Google Big Query with Kyvos

Google Cloud transformed the concept of data warehousing with a serverless, highly scalable and cost-effective cloud data warehouse known as Google BigQuery. However, it’s not possible to perform multidimensional analytics on large datasets using GBQ as it works with SQL over tables stored in columnar format. Furthermore, costs increase exponentially with growing users and querying complexity.

Kyvos simplifies and accelerates advanced analytics on the GBQ while reducing cloud spend and delivering lightning-fast analytics on 100% of enterprise data.

Kyvos uses its revolutionary AI-powered smart aggregation technology to enable self-service, multidimensional analytics on billions of data points for thousands of users across the enterprise.

Kyvos empowers business and data teams to explore massive datasets using their existing BI and analytics tools.

Leverage the power of your data

Enable self-service, multi dimensional analytics for users across the enterprise while breaking through data complexity. Allow users to query, filter, slice, dice, drill down and explore extremely large datasets on Google BigQuery & get their answers instantly with zero latencies.

Stop Waiting. Start Analyzing

Build optimized data models in minutes with our intuitive, code-free designer and eliminate time-consuming data engineering efforts.

Democratize Analytics on the Cloud

Ensure that users see data as per their authorization with our multi-layer security model, including row and column-level access control.

Eliminate Analytical Complexity

Build optimized data models in minutes with our intuitive, code-free designer and eliminate time-consuming data engineering efforts.

Fine-Grained Access Control

Ensure that users see data as per their authorization with our multi-layer security model, including row and column-level access control.

Cost-Effective Analytics

Optimize costs with our price-performant querying approach and auto-scaling capabilities.

A Perfect Blueprint for Scalability

Designed from the ground up with true elasticity in mind, Kyvos helps enterprises grow or shrink with ease and speed while controlling their analytics costs.

Kyvos semantic layer connects data, BI and AI into one scalable analytics foundation. It is designed to handle growing data volumes, rising user concurrency and increasing business complexity—without rebuilding models or breaking governance. By combining performance, scalability, cost predictability, seamless connectivity and strong governance, Kyvos supports reliable analytics as organizations grow and change.

Unified semantic foundation

Kyvos provides a single, governed semantic foundation where metrics, dimensions, relationships and hierarchies are defined once and reused everywhere. This ensures a single source of truth that delivers consistent BI and accurate AI. It also enables rapid data exploration, strong data + AI governance and seamless interoperability across tools, platforms and applications.

BI performance

Kyvos delivers sub-second BI performance on billions of rows, even for deep, high-grain analytics. It keeps analytics and ad-hoc exploration fast as data volumes and users grow, without limits on scale. Kyvos works with all popular BI tools like Tableau, Power BI, Looker, Strategy, Excel and others, providing consistent answers across teams, tools and workflows.

Multidimensional analytics

Kyvos delivers high-performance, high-grain multidimensional analytics at massive scale on the cloud. It supports high cardinality, complex hierarchies and instant slice, dice and drill across live enterprise data. By delivering all the analytical capabilities enterprises relied on from legacy platforms—and going far beyond them with a unified semantic foundation and cloud-native architecture—Kyvos eliminates the need for SSAS, Essbase, TM1 or Azure Analysis Services for modern BI and AI workloads.

Cloud cost savings

Kyvos delivers cost-efficient analytics across AWS, Azure, GCP, BigQuery, Snowflake, Redshift and Databricks by minimizing and optimizing query pushdowns and compute usage. Enterprises can scale users, workloads and analytic depth without linear cost increases—avoiding over-provisioning while maintaining high performance.

Deepest, widest semantic data models

Kyvos brings 10,000+ KPIs, 1,000+ measures, 1,000+ attributes, 100+ dimensions and 30+ facts into one unified semantic data model. This semantic foundation is used consistently across the enterprise, enabling multidimensional analytics that scale without breaking, grounding production-ready AI in semantic context and delivering price-performant models that help lower cloud costs.

Consistent BI

Kyvos enforces one governed definition of KPIs through a shared semantic foundation, ensuring calculations, hierarchies and filters are consistent across dashboards, teams and regions. Changes are versioned, controlled and rolled out in a governed way. Kyvos eliminates time wasted reconciling conflicting numbers and builds stronger confidence in AI and advanced analytics through stable, reliable metrics.

Accurate AI

Kyvos provides a single governed data and metric model that grounds every AI answer. A shared semantic context ensures that every AI response reflects the same metrics and meaning across enterprise dashboards, reports and models. This dramatically reduces hallucinations, contradictions and “BI vs AI” disputes. The result is explainable answers that can be traced directly back to governed data.

Rapid data exploration

Kyvos gives every user access to the same shared, business-friendly semantic layer for faster, deeper exploration of enterprise data. Users can move freely from high-level KPIs to detailed transactions, ask follow-up questions instantly and explore across domains. With consistent meaning, fast response times and support for all skill levels, Kyvos turns exploration into a continuous, interactive process instead of a slow, expert-only task.

Data and AI governance

Kyvos delivers trusted, fast decisions with a centralized semantic layer that keeps metrics, definitions and business logic consistent across BI and AI. Governance is defined once and consumed everywhere, with decentralized access for thousands of users. Fine-grained row-, column- and metric-level security is enforced across all tools, with SSO, role-based access and integrations with enterprise identity systems. Built-in lineage, audit logs and explainable logic provide full traceability from source data to BI and AI outputs.

Data interoperability

Kyvos enables true data interoperability by providing one logical, consistent view across AI, BI and data platforms with no vendor lock-in. Semantic context is centralized and managed in one place, creating a single shared data language for trusted analytics everywhere. This interoperability strengthens governance and control at scale.

Live connectivity with BI and AI tools

Kyvos offers state-of-the-art connectivity with BI and AI tools via SQL and MDX connectors.

In addition, Kyvos MCP server helps LLMs and AI agents connect with enterprise data, tools and APIs. It acts as a bridge, providing a secure and standardized way for AI to access and use these systems without needing complex, custom-built integrations. Kyvos MCP server simplifies AI development by replacing fragmented, custom integrations with a universal protocol, making AI applications more context-aware and powerful, reducing hallucinations. Lastly, its document loader allows enterprises to use both structured as well as unstructured data, making Kyvos a single platform for high-performance BI and AI applications.

Seamless connectivity with all data platforms

Kyvos offers native support to access enterprise data on the cloud or on-premises data lakes without any latency. Supported platforms include Amazon Web Services, Google Cloud, Microsoft Azure, Cloudera and Apache Hadoop. Kyvos also supports cloud data warehouses such as Snowflake, Amazon Redshift, Google BigQuery, Databricks, Teradata, Oracle RDS and Hive.