

Teradata and Pyramid Analytics compete in the data solutions category. Teradata appears to have an edge with its robust data warehousing capabilities and performance, especially in handling large datasets.
Features: Teradata is recognized for its parallel processing features, high scalability, and robust in-database analytics. It also supports multiple deployment options from on-premise to cloud environments. Pyramid Analytics offers end-to-end analytics capabilities, extensive connectors for data integration, and strong support for DAX queries that enhance complex data analysis.
Room for Improvement: Teradata could improve by simplifying pricing to cater to smaller projects and reducing complexity in query formulations. Pyramid Analytics would benefit from a more developer-friendly interface for data modeling and enhancing integration speeds.
Ease of Deployment and Customer Service: Teradata provides flexible deployment options with extensive technical support and resources. Pyramid Analytics offers a user-friendly interface but can improve in providing developer-focused support to streamline setup and integration processes.
Pricing and ROI: Teradata's pricing is high but offers flexible pay-as-you-go models. Despite high costs, it delivers good ROI due to performance and scalability. Pyramid Analytics is reasonably priced, especially for mid-sized to large enterprises, and delivers satisfactory ROI with its cost-effectiveness and comprehensive features.
There is a positive return on the data investment for my clients using Pyramid Analytics.
Because we selected Pyramid Analytics for our product and we are not going to throw out all the work I previously did, we just go with Pyramid Analytics for the product.
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 one time we had an issue related to something with the logins, they addressed it that morning.
They always answer quite promptly.
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.
Regarding Pyramid Analytics' scalability from what I have seen, with the right people managing it, it can handle growing amounts of data and users well.
The whole process takes time with Pyramid Analytics.
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.
Pyramid Analytics is stable in my experience; there have not really been issues with downtime or bugs.
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.
Any advanced user wants to implement an idea that they have, and while the whole idea of a platform is not necessarily to give a custom solution, I would not mind if they had more in terms of AutoML or that sort of capability.
Visually, when you want to see the whole model and the connections between tables, the view is not friendly.
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.
It's not more expensive than all our other BI tools regarding Pyramid Analytics.
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.
After implementing Pyramid Analytics for my clients, I have seen measurable outcomes and specific improvements, such as having a single platform that gets them from the raw data to the endpoint reporting.
I wish it would be more friendly to a developer, not only just to an end customer.
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 | Mindshare (%) |
|---|---|
| Teradata | 1.2% |
| Pyramid Analytics | 1.1% |
| Other | 97.7% |


| Company Size | Count |
|---|---|
| Small Business | 6 |
| Midsize Enterprise | 3 |
| Large Enterprise | 1 |
| Company Size | Count |
|---|---|
| Small Business | 28 |
| Midsize Enterprise | 13 |
| Large Enterprise | 52 |
Pyramid Analytics provides comprehensive BI reporting, data visualization, and analytics capabilities, integrating with systems like SAP and MSAS for enhanced data-driven decision-making across multiple industries.
Pyramid Analytics is a robust platform offering advanced data model capabilities, drill-down reports, and extensive connectors. With support for DAX queries and a range of AI functionalities, it empowers finance departments to analyze data and provide real-time insights for executives. Despite challenges such as non-intuitive visuals and data management difficulties, it remains a versatile tool for enterprise projects, enabling detailed report development, dashboard creation, and self-service analytics.
What are the key features of Pyramid Analytics?Pyramid Analytics is widely implemented across industries such as finance for detailed data analysis and contact center reporting. It supports enterprise projects by enabling user-friendly data exploration that facilitates comprehensive decision-making. With its integration capabilities, it helps organizations leverage existing systems for better analytics outcomes.
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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