Kyligence

Paid

AI-powered OLAP and metrics platform for sub-second analytics on any cloud.

#AI-powered#Intelligent OLAP Platform#enterprise metrics layer#cloud-native scale#sub-second SQL analytics#data lakes#Apache Kylin#high-concurrency#petabyte-scale query performance#AI-driven modeling#self-optimization#natural language insights#multi-cloud deployment#enterprise-grade security#managed services#multidimensional analysis#on-premises and cloud environments#reducing TCO#accelerating time to insight

Type

Saas

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About Kyligence

Kyligence is an AI-powered Intelligent OLAP Platform that unifies an enterprise metrics layer with cloud-native scale to deliver sub-second SQL analytics on data lakes. Built on the heritage of Apache Kylin, Kyligence Enterprise and Kyligence Cloud provide high-concurrency, petabyte-scale query performance, while Kyligence Zen and Kyligence Copilot bring AI-driven modeling, self-optimization, and natural language insights. With multi-cloud deployment, enterprise-grade security, and managed services, Kyligence simplifies multidimensional analysis across on‑premises and cloud environments, reducing TCO and accelerating time to insight.

Key Features

Sub‑second query response for standard SQL on petabyte‑scale datasets via pre‑compute OLAP with no on‑the‑fly computation

AI‑augmented engine that auto‑creates models from SQL scripts, self‑optimizes based on user behavior, and elastically adjusts resources

Support for batch and streaming data processing with continuous model updates and automatic exposure of new data

Kyligence Copilot for natural language chat, root cause analysis, goal tracking, risk identification, recommendations, and dynamic dashboards

Multi‑cloud deployment across AWS, Azure, Google Cloud, and HUAWEI CLOUD with cloud‑native elasticity

Self‑service analytics enabling SQL users to build and tune models without deep technical skills

Enterprise‑grade security integrating with VPC, AD, IAM, and RBAC for governance and protection

All‑in‑one big data analytics combining data modeling, OLAP, visualization, and a governed metrics layer

Intelligent pattern detection to auto‑build governed data marts and optimize pipelines for complex scenarios

Incremental model adjustments with flexible index additions and deletions to adapt to changing needs

Best For

BI and analytics teams: Accelerate dashboards and ad hoc exploration with sub‑second OLAP on data lakes.Data engineers: Build governed data marts automatically from query patterns and optimize pipelines.SQL analysts: Create and tune models self‑service without deep engineering expertise.Finance leaders: Track KPIs in a governed metrics layer with consistent, real‑time views.Operations and SRE: Perform AI‑assisted root cause analysis and anomaly detection across metrics.Product managers: Monitor goals, cohorts, and feature usage with dynamic dashboards and NL insights.Supply chain teams: Analyze multi‑dimensional performance across regions, vendors, and SKUs at scale.Marketing teams: Run campaign performance and customer 360 analytics with sub‑second queries.Data platform owners: Modernize OLAP to cloud‑native, reduce TCO, and scale elastically across clouds.AI/ML practitioners: Explore features and aggregate training datasets quickly from governed metrics.