Apache Kylin vs Teiid

Apache Kylin is an open-source OLAP engine for data analytics, designed for large-scale workloads with many concurrent users. Its pre-calculation approach is intended to support sub-second SQL queries. Kylin 5 can build models from SQL text, suggest index changes using query history, and use Apache Gluten as a native compute engine; the product overview describes a 2–4× improvement compared with vanilla Spark. For mixed data workloads, it supports Kafka streaming sources and fusion models for batch and streaming analysis, as well as internal tables for flexible queries and lakehouse scenarios. Teams can connect Tableau, Power BI, or Excel. A web UI supports table management, model design, job execution, and configuration. Deployment offers query, job, or all server modes. Kylin runs on Linux and uses Spark with Yarn or Standalone mode. Data storage can use HDFS or S3-compatible systems, while MySQL or PostgreSQL can hold metadata. The project is free under Apache License v2, with source and binary packages available. APIs use Basic Authentication; HTTPS is supported in Kylin 5 but disabled by default.

Teiid is a free, open-source data virtualization project that gives applications a uniform way to query multiple underlying sources. It works as a gateway rather than storing the data, and virtual databases can present separate sources together so applications can join or union their results. Access is available through JDBC, ODBC, OData, and REST. Built-in translators are listed for Oracle, DB2, SQL Server, MySQL, PostgreSQL, and files; custom translators can also be made. Its optimizer uses source capability information to send query work to underlying systems where possible. Documented runtimes include Spring Boot, WildFly, embedded Java, and OpenShift, with Spring Boot noted as less feature-complete than WildFly. Teiid is aimed especially at Java developers integrating enterprise data sources. Connecting to sources commonly requires third-party drivers that are not included. The FAQ cautions that big-data, LDAP-style, and primarily streaming workloads may not be a good fit. Teiid Designer is deprecated, with no further releases expected.