reliable analytics. Teradata offers a well-integrated ecosystem that supports working with different types of data and enables scalability as organizational needs grow. Its focus on advanced analytics, integration with modern business intelligence tools, and the ability to operate both on-premise and in the cloud make it a versatile solution for data warehousing and large-scale processing. Teradata's stability, technological maturity, and the availability of strong documentation and best practices are noteworthy. I consider Teradata to be a tool with great potential for any organization looking to enhance its analytical capabilities, optimize data processing, and move toward more data-driven decision-making. Teradata stands out as a solid platform for managing a large volume of data in different projects. Its architecture allows information to be processed efficiently while maintaining stable performance, even in high-demanding environments. A well-integrated AI ecosystem that supports working with different types of data and enables scalability as organizational needs grow across different kinds of enterprises or organizations. The focus on advanced analytics integration with modern business intelligence tools is particularly valuable. Teradata combines a powerful parallel process and optimizing SQL engine with a highly scalable architecture allowing businesses to execute complex queries and analytics in real-time. It supports multi-cloud, hybrid, and on-premise environments, giving organizations flexibility to choose the setup that best aligns with their strategy. One of the biggest strengths is the ability to unify disparate data sources and support high concurrency, enabling different teams, such as analytics, operations, BI, and data science, to access consistent, trusted data across the enterprise.

Read full review

See which vendors are best for you

Use our free recommendation engine to learn which Data Integration solutions are best for your needs.

See recommendations

921,749 professionals have used our research since 2012.

Comparison Review

it_user232068

Senior Data Architect at a pharma/biotech company with 1,001-5,000 employees

Aug 5, 2015

Netezza vs. Teradata

Original published at https://www.linkedin.com/pulse/should-i-choose-net Two leading Massively Parallel Processing (MPP) architectures for Data Warehousing (DW) are IBM PureData System for Analytics (formerly Netezza) and Teradata. I thought talking about the similarities and differences…

Read full review

Top Industries

By visitors reading reviews

Outsourcing Company

11%

Financial Services Firm

11%

Construction Company

Manufacturing Company

Financial Services Firm

16%

Outsourcing Company

10%

Manufacturing Company

Construction Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	18
Midsize Enterprise	17
Large Enterprise	32

By reviewers
Company Size	Count
Small Business	28
Midsize Enterprise	13
Large Enterprise	53

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...

Comparing Teradata and Oracle Database, which product do you think is better and why?

I have spoken to my colleagues about this comparison and in our collective opinion, the reason why some people may declare Teradata better than Oracle is the pricing. Both solutions are quite simi...

Which companies use Teradata and who is it most suitable for?

Before my organization implemented this solution, we researched which big brands were using Teradata, so we knew if it would be compatible with our field. According to the product's site, the ...

Is Teradata a difficult solution to work with?

Teradata is not a difficult product to work with, especially since they offer you technical support at all levels if you just ask. There are some features that may cause difficulties - for example,...

Informatica PowerCenter vs Pentaho Data Integration and Analytics

Comparisons

Compared 8% of the time

SSIS vs Pentaho Data Integration and Analytics

Compared 7% of the time

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

Compared 7% of the time

Airbyte Cloud vs Pentaho Data Integration and Analytics

Compared 6% of the time

StreamSets vs Pentaho Data Integration and Analytics

Compared 4% of the time

More Pentaho Data Integration and Analytics Competitors

Oracle Database vs Teradata

Compared 3% of the time

Snowflake vs Teradata

Compared 3% of the time

SQL Server vs Teradata

Compared 3% of the time

Oracle Exadata vs Teradata

Compared 2% of the time

OpenText Analytics Database (Vertica) vs Teradata

Compared 2% of the time

More Teradata Competitors

Product Reports

Pentaho Data Integration and Analytics

October 2026

Pentaho Data Integration and Analytics report

Download Pentaho Data Integration and Analytics product report

Download Teradata product report

October 2026

Also Known As

Hitachi Lumada Data Integration, Kettle, Pentaho Data Integration

IntelliFlex, Aster Data Map Reduce, , QueryGrid, Customer Interaction Manager, Digital Marketing Center, Data Mover, Data Stream Architecture, Teradata Vantage Enterprise (DIY)

Overview

Pentaho Data Integration and Analytics offers an intuitive platform for data workflows, enabling users to easily manage ETL processes across diverse data formats, ensuring seamless automation and development.

With its drag-and-drop interface, Pentaho allows for efficient ETL workflows without extensive coding. It supports a multitude of data formats and sources such as SQL, NoSQL, Hadoop, CSV, and JSON. Advanced features like metadata injection and API integration enable seamless automation. However, improvements in big data performance, better cloud service integration, and enhanced real-time processing capabilities can enhance user experience. Additional connectors and improved documentation are sought after by many. Providing support for more programming languages and optimizing memory usage also presents opportunities for enhancement.

What are the key features of Pentaho Data Integration and Analytics?

Drag-and-Drop Interface: Simplifies building workflows without coding.
Broad Data Support: Accommodates SQL, NoSQL, Hadoop, CSV, and JSON.
Advanced Automation: Leverages metadata injection and API integration.
Cost-Effectiveness: Offers value with comprehensive big data support.

What benefits should be evaluated in Pentaho reviews?

Versatility: Supports both on-premises and cloud solutions.
Data Integration: Facilitates seamless connection of disparate data sources.
Transparency: Enhances data management and reporting.
Scalability: Adapts to the growing data needs of organizations.

Pentaho is employed across finance, healthcare, and retail industries for ETL processes. It's instrumental in integrating data from ERP, SAP systems, Excel, and APIs to develop comprehensive reports and data models. Companies rely on its capabilities for both on-premises and cloud deployments, improving data transparency and management.

Hitachi Vantara

Teradata is a powerful tool for handling substantial data volumes with its parallel processing architecture, supporting both cloud and on-premise environments efficiently. It offers impressive capabilities for fast query processing, data integration, and real-time reporting, making it suitable for diverse industrial applications.

Known for its robust parallel processing capabilities, Teradata effectively manages large datasets and provides adaptable deployment across cloud and on-premise setups. It enhances performance and scalability with features like advanced query tuning, workload management, and strong security. Users appreciate its ease of use and automation features which support real-time data reporting. The optimizer and intelligent partitioning help improve query speed and efficiency, while multi-temperature data management optimizes data handling.

What are the key features of Teradata?

Parallel Processing Architecture: Enables efficient handling of substantial data volumes.
Cloud and On-Premise Deployment: Offers seamless adaptability across environments.
Query Tuning: Improves speed and performance of data retrieval processes.
Workload Management: Ensures optimal resource allocation for enhanced performance.
Robust Security: Provides high levels of data protection and system integrity.
Data Integration: Facilitates cohesive data management from multiple sources.
Automation for Real-time Reporting: Enhances timely data insights and decision-making.
Optimizer and Intelligent Partitioning: Further increase query speed and system efficiency.
Multi-Temperature Data Management: Optimizes the handling and retrieval of data.

What benefits and ROI do users look for?

Efficient Data Management: Facilitates smooth integration and processing of diverse data sets.
Scalability: Easy adjustment to increasing or decreasing data requirements.
Improved Performance: Fast query speeds and optimized resource use.
Comprehensive Security: Safeguards data integrity and accessibility.
Ease of Use: Simplifies data handling and operational processes.

In the finance, retail, and government sectors, Teradata is employed for data warehousing, business intelligence, and analytical processing. It handles vast datasets for activities like customer behavior modeling and enterprise data integration. Supporting efficient reporting and analytics, Teradata enhances data storage and processing, whether deployed on-premise or on cloud platforms.

Sample Customers

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

Netflix