Pyramid is an enterprise-grade Decision Intelligence Platform designed to seamlessly scale from individual self-service analytics to large-scale deployments. It supports a wide range of capabilities from basic data visualizations to advanced machine learning, catering to diverse user needs. The platform features a universal client for any device and operating system, facilitating installation on various platforms including on-premises and cloud environments, and interoperability with popular data stacks.
Pyramid emphasizes a balance between self-service productivity and governance, serving as an adaptive analytic platform that adjusts capabilities based on user skills. It manages content as a shared resource, supporting organizations throughout their decision workflows and bridging the gap between analytics strategy and implementation.
The Analytics OS includes six core modules (Model, Formulate, Discover, Illustrate, Present, and Publish) alongside administrative and content management tools, providing a comprehensive analytics experience across the workflow.
Pyramid Analytics, headquartered in Amsterdam with global offices, offers the Pyramid Decision Intelligence Platform. This AI-enhanced solution integrates data preparation, business analytics, and data science to simplify data-driven decision-making. It enables direct data operation without extraction, promoting self-service and governance while supporting complex BI needs.
The platform ensures rapid data-to-decision cycles with a no-code, AI-driven approach, supporting direct access to multiple data sources and environments. It facilitates interactive analysis, data visualization, and machine learning for predictive insights. Pyramid's platform is deployable across cloud, on-premises, or hybrid environments, empowering users with AI-guided workflows and natural language interfaces for intuitive analytics.
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Hallmark Empyrean Premier Foods
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Pyramid Analytics is unique due to its unified platform combining data preparation, business analytics, and data science with AI-driven self-service. It offers scalability, performance, strong governance, and a user-friendly experience.
Pyramid Analytics's answer
Pyramid Analytics stands out with its unified platform, AI-driven insights, and ability to handle complex data, empowering users of all skill levels to make informed decisions faster than with other tools.
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Pyramid Analytics targets data-driven organizations seeking a comprehensive, user-friendly platform to unlock insights from complex data, empowering both business users and data analysts to collaborate effectively.
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Pyramid Analytics emerged from a need for a more intuitive and powerful business intelligence solution. It was founded on the principle of democratizing data, enabling organizations to harness the full potential of their data through a unified, AI-driven platform.
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Pyramid Analytics is built on a robust technology stack including:
Based on our record, PostgreSQL seems to be more popular. It has been mentiond 16 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
In this quick post, we’ll walk through implementing an Upsert operation in Hasura using PostgreSQL and GraphQL. - Source: dev.to / 9 months ago
I’m on MacOS and erlang.org, elixir-lang.org, and postgresql.org all suggest installation via Homebrew, which is a very popular package manager for MacOS. - Source: dev.to / about 1 year ago
According to the documentation, crate sqlx is implemented in Rust, and it's database agnostic: it supports PostgreSQL, MySQL, SQLite, and MSSQL. - Source: dev.to / almost 2 years ago
Solution is just downloading and installilng pgAdmin from official pgAdmin homepage version, not the one that is included in the postgresql.org package. Source: almost 2 years ago
SQL immediately stands out here because it was designed for making relational algebra, the other side of the Entity-Relationship model, accessible. There are likely more people who know SQL than any programming language (for IaC) or data format you could choose to represent your cloud infrastructure. Many non-programmers know it, as well, such as data scientists, business analysts, accountants, etc, and there is... - Source: dev.to / about 2 years ago
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