

Teradata and Amazon QuickSight operate within the data warehousing and analytics sector. Teradata offers robust performance suitable for handling large data volumes, while Amazon QuickSight provides seamless integration within the AWS ecosystem, benefiting businesses utilizing AWS services.
Features: Teradata is known for features such as workload management, parallel processing, and real-time data loading capabilities, which enhance its performance and efficiency. Its architecture supports massive data sets, ensuring security and minimal downtime. Amazon QuickSight excels in creating visualizations, integrates easily with AWS services, and provides a cost-effective solution.
Room for Improvement: Teradata could enhance AI model integration, improve handling of unstructured data, and offer more flexible cloud solutions to boost competitiveness. Amazon QuickSight could expand its visualization options, strengthen integration with non-AWS providers, and enhance processing capabilities for complex analytics.
Ease of Deployment and Customer Service: Teradata supports on-premises and hybrid deployments, ideal for enterprises needing internal solutions, though its cloud transitions pose challenges. Amazon QuickSight offers a straightforward cloud-based setup for AWS users, though its documentation and user-friendliness could be improved.
Pricing and ROI: Teradata is a premium solution with high costs, offering significant ROI through advanced analytics for large organizations. Its pricing reflects its enterprise focus. Amazon QuickSight provides competitive pricing with session-based models, appealing to cost-conscious businesses, particularly within the AWS framework.
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%.
I would say out of all the support experience I've had, only 5% took quite a long time to respond to the support message.
I would say at the moment, so far, good in the sense of Amazon's technical support.
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.
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.
Understanding how AWS charges for Amazon QuickSight usage is critical for all users wanting to visualize their data effectively.
For example, making automation for filling missing data or reformatting incorrect data formats, and making date corrections.
On the analytics side, we are migrating into Amazon QuickSight. One of the products is already migrating, and the rest is in the pipeline.
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 is not expensive, but it is also not cheap.
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.
The natural language query is very important, and natural language processing is crucial for disseminating dashboards across multiple formats and mechanisms.
You can measure the progress of sales, and you can measure the weakness or lowest activity of sales in some areas and determine how to improve it.
Interactive dashboards do help with data analysis.
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 (%) |
|---|---|
| Amazon QuickSight | 3.3% |
| Teradata | 1.2% |
| Other | 95.5% |

| Company Size | Count |
|---|---|
| Small Business | 7 |
| Midsize Enterprise | 10 |
| Large Enterprise | 16 |
| Company Size | Count |
|---|---|
| Small Business | 28 |
| Midsize Enterprise | 13 |
| Large Enterprise | 52 |
Amazon QuickSight offers rapid visualization creation, cloud-native AWS integration, ease of use, scalability, and affordability. With strong data connectors and machine learning tools, it supports real-time insights and intuitive data handling.
Amazon QuickSight is designed for fast visualizations, interactive dashboards, and extensive data connectivity, making it suitable for finance and academia. Offering browser-based access and advanced security, it enables organizations to integrate data seamlessly, handling both real-time and historical insights. Despite room for improvement in visuals and integration with other cloud providers, its flexibility and powerful analytics serve diverse reporting needs efficiently.
What are Amazon QuickSight's most important features?Amazon QuickSight is employed in finance and academia, aiding in KPI tracking and analytics through efficient data integration and visualization. It supports strategic business decisions by offering insights from sources such as S3 and MySQL, making it valuable for financial reporting and research needs.
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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