Tech riderRev. 8 Oct 2026

AetherLake

Ch 146.4of 24 Data Lakehouse Platforms

1Runs onself-hosted, Web
2CostsFree plan
3Storage modelboth
4SQL analyticsYes
5Table format supportopen
6Streaming ingestionYes
7Governance catalogYes

7 lines stated Written from the maker's own pages: github.com

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Overview

AetherLake is ranked #14 of 24 in data lakehouse platforms on Specifiction. It runs on Self-hosted, Web. There is a free plan.

AetherLake plans and pricing

All plans

Internal, evaluation, and non-commercial use Free Free for internal, evaluation, development, testing, and non-commercial use; commercial use requires a separate license github.com · 8 Oct 2026

Commercial license Not published Case-by-case licensing; may include revenue-sharing terms github.com · 8 Oct 2026

Compared on data lakehouse platforms

Free plan: Yesgithub.com
Storage model: bothgithub.com
SQL analytics: Yesgithub.com
Table format support: opengithub.com
Streaming ingestion: Yesgithub.com
Governance catalog: Yesgithub.com

Facts

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.github.com · 8 Oct 2026
Components: Its listed components include MinIO, Trino, Apache Polaris, Kafka, Flink, dbt, Airflow, Superset, Spark, Milvus, Prometheus, Grafana, PostgreSQL, and Keycloak.github.com · 8 Oct 2026
Control panel: The control panel shows pod health and resource use, supports service restarts, and includes workspaces for dbt, Kafka, Flink SQL, Trino queries, and Iceberg catalogs.github.com · 8 Oct 2026
Data transformations: Its dbt examples describe Bronze, Silver, and Gold stages using Kafka, Flink, Parquet, Iceberg, Superset, and Trino.github.com · 8 Oct 2026
Streaming: Kafka and Flink are enabled by default, and the project describes streaming Kafka data into Iceberg tables and querying Kafka topics through Trino.github.com · 8 Oct 2026
Identity: Keycloak provides OIDC single sign-on across services, with role names data-admin, data-scientist, and data-engineer.github.com · 8 Oct 2026
Security: The project says credentials are randomly generated per installation and advises setting production secrets and real TLS certificates before exposing a cluster.github.com · 8 Oct 2026
Telemetry: An anonymous heartbeat tracks installation counts, detected cloud environments, and component health; the project says it excludes PII, schemas, and dataset contents and can be disabled.github.com · 8 Oct 2026
Deployment: The quick start lists Kubernetes, Helm 3.12 or later, kubectl, Docker, and an NGINX ingress controller as prerequisites.github.com · 8 Oct 2026
Cloud support: The repository describes deployment configurations for AWS, Azure, and Google Cloud Platform.github.com · 8 Oct 2026
AI integrations: The MCP server lets AI assistants such as Claude and Cursor access platform status, logs and restarts, Trino queries, Polaris catalogs, and Airflow DAGs.github.com · 8 Oct 2026
License: The repository states BUSL-1.1 permits internal use, modification, and self-hosting; commercial hosted or managed offerings require a license, and releases convert to Apache-2.0 after four years.github.com · 8 Oct 2026
Languages: The control panel is described as bilingual in English and Turkish.github.com · 8 Oct 2026
Data stack: Its listed components include MinIO, Trino, Apache Polaris, Kafka, Flink, dbt, Airflow, Superset, Spark, and Milvus.github.com · 8 Oct 2026
Management: A Next.js web Control Panel provides platform status, SQL, catalog, Kafka, Flink, dbt, and observability views.github.com · 8 Oct 2026
External Kafka access: The documented external Kafka listener uses TLS and SCRAM-SHA-512 authentication.github.com · 8 Oct 2026
Production setup: The README advises replacing placeholder values, setting Control Panel secrets, overriding MCP server AIRFLOW_AUTH, and using real ingress TLS certificates before exposing a cluster.github.com · 8 Oct 2026
Deployment requirements: The quick start lists Kubernetes, Helm 3.12 or later, kubectl, Docker, and an NGINX ingress controller as prerequisites.mrtozkl.github.io · 8 Oct 2026
Cloud deployments: The project documents Terraform and Helm deployment materials for AWS, Azure, and Google Cloud.github.com · 8 Oct 2026
AI assistant integration: The MCP server documentation lists tools for platform status, service logs and restarts, Trino queries, Polaris catalogs, and Airflow DAGs, with client setup for Claude Desktop and Cursor.mrtozkl.github.io · 8 Oct 2026
Maker: The license names Murat Özkul as the licensor and identifies AetherLake as the project.github.com · 8 Oct 2026