KIMBALL is Kainam's AI-native data engineering platform that automates data acquisition, profiling, cleansing, modeling, and loading. Transform raw data into production-ready pipelines through four intelligent phases.
Intelligent automation from raw data to production-ready insights
Multi-source data connectors with universal chunking framework
Intelligent type inference and metadata analysis
Multi-stage ELT transformations with CDC
ERD analysis and dimensional modeling
Production-ready capabilities for modern data architectures
10K records/batch processing with ClickHouse OLAP database. Optimized for massive datasets (KB to TB).
Intelligent type inference with 90%+ accuracy. Machine learning-based pattern recognition and online learning.
Comprehensive credential protection, environment-based configuration, and automated secret detection.
Automated ERD generation, hierarchy discovery, and star schema design for OLAP analytics.
70+ Task-based workflows, Docker infrastructure, and CI/CD pipelines for streamlined development.
Standalone deployment ready for Ubuntu VM. Configured for self-hosted environments.
KIMBALL works seamlessly with MONZA (OLAP engine) and SENNA (Data Science platform) to deliver comprehensive Augmented Performance Management solutions.
View deployment information and verify the platform is running correctly.
View Status →Explore the complete source code, documentation, and contribute to the platform.
View on GitHub →Learn more about Kainam's Augmented Performance Management suite.
Visit Kainam →