OpenLake vs Oracle Autonomous AI Lakehouse
OpenLake
openlake.co
Oracle Autonomous AI Lakehouse
oracle.comSide by side
| Figure | OpenLake | Oracle Autonomous AI Lakehouse |
|---|---|---|
| Price from | — | Free |
| Free plan | — | Yes |
| Free trial | — | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| Linux | — | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 5 |
| Spec score · Data Lakehouse Platforms | 7.6 (#10) | 7.8 (#9) |
| Compliance | OpenLake says it is not a HIPAA-certified product and places compliance configuration and evidence within the customer's own boundary. | Oracle states that Autonomous AI Database meets a broad set of international and industry-specific compliance standards. |
| Security | OpenLake describes end-to-end SSO with enforced MFA, role-based access, managed secrets, network isolation, and administrative audit logs. | Oracle says Autonomous AI Database encrypts data at rest and in transit by default and automatically applies security patches and updates. |
Plans
Oracle Autonomous AI Lakehouse
- Always Free Autonomous AI LakehouseFree
- Bring Your Own LicensePriced on request
- Oracle Autonomous AI Lakehouse on Dedicated InfrastructurePriced on request
- Oracle Autonomous AI Lakehouse on Exadata Cloud@CustomerPriced on request
- Oracle Autonomous AI Lakehouse ServerlessPriced on request
In their own words
OpenLake
OpenLake is a managed data lakehouse platform deployed in a customer’s cloud account, with API, self-hosted, and web access. It combines Trino, Apache Spark, Apache Iceberg, Apache Polaris, Apache Superset, PostgreSQL, Neo4j, Elasticsearch, and Polars. Its browser SQL workbench uses Trino and can draft queries from natural-language prompts grounded in readable catalogs. Teams can schedule and monitor ETL jobs written in Spark, Polars, Python, or Bash, including work on temporary Spark clusters. Analysts can launch preconfigured cloud workstations through a browser or native client over a secure tunnel without public exposure. OpenLake connects Tableau, Power BI, databases, APIs, S3 feeds, and files. It describes SSO with enforced MFA, role-based permissions, managed secrets, network isolation, and audit logs. Deployments can use customer-owned buckets, open Iceberg tables, streaming ingestion, governance catalogs, and offline artifacts in networks without internet egress. AI cataloging, natural-language querying, and incident-triage proposals are included. Pricing is on request.
Oracle Autonomous AI Lakehouse
Oracle Autonomous AI Lakehouse is a pay-per-use platform for working with data through open lake technologies and enterprise data warehouse capabilities. It can query Apache Iceberg tables across clouds without moving the data, and is available on OCI, AWS, Azure, Google Cloud, and Exadata Cloud@Customer. It supports structured, semi-structured, and unstructured data, with catalog integrations including OCI Data Catalog, AWS Glue, and Apache Iceberg catalogs in Databricks and Snowflake. Data Studio provides drag-and-drop workflows for integrating data from more than 100 application, cloud service, and database sources, and enables bidirectional sharing with Power BI and Tableau through Delta Sharing. Its AI and analytics tools include machine learning, graph and spatial analytics, and AI Vector Search for semantic search and retrieval-augmented generation. Select AI can use models from providers including Cohere, OpenAI, Google, Anthropic, and AWS. Oracle says automated management covers provisioning, security, tuning, and scaling. The Always Free offer includes two database instances, subject to capacity limits; a separate trial provides US$300 in cloud credits for up to 30 days.