

Pyramid Analytics and Amazon QuickSight both compete in the business intelligence sector, each excelling in specific areas. Pyramid Analytics has the advantage in pricing, catering to budget-conscious users, while Amazon QuickSight stands out with feature richness.
Features: Pyramid Analytics includes robust data discovery, comprehensive data modeling, and extensive self-service customization options. Amazon QuickSight offers seamless AWS integration, high scalability, and fast data visualization creation.
Room for Improvement: Pyramid Analytics could enhance its graphical interface and improve integration with non-traditional data sources. Amazon QuickSight could expand its machine learning capabilities, improve advanced analytics features, and enhance ease of use for beginners.
Ease of Deployment and Customer Service: Pyramid Analytics requires a detailed setup but offers dedicated support during deployment. Amazon QuickSight simplifies deployment with its cloud-based model and has an extensive repository of support resources, making it ideal for rapid integration.
Pricing and ROI: Pyramid Analytics offers competitive pricing, making it attractive for organizations seeking deep analytics capability. Amazon QuickSight may cost more, but it provides substantial ROI through advanced features and integration, appealing to businesses investing in AWS infrastructure.
We have seen a 100% increase in our overall revenue with the help of Pyramid Analytics.
There is a positive return on the data investment for my clients using Pyramid Analytics.
My best anecdote is during the COVID pandemic when it enabled much faster decision-making and for us to make decisions that protected the business from potential failure.
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.
I would give customer support for Pyramid Analytics a ten because they were very responsive.
The support team is very responsive and helpful whenever we encounter any issues.
They're more than happy to get their developers on a call directly to assist as well.
It is more than capable of being deployed on a scalable architecture.
As data grows and volume increases, scaling up is easily accomplished whenever needed, based on requirements.
We were able to handle larger data sets, meaning we could analyze old data to see how certain campaigns or products performed over the past one, two, three, five, and even ten years.
Pyramid Analytics is stable in my experience; there have not really been issues with downtime or bugs.
There are no issues with Pyramid Analytics in terms of speed or performance, even when we work with large data sets.
I found Pyramid Analytics to have some reliability issues; there was a time when the service was down for about a week, impacting our development and client dashboards, which should not happen, as data products should always be operational.
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.
Other improvements Pyramid Analytics needs are to make the platform more user-friendly for the layman because when presenting something this complicated to companies, if they cannot use it to its full capacity, it is a possible loss.
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.
It is not expensive, but it is also not cheap.
When we went to market and had quotes from multiple different vendors including Power BI and other leading software tools, it was at a comparative level but lower and a bit more cost-effective.
It's not more expensive than all our other BI tools regarding Pyramid Analytics.
Some of the conditions where we require to update this licensing part where we will be cut off some of the annual price, some of the specific institution such as for education or EdTech or hospitals, this will be useful.
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.
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.
Pyramid Analytics's main power is its ability to hold the semantic layer inside so it understands the data such that all the dashboards put in front of people are self-service.
Pyramid Analytics has allowed us to be more insightful in our reporting, positively impacting our organization.
| Product | Mindshare (%) |
|---|---|
| Amazon QuickSight | 3.2% |
| Pyramid Analytics | 1.0% |
| Other | 95.8% |

| Company Size | Count |
|---|---|
| Small Business | 7 |
| Midsize Enterprise | 10 |
| Large Enterprise | 16 |
| Company Size | Count |
|---|---|
| Small Business | 12 |
| Midsize Enterprise | 4 |
| Large Enterprise | 7 |
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.
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.
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