Augmented OLAP and Unified Metric Stores for High-Performance Cloud Analytics.
Kyligence, founded by the creators of Apache Kylin, provides an intelligent, AI-augmented OLAP platform designed for hyperscale data analytics. The platform bridges the gap between raw data lakes and business-facing BI tools by utilizing a unique pre-computation and indexing architecture. In the 2026 market, Kyligence stands out through its 'Kyligence Zen' offering—a unified metric store that decouples metrics from visualization tools, ensuring a single source of truth across enterprises. Its technical core leverages Spark for high-performance data processing and AI-driven auto-modeling, which significantly reduces the manual effort required for cube design. By optimizing query performance on massive datasets (petabyte-scale), Kyligence enables sub-second response times for complex multi-dimensional analysis. The architecture supports a multi-cloud strategy, integrating seamlessly with AWS, Azure, and Google Cloud, while offering deep compatibility with Excel, Power BI, and Tableau. As companies move toward AI-driven decision-making, Kyligence’s ability to provide governed, high-speed access to curated metrics makes it a critical component of the modern data stack.
Kyligence, founded by the creators of Apache Kylin, provides an intelligent, AI-augmented OLAP platform designed for hyperscale data analytics.
Explore all tools that specialize in multi-dimensional data modeling. This domain focus ensures Kyligence delivers optimized results for this specific requirement.
Uses machine learning to analyze query history and automatically optimize indexing strategies and data layouts.
Centralized repository where metrics are defined once in YAML and consumed by any downstream BI tool via API.
Massive Parallel Processing (MPP) combined with pre-aggregation technology for O(1) query complexity.
LLM-integrated assistant that allows users to ask natural language questions to generate SQL or Metric definitions.
Native support for AWS, Azure, and Google Cloud with consistent API and management layers.
Full support for Multi-Dimensional Expressions, allowing Excel users to use Pivot Tables directly on Big Data.
Automatically moves data between hot (SSD) and cold (Object Storage) based on access patterns.
Deploy Kyligence via Azure Marketplace, AWS, or Private Cloud environment.
Connect your data source (e.g., Snowflake, Databricks, or S3/ADLS).
Define the data model by identifying fact and dimension tables.
Use AI-Augmented Modeling to automatically detect relationships and suggest indexes.
Configure the 'Kyligence Zen' Metric Store to define business KPIs.
Execute the build process to pre-compute data cubes and indexes.
Set up incremental refresh schedules for near real-time data updates.
Integrate with BI tools using the Kyligence MDX or SQL connectors.
Configure Role-Based Access Control (RBAC) and SSO for security.
Monitor query performance and system health via the built-in observability dashboard.
All Set
Ready to go
Verified feedback from other users.
"Users praise its ability to handle massive scale and the power of its MDX engine for Excel, though some find the initial cube configuration complex."
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