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Apache Kylin is the leading open source OLAP (online analytics processing) engine for Big Data. Capable of sub-second query latency on trillions of records, Kylin delivers a significant productivity boost to analytics operations in organizations of almost any size.
Kyligence provides an AI Augmented Analytics platform, powered by Apache Kylin, designed to simplify enterprise Big Data analytics for business users, analysts, and data engineers. With machine learning, self-service analytics and seamless integration with mainstream BI tools, Kyligence makes it easy to accelerate analytics from on-premises to multi-cloud.
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Cube, Row, Column and Cell-Level
In the era of big data, integrated data analytics solutions based on traditional architecture can no longer meet the growing demands of customers.
Both Apache Kylin and Kyligence are based on the scale-out architecture design, allowing them to easily meet the strictest needs of enterprise-level analytical applications
However, only Kyligence supports multi-tenancy, enabling enterprise resource sharing across multiple departments and organizations. It guarantees the service level and security between tenants, and helps to reduce development and maintenance costs, and accelerates adoption.
Kyligence has built an intelligent query engine to serve various query loads, providing a unified query analysis platform for all types of users. Kyligence's cloud-native architecture satisfies customers’ needs in terms of high availability, multi-tenant isolation, high throughput, load balancing, etc., and reduces the burden of monitoring, operation, and maintenance.
Kyligence seamlessly integrates with various mainstream tools such as Power BI, Tableau, etc., allowing business users to use their preferred tools to access big data.
Kyligence provides granular access control to help users assign different data access permissions to specific users on a unified data source and semantic layer, down to the cell level.
Kyligence also supports integration with existing Identity and Access Management (IAM) systems (such as LDAP, Kerberos).
Apache Kylin is based on the Hadoop big data platform and supports Hive as its main data source. Kyligence supports additional SQL on Hadoop engines such as Impala and also provides commercial database (data warehouse) libraries such as Oracle, Greenplum, and other connectors to help companies migrate traditional analytics solutions to modern big data platforms.
Get a full side-by-side Big Data analytics platform comparison of Apache Kylin and Kyligence to help you figure out which one is right for your organization.
Written by members of the original contributing team to Apache Kylin, this comparison guide has all you need to ensure you decide on an OLAP analytics solution that checks off all of the boxes, whether that be Apache Kylin or Kyligence. Inside you'll get:
In order to make the right choice, you need to know all the facts. Download this free OLAP analytics guide for Apache Kylin and Kyligence today.
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