LavaLake vs Oracle Autonomous AI Lakehouse
LavaLake
lavalake.ioOracle Autonomous AI Lakehouse
oracle.comSide by side
| Figure | LavaLake | Oracle Autonomous AI Lakehouse |
|---|---|---|
| Price from | €249/mo | Free |
| Free plan | Yes | Yes |
| Free trial | Yes | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| Linux | — | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 4 | 5 |
| Spec score · Data Lakehouse Platforms | 7.9 (#8) | 7.8 (#9) |
| Founded | 2026 | 1977 |
| Purpose | LavaLake combines a data warehouse and lakehouse with AI agents, SQL, and dashboards for deployment in a customer's own data center. | Oracle describes Autonomous AI Lakehouse as a pay-per-use platform for running AI on data with open-source lake technologies and enterprise data warehouse capabilities. |
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
LavaLake
LavaLake combines a data warehouse and lakehouse with SQL, dashboards and AI agents for deployment in a customer’s own data center. Its assistant can find data, query metrics and create dashboards using the signed-in user’s permissions. An MCP server lets external agents use platform tools under those permissions. Read-only database sources include PostgreSQL, MySQL, MS SQL Server, SAP Business One and SAP S/4HANA. CSV and DATEV files can be imported, while PDF, Word and text documents can be searched. Hybrid search combines vector and keyword results using a locally run nomic-embed-text model with PostgreSQL and pgvector. The lakehouse uses Apache Iceberg on S3-compatible storage, Nessie as its versioned catalog and Trino as its query engine. Tableau and Power BI connect through a read-only HTTP feed that applies analyst identity and records data fetches in an audit chain. The maker says lakehouse data and local search stay on the customer’s network, while external AI providers receive conversation content and assistant tool results. Core is free with no time limit; paid plans start at €249/mo.
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.