Apache Kylin

Apache Kylin is an open-source OLAP engine for SQL analytics, aimed at teams operating large data platforms on Linux. It is strongest when fast, concurrent BI queries and streaming-plus-batch analysis justify a substantial self-hosted deployment.

Overview

Kylin uses pre-calculation to target sub-second queries for large, high-concurrency analytics workloads. That approach suits dashboards and repeated analytical queries, where many users need timely results. The trade-off is operational: Kylin depends on Spark for compute, HDFS or S3-compatible storage, and MySQL or PostgreSQL for metadata, so it is a better fit for teams already equipped to run data infrastructure than for organizations seeking a managed, low-maintenance service.

The Apache Software Foundation distributes Kylin under Apache License v2. Version 5.0.4 is offered as source and binary packages, along with ASC and SHA-256 verification files. SQL and row-level security are supported.

Key features

Modeling and query performance

Pre-calculation is the core performance strategy: it is designed to deliver sub-second queries while handling large numbers of concurrent analytics requests. Kylin 5 can create models from SQL text and recommend index optimizations using query history, which gives teams a way to tune models around observed workloads. The payoff is most relevant when query patterns are recurring enough to benefit from modeled data.

Kylin 5 also integrates Apache Gluten as a native compute engine. The project overview describes a 2–4× performance improvement compared with vanilla Spark, making this an appealing option for teams already using Spark that want to pursue faster computation within Kylin.

Streaming, batch, and BI

Kylin accepts Apache Kafka as a streaming data source and supports fusion models for analyzing streaming and batch data together. This can suit organizations that need both incoming data and established analytical datasets in one modeling environment. Its named BI connections include Tableau, Power BI, and Excel, allowing existing reporting workflows to connect to Kylin.

Management and security

Kylin Server's web interface supports table management, model design, job triggering, and configuration maintenance. Deployments can use query, job, or all server modes, offering flexibility in how teams assign server responsibilities. Kylin 5 supports HTTPS, but it is disabled by default; teams should account for enabling it and configuring either a bundled or third-party certificate.

API authentication uses Basic Authentication. An API request can store authentication information in cookies for subsequent visits. The project directs general and security-feature questions to its user and developer mailing lists, and undisclosed vulnerability reports to the Apache security address.

Pricing

Apache Kylin is free and open source. The Apache Kylin plan costs nothing and provides the OLAP engine through source and binary packages under Apache License v2. There is no free trial because the software is already available without charge. The license removes a software purchase price, but it does not remove the technical work of operating Spark, storage, metadata, and the Kylin deployment.

Platforms

Kylin supports Linux operating systems only. It is self-hosted, provides a web interface, and has an API. Deployment documentation describes Spark compute running in Yarn or Standalone mode, HDFS or S3-compatible storage, and MySQL or PostgreSQL metadata. The Linux restriction and infrastructure requirements rule it out for teams that need a broadly supported desktop or managed cloud application.

Who it's for

Kylin is best for data engineering and analytics teams with Linux and Spark operations in place, especially those serving concurrent BI workloads or combining Kafka streams with batch analysis. SQL-based modeling, row-level security, and connections to established BI tools support organizational analytics use. It is a weaker choice for small teams without infrastructure expertise or anyone requiring non-Linux deployment.

Pros and cons

• Pros: Pre-calculation is designed for sub-second queries at high concurrency, a meaningful fit for busy analytical workloads.
• Pros: Kafka support and fusion models bring streaming and batch analysis into the same platform.
• Pros: SQL-based model creation, query-history-driven index recommendations, and named Tableau, Power BI, and Excel connections support established analytics workflows.
• Pros: Apache License v2 and free source and binary packages avoid software licensing costs.
• Cons: Linux-only support excludes teams whose deployment standard is another operating system.
• Cons: Spark, storage, and metadata dependencies demand infrastructure ownership rather than a lightweight installation.
• Cons: HTTPS is off by default, so secure deployments require deliberate configuration.

Alternatives

For a free SQL query engine with self-hosted deployment, consider PrestoDB. Apache Drill is another free Apache-licensed option, with embedded or cluster deployment. Choose Apache Hive for open-source data warehouse software, or Apache Impala for free Apache-licensed software with source and binary releases.

Comunica is free and available under the MIT license for open and commercial projects, with support for more operating systems than Kylin. Denodo Platform has a free Developer plan with a single server, four cores, 50 data products, and 2.5 TB per year, alongside unlimited data sources, consumers, and Data Marketplace users. Starburst Galaxy offers a free tier for up to three clusters and standard execution for ad hoc queries, as well as a Pro plan starting on request. Apache Arrow DataFusion is a free Rust library and CLI distributed as source artifacts, with Linux, macOS, and self-hosted platforms.

Browse Query Engine Software, OLAP Databases, and OLAP Software for more options.

Verdict

Choose Apache Kylin if your team runs Linux and Spark-based data infrastructure and needs high-concurrency SQL analytics, particularly across streaming and batch data. Its pre-calculation approach, modeling tools, and BI connections make a strong case for demanding workloads without software license fees. Look elsewhere if you need a managed service, a lighter operational footprint, or support beyond Linux.