IOMETE vs LavaLake

IOMETE is a data lakehouse platform for AI and analytics built on Apache Spark, Apache Iceberg, and Kubernetes. It supports SQL analytics, ACID transactions, streaming ingestion, and open table formats, with external storage. Its Query Federation Engine can query relational and NoSQL databases and flat files without complex ETL pipelines. A centralized catalog holds dataset metadata, lineage, collaboration, and quality information. Teams can connect through JDBC/ODBC, REST APIs, SQL interfaces, custom endpoints, and webhooks. Integrations include Tableau, Power BI, and Apache Superset for business intelligence, as well as Apache Airflow, dbt, and Apache NiFi for data integration. Collaboration tools include a SQL editor, Git integration for SQL worksheets and queries, and multi-domain support. Access enforcement can operate at database, table, column, and row levels, with masking and row filters; authentication supports local credentials, LDAP synchronization, and federated SAML/OIDC. Deployment options include on-premises, private or public clouds, and hybrid environments. The Free plan allows up to 100 vCPUs and includes community support. Enterprise is listed at $500 per vCPU per year with a $100,000-per-year minimum commitment. Business Critical has a $250,000-per-year minimum commitment.

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.