LavaLake vs OpenLake

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.

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.