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The Metrics Platform

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Products & Solutions

The Metrics Platform
OLAP on Data Lakes

Kyligence Zen is the go-to low-code metrics platform to define, collect, and analyze your business metrics.

Kyligence Zen is the go-to low-code metrics platform to define, collect, and analyze your business metrics.

You can quickly connect your data sources, define the business metrics, uncover hidden insights in minutes with AI Copilot, and share them across your organization.

You can quickly connect your data sources, define the business metrics, uncover hidden insights in minutes with AI Copilot, and share them across your organization.

Kyligence Enterprise, based on Apache Kylin, provides sub-second standard SQL query responses based on PB-scale datasets, simplifying multidimensional data analysis on data lakes for enterprises and enabling business users to quickly discover business value in massive amounts of data and drive better business decisions.

Kyligence Enterprise, based on Apache Kylin, provides sub-second standard SQL query responses based on PB-scale datasets, simplifying multidimensional data analysis on data lakes for enterprises and enabling business users to quickly discover business value in massive amounts of data and drive better business decisions.

Core Features

Low-code Metrics Service
Low-code Metrics Service

Enables businesses to focus more on how to take actions on metrics rather than how to generate them.

Unified Metrics Catalog
Unified Metrics Catalog

Aligned metrics definition across all businesses, data consumers, and decision-makers.

Time-saving Metrics Automation
Time-saving Metrics Automation

Automated metrics calculation by the built-in augmented OLAP engine to boost performance.

Open APIs
Open APIs

Connect consistent metrics to any BI or SaaS tools that business users prefer.

Self-Service Analytics
Self-Service Analytics
  • Quickly create different analytics scenarios to achieve a panoramic view of data analytics, improve analytics efficiency, fast-track business insights, and enable efficient decision-making.
  • Eliminate data silos, reduce repetitive data development workloads, lower model change costs, shorten business operation cycles and improve the flexibility in responding to business needs.
  • Deliver stable high-performance, high-concurrency big data services, and reduce IT operational and maintenance costs by providing system support.
  • Empower non-tech users, democratize data analytics, and enable self-service business analytics for all.
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Self-Service Analytics
Self-Service Analytics
Data Analysts

Consolidate data, eliminate data silos, reduce repetitive data development workloads, ensure data security, support flexible modification, lower model change costs, quickly respond to business needs, and shorten business operation cycles.

Data Engineers

Eliminate data silos, reduce repetitive data development works, support flexible modification, and lower model change costs.

DevOps

Deliver stable high-performance, high-concurrency big data services, and reduce IT operational and maintenance costs by providing system support.

Business Users

Empower non-tech users, democratize data analytics, and enable self-service business analytics for all.

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