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SPECIFICTION
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LavaLake

lavalake.io

From €249/mo Free plan WebAPISelf-hosted
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Spec score 7.9 #8 of 23 in Data Lakehouse Platforms

What it is

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.

Spec sheet

Purpose
LavaLake combines a data warehouse and lakehouse with AI agents, SQL, and dashboards for deployment in a customer's own data center.Read 7 Oct 2026 · lavalake.io
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.Read 7 Oct 2026 · lavalake.io
Founded
2026Read 28 Sep 2026 · lavalake.io
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.Read 7 Oct 2026 · lavalake.io
AI assistant
Its built-in assistant can find data, query metrics, and create dashboards, with actions running under the signed-in user's permissions.Read 7 Oct 2026 · lavalake.io
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.Read 7 Oct 2026 · lavalake.io
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.Read 7 Oct 2026 · lavalake.io
Data sources
The product lists PostgreSQL, MySQL, MS SQL Server, SAP Business One, and SAP S/4HANA as read-only database sources.Read 7 Oct 2026 · lavalake.io
Files and documents
It supports CSV and DATEV file imports and makes PDF, Word, and text documents searchable.Read 7 Oct 2026 · lavalake.io
MCP
The platform includes an MCP server that lets external agents use platform tools under the user's permissions.Read 7 Oct 2026 · lavalake.io
Notable limitations
High availability and fully air-gapped operation are listed as planned, and change data capture and continuous ingestion are in development.Read 7 Oct 2026 · lavalake.io
Search
Hybrid search combines vector and keyword results using a locally run nomic-embed-text model and PostgreSQL with pgvector.Read 7 Oct 2026 · lavalake.io
Storage and formats
The lakehouse uses Apache Iceberg on S3-compatible storage with Nessie as its versioned catalog and Trino as its query engine.Read 7 Oct 2026 · lavalake.io

Plans and prices

Core Free free; no time limit Up to 16 vCPU · single machine · community support Read 7 Oct 2026 · lavalake.io
Team €249 a month per month Up to 192 vCPU · up to 10 users · ticket support, answer within a business day Read 7 Oct 2026 · lavalake.io
Business €1,250 a month per month Up to 512 vCPU · unlimited users · 8/5 support with a committed response time Read 7 Oct 2026 · lavalake.io
Enterprise €2,499 a month per month, per cluster Unlimited vCPU · unlimited users · named contact · migration support included Read 7 Oct 2026 · lavalake.io

Every LavaLake plan and price →

Strong points and limits

Strong points

  • Free Core plan has no time limit.
  • Assistant actions use the signed-in user’s permissions.
  • Supports Tableau and Power BI through a read-only feed.
  • Lakehouse data and local search stay on the customer’s network.

Limits

  • High availability is planned, not listed as available.
  • Fully air-gapped operation is planned.
  • Continuous ingestion is in development.
  • Kubernetes deployment has operational gaps, including policy integration.

Who it suits

LavaLake suits organizations seeking a self-hosted data platform with SQL, dashboards and permission-aware AI tools. It is aimed at teams able to deploy and operate its data-center stack.

Verdict

LavaLake specifies its storage, query and access-control components as well as its deployment model. Note that high availability and fully air-gapped operation remain planned, while continuous ingestion is still in development.

Where Specifiction places it

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