Kyligence
Augmented OLAP and Unified Metric Stores for High-Performance Cloud Analytics.
Automate data management from ingestion to insight with a zero-code data refinery.
Mammoth Analytics is a sophisticated data management platform designed to democratize complex data engineering tasks. By 2026, it has solidified its position as a leading 'Data Refinery' that sits between raw data sources and BI tools like PowerBI or Tableau. Its technical architecture utilizes a proprietary columnar engine that allows for high-speed transformations without the need for SQL or Python expertise. The platform excels at handling disparate data formats, providing a unified workspace where data can be ingested from over 100+ connectors, cleaned via a visual rule-builder, and blended across multiple dimensions. Unlike traditional ETL tools that require batch processing, Mammoth offers a semi-real-time environment where changes to data pipelines are instantly reflected in the preview. This architectural flexibility makes it a favorite for Lead AI Architects looking to prepare high-quality datasets for LLM fine-tuning and predictive modeling. Its 2026 market position focuses on 'Self-Service Data Engineering,' reducing the reliance on central IT teams while maintaining rigorous data governance and schema integrity across enterprise-wide deployments.
AI-driven schema detection that automatically suggests data types and relationships across multi-source datasets.
Augmented OLAP and Unified Metric Stores for High-Performance Cloud Analytics.
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.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Architectural support for fetching only new or modified records from the source to optimize compute resources.
Proprietary algorithms for joining datasets where primary keys are inconsistent or contain typos.
Git-like version control for data transformations, allowing users to rollback to previous pipeline states.
Advanced visual tools for reshaping complex transactional data into analytical formats.
Push processed data immediately to external endpoints or internal application databases.
Allows developers to write custom Javascript snippets to handle edge-case transformations within the visual flow.
Consolidating spend and conversion data from Facebook, Google Ads, and TikTok to calculate unified ROI.
Registry Updated:2/7/2026
Export to Looker.
Matching Shopify sales with ERP inventory levels to prevent overselling.
Aggregating P&L data from various global subsidiaries using different accounting software.