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Pentaho Business Analytics vs Teradata comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jan 12, 2025

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
5.9
Pentaho Business Analytics enhanced efficiency and output but faced ROI calculation challenges compared to alternatives like QlikView and Tableau.
Sentiment score
8.1
Teradata boosts analytics speed over 100%, enhancing customer service and satisfaction, with high ROI and user approval.
 

Customer Service

Sentiment score
6.8
Pentaho receives mixed feedback on support, with strong community engagement but varying customer service and documentation quality.
Sentiment score
7.1
Teradata's customer service is praised for expertise but criticized for delays, with ratings ranging from 6 to 10 out of 10.
The technical support from Teradata is quite advanced.
Customer support is very good, rated eight out of ten under our essential agreement.
 

Scalability Issues

Sentiment score
7.2
Pentaho scales well and fits organizational needs but may require admin expertise for complex environments and large data.
Sentiment score
7.4
Teradata is praised for its scalability, speed, and flexibility, despite some complexity and cost challenges in cloud environments.
This expansion can occur without incurring downtime or taking systems offline.
Scalability is complex as you need to purchase a license and coordinate with Teradata for additional disk space and CPU.
 

Stability Issues

Sentiment score
6.6
Pentaho Business Analytics is generally stable but has occasional Java caching, RAM, and subprocess issues with large databases.
Sentiment score
8.4
Teradata excels in stability with minimal downtime, robust architecture, 99.9% uptime, and reliable performance, despite minor large dataset issues.
It can handle large datasets.
I find the stability to be almost a ten out of ten.
The workload management and software maturity provide a reliable system.
 

Room For Improvement

Pentaho needs user interface, reporting, and visualization enhancements, along with better debugging, metadata management, and cost-effective licensing.
Teradata users seek better transaction processing, enhanced scalability, modern interface, cloud focus, advanced analytics, and improved support and documentation.
Pentaho Business Analytics is hard to learn and not suited for initial users as it requires knowledge of operating systems, Java, and other technical skills.
Unlike SQL and Oracle, which have in-built replication capabilities, we don't have similar functionality with Teradata.
 

Setup Cost

Pentaho's Community Edition is cost-free, while the Enterprise Edition, offering enhanced features, can cost up to $250,000 annually.
Teradata's high cost is justified by its superior performance, competitive total ownership costs, and flexible pricing models.
Pentaho Business Analytics is priced similarly to other competitors such as QlikView and Tableau.
Teradata is much more expensive than SQL, which is well-performed and cheaper.
Initially, it may seem expensive compared to similar cloud databases, however, it offers significant value in performance, stability, and overall output once in use.
 

Valuable Features

Pentaho Business Analytics offers powerful ETL, user-friendly interface, customizable dashboards, and cost-saving, open-source analytics and reporting features.
Teradata offers efficient, scalable data management with fast query performance, robust security, automation, and cloud flexibility for businesses.
It is a stable product, and it can handle large datasets.
The data mover is valuable over the last two years as it allows us to achieve data replication to our disaster recovery systems.
 

Categories and Ranking

Pentaho Business Analytics
Ranking in BI (Business Intelligence) Tools
20th
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
44
Ranking in other categories
Cloud Operations Analytics (4th), Reporting (16th)
Teradata
Ranking in BI (Business Intelligence) Tools
10th
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
76
Ranking in other categories
Customer Experience Management (6th), Backup and Recovery (20th), Data Integration (17th), Relational Databases Tools (7th), Data Warehouse (3rd), Marketing Management (6th), Cloud Data Warehouse (6th)
 

Mindshare comparison

As of April 2025, in the BI (Business Intelligence) Tools category, the mindshare of Pentaho Business Analytics is 0.5%, down from 0.6% compared to the previous year. The mindshare of Teradata is 0.8%, up from 0.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
BI (Business Intelligence) Tools
 

Featured Reviews

Sayan König - PeerSpot reviewer
Flexible, easy to understand, and simple to set up
The repository should be improved. There should be the possibility to have versioning, to make it combinable with some Git repositories or something like that, to check out the processes and make sure it has a traceable history. The solution could really be improved. There are too many bugs in our version.
SurjitChoudhury - PeerSpot reviewer
Offers seamless integration capabilities and performance optimization features, including extensive indexing and advanced tuning capabilities
We created and constructed the warehouse. We used multiple loading processes like MultiLoad, FastLoad, and Teradata Pump. But those are loading processes, and Teradata is a powerful tool because if we consider older technologies, its architecture with nodes, virtual processes, and nodes is a unique concept. Later, other technologies like Informatica also adopted the concept of nodes from Informatica PowerCenter version 7.x. Previously, it was a client-server architecture, but later, it changed to the nodes concept. Like, we can have the database available 24/7, 365 days. If one node fails, other nodes can take care of it. Informatica adopted all those concepts when it changed its architecture. Even Oracle databases have since adapted their architecture to them. However, this particular Teradata company initially started with its own different type of architecture, which major companies later adopted. It has grown now, but initially, whatever query we sent it would be mapped into a particular component. After that, it goes to the virtual processor and down to the disk, where the actual physical data is loaded. So, in between, there's a map, which acts like a data dictionary. It also holds information about each piece of data, where it's loaded, and on which particular virtual processor or node the data resides. Because Teradata comes with a four-node architecture, or however many nodes we choose, the cost is determined by that initially. So, what type of data does each and every node hold? It's a shared-no architecture. So, whatever task is given to a virtual processor it will be processed. If there's a failure, then it will be taken care of by another virtual processor. Moreover, this solution has impacted the query time and data performance. In Teradata, there's a lot of joining, partitioning, and indexing of records. There are primary and secondary indexes, hash indexing, and other indexing processes. To improve query performance, we first analyze the query and tune it. If a join needs a secondary index, which plays a major role in filtering records, we might reconstruct that particular table with the secondary index. This tuning involves partitioning and indexing. We use these tools and technologies to fine-tune performance. When it comes to integration, tools like Informatica seamlessly connect with Teradata. We ensure the Teradata database is configured correctly in Informatica, including the proper hostname and properties for the load process. We didn't find any major complexity or issues with integration. But, these technologies are quite old now. With newer big data technologies, we've worked with a four-layer architecture, pulling data from Hadoop Lake to Teradata. We configure Teradata with the appropriate hostname and credentials, and use BTEQ queries to load data. Previously, we converted the data warehouse to a CLD model as per Teradata's standardized procedures, moving from an ETL to an EMT process. This allowed us to perform gap analysis on missing entities based on the model and retrieve them from the source system again. We found Teradata integration straightforward and compatible with other tools.
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Comparison Review

it_user6978 - PeerSpot reviewer
Jun 10, 2013
Jaspersoft vs. Pentaho – Which one to use & is there any need to purchase the commercial edition
Any company (be it technology, manfucaturing, human resource, ecommerce, SME etc) always has the need for Business Intelligence to some or the other extent. If cost is one of the consideration factor, then the 2 BI tools which are at the forefront are Pentaho and Jaspersoft. But, often the same…
 

Top Industries

By visitors reading reviews
Financial Services Firm
24%
Computer Software Company
13%
Educational Organization
7%
Government
7%
Financial Services Firm
26%
Computer Software Company
10%
Manufacturing Company
7%
Healthcare Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

Seeking lightweight open source BI software
There are many...It would rather depend what System BI architecture or Enterprise legacy you have at your end...I would recommend as follows: 1) If you have legacies of SAP, Oracle - look for SAP...
What is your experience regarding pricing and costs for Pentaho Business Analytics?
For those starting to use this tool, there is a free version available which is beneficial. The company also finds the pricing to be good.
What needs improvement with Pentaho Business Analytics?
The tool is very good, and yet it has some problems as it relies heavily on Java. The platform works with Java, and it has brought some issues to the company.
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 comp...
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,...
 

Also Known As

Pentaho, Kettle, Hitachi Pentaho Business Analytics
IntelliFlex, Aster Data Map Reduce, , QueryGrid, Customer Interaction Manager, Digital Marketing Center, Data Mover, Data Stream Architecture
 

Overview

 

Sample Customers

Cargo 2000 Lufthansa, Marketo, ModCloth, Cardiac Science, Telefonica, ExactTarget, Active Broadband Networks, and Brussels Airport.
Netflix
Find out what your peers are saying about Pentaho Business Analytics vs. Teradata and other solutions. Updated: April 2025.
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