Kiwi Fabric vs openLooKeng
Kiwi Fabric
kiwifylabs.comopenLooKeng
openlookeng.ioSide by side
| Figure | Kiwi Fabric | openLooKeng |
|---|---|---|
| Price from | — | Free |
| Free plan | — | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | — |
| Linux | — | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 0 | 1 |
| Spec score · Data Federation Software | 7.5 (#15) | 8.3 (#5) |
| Intended users | The maker identifies engineering teams with multiple databases, platform teams building internal data APIs, ISVs embedding cross-database queries, and enterprises with distributed-write needs. | The launch announcement invites big-data developers to join the open-source community and describes analytics across data sources and data centers. |
| Purpose | Kiwi Fabric provides cross-database SQL federation and distributed-write orchestration across relational, NoSQL, REST, and SOAP sources. | openLooKeng is an open-source data virtualization engine for querying data across disparate sources through a unified SQL interface. |
Plans
In their own words
Kiwi Fabric
Kiwi Fabric has no write-up on Specifiction yet; its figures are above.
openLooKeng
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.