

Salesforce Einstein Analytics and Pyramid Analytics compete in the business analytics and data integration category. Salesforce Einstein Analytics holds an advantage due to its seamless CRM integration and advanced AI features, appealing largely to businesses prioritizing predictive analytics and robust CRM capabilities.
Features: Salesforce Einstein Analytics offers predictive analysis, comprehensive customer insights, and interactive dashboards. Its CRM integration provides transparency and extensive AI interaction. Pyramid Analytics supports complex data analysis with drill-down capabilities, robust DAX query support, and self-service options, making it ideal for users with technical expertise.
Room for Improvement: Salesforce Einstein Analytics requires enhanced data handling and improved transparency in model creation. Mobile adaptability and user-friendliness also need attention. Pyramid Analytics faces user-friendliness challenges, insufficient documentation clarity, and feature complexity, with occasional system bugs needing resolution.
Ease of Deployment and Customer Service: Salesforce Einstein Analytics boasts deployment flexibility with strong cloud integration, receiving positive support service feedback. Pyramid Analytics offers on-premises deployment options but user experiences suggest a need for more efficient problem resolution and customer service responsiveness.
Pricing and ROI: Salesforce Einstein Analytics is considered a premium solution with higher costs justified by extensive features, though ROI realization remains a challenge. Pricing often involves negotiation. Pyramid Analytics provides a competitively priced option for mid-sized businesses but may incur additional consulting costs for advanced features. ROI varies based on company size and implementation.
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 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.
Tech support for Salesforce Einstein Analytics is generally good.
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.
There are certain glitches, especially when the modules are upgraded or when there is a source code update, causing the entire tool to go offline.
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.
There are certain glitches, especially when the modules are upgraded or when there is a source code update, causing the entire tool to go offline.
There is a learning curve associated with Salesforce Einstein Analytics, particularly since users need to learn a new language.
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.
A benefit is that the pricing is available online, ensuring there are no hidden costs.
In general, I would rate it as a little bit on the expensive side compared to other available options.
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.
It allows for a personalized customer experience by providing insights.
Their machine learning model, which they have integrated, provides us with accurate data and creates projection maps.
| Product | Mindshare (%) |
|---|---|
| Pyramid Analytics | 1.0% |
| Salesforce Einstein Analytics | 1.1% |
| Other | 97.9% |


| Company Size | Count |
|---|---|
| Small Business | 12 |
| Midsize Enterprise | 4 |
| Large Enterprise | 7 |
| Company Size | Count |
|---|---|
| Small Business | 7 |
| Midsize Enterprise | 4 |
| Large Enterprise | 12 |
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.
Salesforce Einstein Analytics delivers intuitive predictive analysis and robust CRM integration, managing data effectively for real-time insights, enhancing decision-making, and enabling workflow efficiency through scalable, AI-driven capabilities.
Known for its intuitive interface, Salesforce Einstein Analytics excels in predictive analysis and integrates seamlessly with CRM platforms. This tool handles large volumes of data, creating interactive dashboards and providing real-time insights into business operations. Its AI-driven features enhance decision-making and workflow efficiency, offering personalization options and scaling capabilities. However, users note challenges with support, mobile accessibility, and data flow functionality. Deployment and coding complexity can complicate use, and mobile integration seems limited. Despite a high price, enhancements in transparency and data handling robustness, improved user interface customization, and greater regional adaptability would be beneficial.
What are the key features of Salesforce Einstein Analytics?Companies use Salesforce Einstein Analytics across industries for integrating platforms like Genesis and ServiceNow, building predictive models, and automating tasks. It is pivotal in creating dashboards from multiple data sources, syncing email communication, and gaining customer insights. By evaluating metrics and enhancing human capital management, it functions as an integrated platform for marketing and customer service, aiding in opportunity analysis and predicting deal closure likelihood.
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