openLooKeng
openlookeng.io
What it is
openLooKeng is a free, open-source data virtualization engine that lets teams query disparate systems through one SQL interface. It analyzes data where it resides, adding sources through connectors without requiring migration. Listed examples span relational databases, NoSQL systems, Hive, MPP warehouses, MySQL, Oracle, HBase, Elasticsearch, and Kafka. Queries can involve data centers, hybrid clouds, and geographically remote clusters using hierarchical deployment and cross-region plan optimization. Huawei describes interactive, batch, and streaming workloads, while noting that the first version supported interactive queries. Features include front scheduling, cross-source indexing, dynamic filtering, cross-source collaboration, horizontal scaling, and Coordinator active-active availability. The project is based on the open-source Presto SQL engine and uses Apache License 2.0. It is self-hosted, with Linux scripts for single-node, multi-node, and offline installation. Windows clients can connect through an ODBC driver supporting Windows 10 64-bit and Windows Server 2016 64-bit.
Spec sheet
- Purpose
- openLooKeng is an open-source data virtualization engine for querying data across disparate sources through a unified SQL interface.Read 9 Oct 2026 · huawei.com
- Product
- openLooKeng is described as a high-performance data virtualization engine.Read 4 Oct 2026 · huawei.com
- Intended users
- The launch announcement invites big-data developers to join the open-source community and describes analytics across data sources and data centers.Read 9 Oct 2026 · huawei.com
- Deployment
- The installation guide provides scripts for single-node and multi-node Linux deployments, including an offline installation option.Read 9 Oct 2026 · github.com
- License
- Huawei’s launch announcement states that openLooKeng is distributed under Apache License 2.0 for free use, modification, and redistribution.Read 9 Oct 2026 · huawei.com
- Client integration
- The project provides an ODBC driver for Windows and documents support for Windows 10 64-bit and Windows Server 2016 64-bit.Read 9 Oct 2026 · github.com
- Connector framework
- The project provides an extensible data-source connector framework.Read 4 Oct 2026 · huawei.com
- Cross data center
- It supports data analysis across data centers and hybrid clouds.Read 4 Oct 2026 · openlookeng.io
- 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.Read 9 Oct 2026 · github.com
- Deployment requirement
- The installation guide says Java must be newer than 1.8.0_151 for its multi-node installation script.Read 9 Oct 2026 · github.com
- Distributed queries
- Geographically remote openLooKeng clusters can participate in the same query using hierarchical deployment and cross-region query plan optimization.Read 9 Oct 2026 · github.com
- Foundation
- Huawei says openLooKeng uses the open-source Presto SQL engine as its basis for interactive query analysis.Read 4 Oct 2026 · huawei.com
- High availability
- The launch announcement describes coordinator active-active support and a scalable data-source connector framework.Read 9 Oct 2026 · huawei.com
- In-place analytics
- It supports analytics on data where it resides, without requiring data migration.Read 9 Oct 2026 · github.com
- No data migration
- The maker says new data sources can be added through connectors without data migration.Read 4 Oct 2026 · openlookeng.io
- ODBC security options
- The ODBC guide describes connection configuration options for SSL and Kerberos.Read 9 Oct 2026 · github.com
- Performance features
- The project README describes dynamic filtering, bitmap, Bloom and min-max indexes, and metadata, execution-plan, and ORC row-data caches.Read 9 Oct 2026 · github.com
- Query scenarios
- Huawei describes support for interactive, batch, and streaming query scenarios, with the first version supporting interactive queries.Read 4 Oct 2026 · huawei.com
- Query workloads
- The launch announcement describes interactive, batch, and stream query scenarios, while noting that the first version supported interactive queries.Read 9 Oct 2026 · huawei.com
- Reliability
- The project provides Coordinator AA high availability.Read 4 Oct 2026 · huawei.com
- Source code
- The project lists Gitee and GitHub as code hosting locations.Read 4 Oct 2026 · huawei.com
- SQL access
- It provides a unified SQL interface for accessing multiple data sources.Read 4 Oct 2026 · openlookeng.io
Plans and prices
openLooKeng Free Apache License 2.0; self-hosted deployment Read 9 Oct 2026 · huawei.com
Strong points and limits
Strong points
- Unified SQL across many source types
- Queries data in place without migration
- Supports remote-cluster and cross-region queries
- Extensible connector framework
- Apache License 2.0
Limits
- Self-hosted deployment requires operational work
- Linux installation requires Java newer than 1.8.0_151
- First version supported interactive queries
Who it suits
It suits big-data developers and teams that need SQL analytics across multiple databases, warehouses, data centers, or hybrid-cloud environments without moving source data.
Verdict
openLooKeng targets distributed SQL analysis across heterogeneous, geographically separated data. Its self-hosted Linux deployment and connector model fit teams managing their own infrastructure.
Where Specifiction places it
- Data Federation Software#5 of 248.3
Alternatives to openLooKengAll alternatives →
Stardog Free plan 8.4 Visit 
Apache Calcite Free plan 8.1 Visit