No. 10 of 24 ·Data Lakehouse Platforms

LavaLake

Web · Self-hosted · API · paid plans from €249/mo

Freedom report

Two barsScore 6.4

Free tierA free tier is on its own pricing page
Open codeNo open-source code on record
Runs widely1 of 6 device platforms
DocumentedPlans, terms and facts published

LavaLake is ranked #10 of 24 in data lakehouse platforms on Freedom251. It runs on API, Self-hosted, Web. There is a free plan. A free trial is offered. Paid plans start at €249/mo.

LavaLake plans and pricing

All plans

Core Free free; no time limit Up to 16 vCPU · single machine · community support lavalake.io · 7 Oct 2026

Team €249/mo per month Up to 192 vCPU · up to 10 users · ticket support, answer within a business day lavalake.io · 7 Oct 2026

Business €1,250/mo per month Up to 512 vCPU · unlimited users · 8/5 support with a committed response time lavalake.io · 7 Oct 2026

Enterprise €2,499/mo per month, per cluster Unlimited vCPU · unlimited users · named contact · migration support included lavalake.io · 7 Oct 2026

Compared on data lakehouse platforms

Free plan: Yes
Storage model: external
SQL analytics: Yes
ACID transactions: Yes
Table format support: open
Streaming ingestion: No
Governance catalog: Yes

Best LavaLake alternatives

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One bar Oracle Autonomous AI Lakehouse Free tier No. 1Free6.5 One bar Starburst Data Platform Free tier No. 2Free6.5 One bar Starburst Galaxy Free tier No. 3Free6.5 No signal Amazon SageMaker Autopilot Paid plans No. 4—6.4 One bar Apache Hudi Free tier No. 5Free6.4 One bar Bauplan Free tier No. 6$700/mo6.4

The record

Purpose: LavaLake combines a data warehouse and lakehouse with AI agents, SQL, and dashboards for deployment in a customer's own data center.
AI assistant: Its built-in assistant can find data, query metrics, and create dashboards, with actions running under the signed-in user's permissions.
MCP: The platform includes an MCP server that lets external agents use platform tools under the user's permissions.
Data sources: The product lists PostgreSQL, MySQL, MS SQL Server, SAP Business One, and SAP S/4HANA as read-only database sources.
Files and documents: It supports CSV and DATEV file imports and makes PDF, Word, and text documents searchable.
Search: Hybrid search combines vector and keyword results using a locally run nomic-embed-text model and PostgreSQL with pgvector.
Storage and formats: The lakehouse uses Apache Iceberg on S3-compatible storage with Nessie as its versioned catalog and Trino as its query engine.
BI integrations: A read-only HTTP feed supports Tableau and Power BI, applying the analyst's identity and recording data fetches in the audit chain.
Access controls: The security design uses Keycloak OIDC, RFC 8693 token exchange, Trino-enforced row access and column masking, and a WORM hash-chain audit log.
AI data handling: The maker says the lakehouse and local search stay on the customer's network, while external AI providers receive conversation content and assistant tool results.
Deployment: The reference deployment is a Docker Compose stack on one machine, with Ansible installation for Debian/Ubuntu; the Kubernetes Helm path has operational gaps including policy integration.
Notable limitations: High availability and fully air-gapped operation are listed as planned, and change data capture and continuous ingestion are in development.
Founded: 2026
Price from: €249/mo

Where it ranks on Freedom251

Best Data Lakehouse Platforms in 2026#10 of 24

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Sources

lavalake.io/en· checked 7 Oct 2026
lavalake.io/en/plattform/ingestion· checked 7 Oct 2026
lavalake.io/en/plattform/suche· checked 7 Oct 2026
lavalake.io/en/plattform/lakehouse· checked 7 Oct 2026
lavalake.io/en/plattform/bi· checked 7 Oct 2026
lavalake.io/en/plattform/governance· checked 7 Oct 2026