- Home
- Data Federation Software
- openLooKeng
openLooKeng
What it is
openLooKeng is an open-source data virtualization engine for analyzing information across separate data sources through a shared SQL interface. It supports in-place analytics, so sources can be connected without moving their data first. Its connector framework covers joint queries across relational databases, NoSQL systems, Hive, and MPP data warehouses; examples include MySQL, Oracle, HBase, Elasticsearch, and Kafka. Geographically distant clusters can participate in a query through hierarchical deployment and cross-region query-plan optimization.
Huawei describes interactive, batch, and streaming query scenarios, although the first version supports interactive queries. Listed capabilities include front scheduling, cross-source indexing, dynamic filtering, cross-source collaboration, and horizontal scaling. Coordinator active-active high availability is provided. The project is based on the open-source Presto SQL engine and is licensed under Apache License 2.0. It is free and self-hosted, with Linux installation scripts for single-node and multi-node deployments. Its code is hosted on Gitee and GitHub.
For and against
For
- Unified SQL interface for multiple data sources
- Queries data in place without migration
- Supports cross-region cluster queries
- Free under Apache License 2.0
Against
- First version supports interactive queries
- Multi-node installation script requires Java newer than 1.8.0_151
- Self-hosted Linux deployment requires operating it yourself
The verdict
openLooKeng is a free option for teams that need to query disparate data in place through SQL. Its self-hosted deployment and stated first-version query scope are important considerations.
Who it suits
It suits big-data developers who need SQL-based analysis across multiple sources or data centers without migrating data. Teams can deploy it themselves on Linux and extend connectivity through the connector framework.
Plans and prices
openLooKeng
Apache License 2.0; self-hosted deployment
Read 9 Oct 2026 · huawei.com
On the record
- Client integration
- The project provides an ODBC driver for Windows and documents support for Windows 10 64-bit and Windows Server 2016 64-bit.github.com · read 9 Oct 2026
- Connector framework
- The project provides an extensible data-source connector framework.huawei.com · read 4 Oct 2026
- Cross data center
- It supports data analysis across data centers and hybrid clouds.openlookeng.io · read 4 Oct 2026
- Data sources
- The project README describes joint queries across RDBMS, NoSQL, Hive, and MPP data warehouses, with MySQL, Oracle, HBase, Elasticsearch, and Kafka as examples.github.com · read 9 Oct 2026
- Deployment
- The installation guide provides scripts for single-node and multi-node Linux deployments, including an offline installation option.github.com · read 9 Oct 2026
- Deployment requirement
- The installation guide says Java must be newer than 1.8.0_151 for its multi-node installation script.github.com · read 9 Oct 2026
- Distributed queries
- Geographically remote openLooKeng clusters can participate in the same query using hierarchical deployment and cross-region query plan optimization.github.com · read 9 Oct 2026
- Foundation
- Huawei says openLooKeng uses the open-source Presto SQL engine as its basis for interactive query analysis.huawei.com · read 4 Oct 2026
- High availability
- The launch announcement describes coordinator active-active support and a scalable data-source connector framework.huawei.com · read 9 Oct 2026
- In-place analytics
- It supports analytics on data where it resides, without requiring data migration.github.com · read 9 Oct 2026
- Intended users
- The launch announcement invites big-data developers to join the open-source community and describes analytics across data sources and data centers.huawei.com · read 9 Oct 2026
- License
- Huawei’s launch announcement states that openLooKeng is distributed under Apache License 2.0 for free use, modification, and redistribution.huawei.com · read 9 Oct 2026
- No data migration
- The maker says new data sources can be added through connectors without data migration.openlookeng.io · read 4 Oct 2026
- ODBC security options
- The ODBC guide describes connection configuration options for SSL and Kerberos.github.com · read 9 Oct 2026
- Performance features
- The project README describes dynamic filtering, bitmap, Bloom and min-max indexes, and metadata, execution-plan, and ORC row-data caches.github.com · read 9 Oct 2026
- Product
- openLooKeng is described as a high-performance data virtualization engine.huawei.com · read 4 Oct 2026
- Purpose
- openLooKeng is an open-source data virtualization engine for querying data across disparate sources through a unified SQL interface.huawei.com · read 9 Oct 2026
- Query scenarios
- Huawei describes support for interactive, batch, and streaming query scenarios, with the first version supporting interactive queries.huawei.com · read 4 Oct 2026
