

Pentaho Business Analytics and Teradata compete in business analytics and data warehousing. Pentaho excels with its ETL capabilities and ease of use, whereas Teradata may have the upper hand in handling large data volumes effectively.
Features: Pentaho Business Analytics includes powerful ETL functions through Pentaho Data Integration, robust support for diverse reporting tools, and adaptability for complex processes. Teradata shines with its advanced parallel processing, robust data warehousing, and seamless analytics performance on large datasets.
Room for Improvement: Pentaho could improve its dashboard features and visual data presentation while enhancing metadata handling. Teradata needs to lower costs, improve cloud solutions, and better support unstructured data handling, along with offering competitive pricing models.
Ease of Deployment and Customer Service:Pentaho provides mainly on-premises deployment with some hybrid cloud options, benefiting from its open-source community. Its technical support is moderately rated. Teradata offers extensive deployment options from on-premises to cloud, with a focus on sophisticated enterprise implementations and high customer support satisfaction.
Pricing and ROI:Pentaho offers a cost-effective Community Edition with no licensing fees, suitable for budget-conscious organizations, but its Enterprise Edition is expensive. Teradata is regarded as costly, yet is recognized for delivering excellent return on investment through its performance, albeit with high upfront and ongoing costs.
At least fifteen to twenty percent of our time has been saved using Teradata, which has positively affected team productivity and business outcomes.
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.
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%.
The customer support for Teradata has been great.
They are responsive and knowledgeable, and the documentation is very helpful.
Customer support is very good, rated eight out of ten under our essential agreement.
Whenever we need more resources, we can add that in Teradata, and when not needed, we can scale it down as well.
This flexibility allows organizations to scale according to their needs, balancing performance, cost, and compliance requirements.
This expansion can occur without incurring downtime or taking systems offline.
It can handle large datasets.
Its massively parallel process architecture allows the platform to distribute workload efficiently, enabling organizations to run heavy analytic queries without compromising speed or stability.
I find the stability to be almost a ten out of ten.
The workload management and software maturity provide a reliable system.
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.
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.
Unlike SQL and Oracle, which have in-built replication capabilities, we don't have similar functionality with Teradata.
The most challenging aspect is finding Teradata resources, so we are focusing on internal training and looking for more Teradata experts.
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.
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.
It is a stable product, and it can handle large datasets.
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.
Its architecture allows information to be processed efficiently while maintaining stable performance, even in highly demanding environments.
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.
| Product | Market Share (%) |
|---|---|
| Teradata | 0.9% |
| Pentaho Business Analytics | 0.6% |
| Other | 98.5% |

| Company Size | Count |
|---|---|
| Small Business | 22 |
| Midsize Enterprise | 7 |
| Large Enterprise | 15 |
| Company Size | Count |
|---|---|
| Small Business | 28 |
| Midsize Enterprise | 13 |
| Large Enterprise | 52 |
Pentaho is an open source business intelligence company that provides a wide range of tools to help their customers better manage their businesses. These tools include data integration software, mining tools, dashboard applications, online analytical processing options, and more.
Pentaho has two product categories: There is the standard enterprise version. This is the product that comes directly from Pentaho itself with all of the benefits, features, and programs that come along with a paid application such us analysis services, dashboard design, and interactive reporting.
The alternative is an open source version, which the public is permitted to add to and tweak the product. This solution has its advantages, aside from the fact that it is free, in that there are many more people working on the project to improve its quality and breadth of functionality.
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?
What benefits and ROI do users look for?
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.
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