

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.
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.
They always answer quite promptly.
The one time we had an issue related to something with the logins, they addressed it that morning.
Tech support for Salesforce Einstein Analytics is generally good.
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.
Pyramid Analytics is stable in my experience; there have not really been issues with downtime or bugs.
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.
It's just a logic you need to learn. It's not as intuitive as in Microsoft, for example.
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.
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.
It's not more expensive than all our other BI tools regarding Pyramid Analytics.
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.
I wish it would be more friendly to a developer, not only just to an end customer.
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 (%) |
|---|---|
| Salesforce Einstein Analytics | 1.1% |
| Pyramid Analytics | 1.1% |
| Other | 97.8% |


| Company Size | Count |
|---|---|
| Small Business | 6 |
| Midsize Enterprise | 3 |
| Large Enterprise | 1 |
| 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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