Kyvos Semantic Layer
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What is Kyvos Semantic Layer?
Kyvos is a semantic layer for AI and BI. It provides:
1. Unified Semantic Foundation for AI and BI- Kyvos semantic layer standardizes how metrics, KPIs, dimensions, hierarchies, relationships, calculations, and business rules are modelled across the enterprise — so that dashboards, analytics tools, notebooks, and AI systems all operate on the same understanding of the business. It enables:
- Shared semantics — one common data language across every tool, team, and system
- Governed access — data exploration within defined security, role, and permission boundaries
- Platform interoperability — consistent semantic context across diverse platforms and environments
- AI readiness — LLMs and agents work with governed business semantics rather than raw tables or ambiguous schema
2. AI Grounded in Business Context
Kyvos grounds AI systems in the governed semantic model, ensuring they operate on established business context rather than raw schemas — improving the accuracy, traceability, and reliability of AI-generated insights.
3. Consistent Metrics Across BI Tools
Kyvos centralizes metric and KPI definitions in the semantic layer and applies them consistently across every analytics interface — eliminating metric drift and improving trust in analytics.
4. High-Performance Analytics at Scale, enabling:
- Sub-second query performance across massive datasets
- High concurrency across thousands of users and workloads
- Consistent response times regardless of data volume or concurrency
- No performance degradation as adoption grows
5. Multidimensional Analytics on the Cloud:
- Granular analysis across billions of rows
- Thousands of measures and dimensions in a single model
- Fast drill-down across complex hierarchies
- Full analytical depth without sacrificing query speed
6. Cloud Cost Efficiency-Kyvos serves analytics through its semantic layer, reducing compute use and enabling users, workloads, and analytics to scale without increasing cost
What is Dremio?
Dremio offers rapid query capabilities along with a self-service semantic layer that interacts directly with your data lake storage, eliminating the need to transfer data into exclusive data warehouses, and avoiding the use of cubes, aggregation tables, or extracts. This empowers data architects with both flexibility and control while providing data consumers with a self-service experience. By leveraging technologies such as Apache Arrow, Data Reflections, Columnar Cloud Cache (C3), and Predictive Pipelining, Dremio simplifies the process of querying data stored in your lake. An abstraction layer facilitates the application of security and business context by IT, enabling analysts and data scientists to access and explore data freely, thus allowing for the creation of new virtual datasets. Additionally, Dremio's semantic layer acts as an integrated, searchable catalog that indexes all metadata, making it easier for business users to interpret their data effectively. This semantic layer comprises virtual datasets and spaces that are both indexed and searchable, ensuring a seamless experience for users looking to derive insights from their data. Overall, Dremio not only streamlines data access but also enhances collaboration among various stakeholders within an organization.
Integrations Supported
Looker
Tableau
Amazon S3
Amazon Web Services (AWS)
Cloudera
Google Cloud Platform
Integrations Supported
Looker
Tableau
AccessOwl
Azure Marketplace
Codd AI
Emgage
API Availability
API Availability
Pricing Information
CPU/Core-Based
Free Version
Free Trial Offered?
Pricing Information
Pricing not provided
Supported Platforms
SaaS
Windows
Mac
On-Prem
Linux
Supported Platforms
SaaS
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Not specified
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Not specified
Company Facts
Organization Name
Kyvos Insights
Date Founded
2015
Company Location
United States
Company Website
www.kyvosinsights.com
Company Facts
Organization Name
Dremio
Date Founded
2015
Company Location
United States
Company Website
www.dremio.com
Categories and Features
Big Data
High Volume Processing
Business Intelligence
Ad Hoc Reports
Benchmarking
Budgeting & Forecasting
Dashboard
Data Analysis
Key Performance Indicators
Performance Metrics
Predictive Analytics
Profitability Analysis
Strategic Planning
Trend / Problem Indicators
Visual Analytics
Semantic Layer
Not specified
Categories and Features
Big Data
Not specified
Data Engineering
Not specified
Data Lake
Not specified
Data Lineage
Not specified
Data Virtualization
Not specified
Data Warehouse
Not specified
Query Engines
Not specified
Semantic Layer
Not specified