Knowre
AI-powered adaptive math learning that identifies and bridges learning gaps through granular skill modeling.
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.
Uses machine learning to analyze query history and automatically optimize indexing strategies and data layouts.
AI-powered adaptive math learning that identifies and bridges learning gaps through granular skill modeling.
Transform raw data into real-time metrics with a powerful semantic layer and automated BI dashboards.
The AI-powered data scientist that automates complex analysis, visualization, and predictive modeling through sandboxed code execution.
The global tech bootcamp for future-proof career transformation in AI, Coding, and Design.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
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.
Slow consolidation of financial data across multiple international branches.
Registry Updated:2/7/2026
Inventory lag causing overstock and stockouts in e-commerce.
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