AetherLake vs Onehouse Cloud
AetherLake
github.comOnehouse Cloud
onehouse.aiSide by side
| Figure | AetherLake | Onehouse Cloud |
|---|---|---|
| Price from | Free | — |
| Free plan | Yes | — |
| Free trial | — | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| API | — | Yes |
| Self-hosted | Yes | — |
| Plans published | 2 | 1 |
| Spec score · Data Lakehouse Platforms | 8.6 (#3) | 7.4 (#12) |
| Purpose | AetherLake is a Kubernetes-native data lakehouse that combines storage, catalog, federated SQL, stream processing, orchestration, BI, and identity in a web control panel. | Onehouse is a fully managed lakehouse platform for analytics and AI that runs in the customer's VPC. |
Plans
AetherLake
- Internal, evaluation, and non-commercial useFree
- Commercial licensePriced on request
In their own words
AetherLake
AetherLake is a Kubernetes-native data lakehouse that brings storage, catalog, federated SQL, streaming, orchestration, BI, and identity into a web control panel. Its stack includes MinIO, Trino, Apache Polaris, Kafka, Flink, dbt, Airflow, Superset, Spark, Milvus, Prometheus, Grafana, PostgreSQL, and Keycloak. The panel shows pod health and resource use, supports service restarts, and provides workspaces for dbt, Kafka, Flink SQL, Trino queries, and Iceberg catalogs. Kafka and Flink are enabled by default; project examples describe streaming Kafka data into Iceberg tables and querying topics through Trino. Keycloak supplies OIDC single sign-on across services, with data-admin, data-scientist, and data-engineer roles. Deployment prerequisites include Kubernetes, Helm 3.12 or later, kubectl, Docker, and an NGINX ingress controller. Deployment materials cover AWS, Azure, and Google Cloud. An MCP server gives AI assistants access to platform status, logs and restarts, Trino queries, Polaris catalogs, and Airflow DAGs. The control panel is bilingual in English and Turkish. Internal, evaluation, development, testing, and non-commercial use is free; commercial use requires a separate license.
Onehouse Cloud
Onehouse Cloud is a managed lakehouse platform for analytics and AI that operates in a customer's virtual private cloud. It combines ingestion, compute, table services, query engines, and catalog synchronization for cloud-storage data. OneFlow incrementally writes Apache Hudi, Apache Iceberg, and Delta Lake tables. Quanton runs SQL, Spark jobs, and PySpark notebooks with autoscaling compute. Managed open-engine clusters support Trino, Apache Flink, and Ray. Automated table services are intended to improve query speed, with Onehouse stating results can be up to 10 times faster on tables. OneSync synchronizes metadata with Snowflake, Databricks Unity Catalog, Google Data Catalog, and AWS Glue. Onehouse says data remains in the customer's account and VPC, encrypted at rest and in motion. Project-level roles, audit logs, SOC 2 Type 1 and 2 certification, and PCI DSS compliance are listed. Usage-based billing uses Onehouse Compute Units, while cloud infrastructure is paid separately. A 30-day OneFlow trial includes $1,000 credit.