Best Semantic Layer Tools for Cloudera

Kyvos is a semantic layer for AI and BI. It gives organizations a single, consistent, business-friendly view of their entire data estate. By standardizing how data is defined and understood, Kyvos eliminates metric drift across BI tools and ensures that LLMs and AI agents work with governed business semantics rather than raw tables. Kyvos also delivers lightning-fast analytics at massive scale and high concurrency — including granular multidimensional analysis on the cloud — without the sluggish query times and escalating cloud costs that typically come with it. What Kyvos Solves? Organizations today operate across multiple data platforms, analytics tools, and AI interfaces. Without a unified semantic foundation, the same business question can return different answers depending on the tool, query logic, or dataset used. And as data volumes grow into billions of rows, querying the full breadth and depth of an organization's data becomes slow and expensive — forcing teams to work with limited slices rather than the complete picture. Kyvos addresses both by creating a universal semantic layer across the data estate — standardizing how business data is defined and understood — while delivering high-performance analytics that remain fast and cost-efficient regardless of data scale and user concurrency. The result is “one view, one meaning, one truth” of enterprise data, while delivering fast, scalable analytics across LLMs, AI agents and BI tools.

AtScale streamlines and speeds up business intelligence processes, leading to quicker insights, improved decision-making, and enhanced returns on your cloud analytics investments. It removes the need for tedious data engineering tasks, such as gathering, maintaining, and preparing data for analysis. By centralizing business definitions, AtScale ensures that KPI reporting remains consistent across various BI tools. The platform not only accelerates the time it takes to gain insights from data but also optimizes the management of cloud computing expenses. Additionally, it allows organizations to utilize their existing data security protocols for analytics, regardless of where the data is stored. AtScale’s Insights workbooks and models enable users to conduct Cloud OLAP multidimensional analysis on datasets sourced from numerous providers without the requirement for data preparation or engineering. With user-friendly built-in dimensions and measures, businesses can swiftly extract valuable insights that inform their strategic decisions, enhancing their overall operational efficiency. This capability empowers teams to focus on analysis rather than data handling, leading to sustained growth and innovation.