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LavaLake vs Onehouse Cloud

LavaLake

lavalake.io

Onehouse Cloud

onehouse.ai

Side by side

FigureLavaLakeOnehouse Cloud
Price from€249/mo—
Free planYes—
Free trialYesYes
Open source——
WebYesYes
APIYesYes
Self-hostedYes—
Plans published41
Spec score · Data Lakehouse Platforms7.9 (#8)7.4 (#12)
Access controlsThe security design uses Keycloak OIDC, RFC 8693 token exchange, Trino-enforced row access and column masking, and a WORM hash-chain audit log.The platform offers project-level role-based access controls and audit logs.
Founded20262021
PurposeLavaLake combines a data warehouse and lakehouse with AI agents, SQL, and dashboards for deployment in a customer's own data center.Onehouse is a fully managed lakehouse platform for analytics and AI that runs in the customer's VPC.

Plans

LavaLake

  • CoreFree
  • Team€249 a month
  • Business€1,250 a month
  • Enterprise€2,499 a month

LavaLake pricing →

Onehouse Cloud

  • Usage-based (OCU)Priced on request

Onehouse Cloud pricing →

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.

Visit lavalake.io

Onehouse Cloud

Onehouse Cloud is a managed lakehouse platform for analytics and AI that operates in a customer's virtual private cloud. It combines ingestion, compute, table services, query engines, and catalog synchronization for cloud-storage data. OneFlow incrementally writes Apache Hudi, Apache Iceberg, and Delta Lake tables. Quanton runs SQL, Spark jobs, and PySpark notebooks with autoscaling compute. Managed open-engine clusters support Trino, Apache Flink, and Ray. Automated table services are intended to improve query speed, with Onehouse stating results can be up to 10 times faster on tables. OneSync synchronizes metadata with Snowflake, Databricks Unity Catalog, Google Data Catalog, and AWS Glue. Onehouse says data remains in the customer's account and VPC, encrypted at rest and in motion. Project-level roles, audit logs, SOC 2 Type 1 and 2 certification, and PCI DSS compliance are listed. Usage-based billing uses Onehouse Compute Units, while cloud infrastructure is paid separately. A 30-day OneFlow trial includes $1,000 credit.

Visit onehouse.ai