Kyligence Enterprise is an AI Augmented data management and analytics platform, powered by Apache Kylin. The Intelligent Analytics Engine automatically accelerates insights from massive data sets, significantly improving the productivity of data engineers and analysts.
Kyligence Enterprise can enable over 100,000 concurrent users to easily receive query results on big data in sub-seconds, with limited resources. Data analysts and business users are empowered to analyze massive data sets interactively, generating instant insights.
The system continuously learns the query behavior patterns and data features of each user. Built-in, unsupervised learning algorithms enable recommendations for optimizing the data models.
Kyligence Enterprise intelligently routes SQL queries to underlying engines such as Hive, SparkSQL, Greenplum, and more. With Smart Pushdown™, teams are empowered with a unified architecture that supports dashboard reporting, ad-hoc reporting, data discovery, and many other activities.
A smart model adapts with flexible business demand. When source schema changes, user don’t need to rebuild the whole model, the system will automatically update the impacted model in a cost-effective manner.
The optimized architecture runs on Spark, with simplified job steps and improved build performance by 3x, while the unified architecture and storage format requires fewer resources.
Kyligence Enterprise enables resources to be isolated for different workloads within the same deployment, providing fault tolerance and full functionality for each tenant.
Kyligence Enterprise is the only solution that supports read/write separation for big data analytics, providing high availability and reliability for mission-critical workloads. A main cluster is used for data loading, and a read-only cluster serves queries.
Kyligence Enterprise supports all enterprise-grade security requirements including LDAP, SAML, Kerberos, and Sentry integration on Hadoop. The Access Control List (ACL) provides granular access control at the column, row, and cell level.