
IOMETE
IOMETE is a data lakehouse platform for AI and analytics built on Apache Spark, Apache Iceberg, and Kubernetes.
What IOMETE is
IOMETE is a data lakehouse platform for AI and analytics built on Apache Spark, Apache Iceberg, and Kubernetes. It combines SQL analytics with query federation, allowing teams to query relational and NoSQL databases as well as flat files without complex ETL pipelines. A centralized catalog holds dataset metadata, lineage, collaboration, and quality information. IOMETE supports ACID transactions, streaming ingestion, open table formats, and external storage. It can be deployed on-premises, in private or public clouds, or across hybrid environments. Connectivity options include JDBC/ODBC, REST APIs, SQL interfaces, custom endpoints, and webhooks. Ready-made integrations include Tableau, Power BI, and Apache Superset, as well as Apache Airflow, dbt, and Apache NiFi. Collaboration features include a SQL editor, Git integration for SQL worksheets and queries, and multi-domain support. Access controls can apply at database, table, column, and row levels, including masking and row filters; authentication supports local credentials, LDAP, and federated SAML/OIDC providers. The Free plan supports up to 100 vCPUs with community support. Enterprise pricing is $500 a year per vCPU, with a 100,000 USD annual minimum commitment.
Good
- Can run on-premises, in private or public clouds, or hybrid environments.
- Federates queries across relational, NoSQL, and flat-file data.
- Central catalog includes lineage and quality information.
- Offers database-, table-, column-, and row-level controls.
- Free plan supports up to 100 vCPUs.
Watch out
- Enterprise has a 100,000 USD annual minimum commitment.
- Enterprise pricing is $500 a year per vCPU.
- Free plan includes community support.
Who it suits
IOMETE is aimed at enterprise data teams and engineers building analytics and AI data systems. Its deployment choices and granular access controls may suit teams with varied infrastructure and governance requirements.
Verdict
IOMETE brings query federation, cataloging, integrations, and fine-grained access controls into a deployable lakehouse platform. The Free plan is limited to 100 vCPUs, while Enterprise carries a substantial minimum commitment.
Plans and prices
From IOMETE's own pricing page, checked 1 Oct 2026.
| Plan | Price | What it gives you |
|---|---|---|
| Free | Free | Max 100 vCPUs · Self-hosted, on-premises deployment · Core features · Community support · Zero |
| Enterprise | $500 a year | Unlimited vCPUs · Self-hosted, on-premises deployment · Data masking · Role level security · Disaster zone · Auditing · Enterprise support · $500 license cost per vCPU per year; $100,000 per year (200 vCPU) minimum commitment |
| Business Critical | Priced on request | Unlimited vCPUs · Self-hosted, on-premises or hybrid deployment · Enterprise features · Multi-region · Enterprise support · Dedicated engineers · $250,000 per year minimum commitment |
The facts
Each one read from IOMETE's own pages, with the date it was checked.
What it does
- Authentication
- Authentication supports local credentials, LDAP synchronization, and federated SAML/OIDC identity through providers including Okta, OneLogin, and Microsoft Entra ID.checked 1 Oct 2026
- BI integrations
- Ready-made business-intelligence integrations include Tableau, Power BI, and Apache Superset.checked 1 Oct 2026
- Collaboration
- Its features include a collaborative SQL editor, Git integration for SQL worksheets and queries, and multi-domain support.checked 1 Oct 2026
- Compliance
- The IOMETE homepage labels the platform SOC2 Certified, HIPAA Compliant, and GDPR Compliant.checked 1 Oct 2026
- Connectivity
- IOMETE supports JDBC/ODBC connectivity, REST APIs, SQL interfaces, custom endpoints, and webhooks.checked 1 Oct 2026
- Data catalog
- IOMETE includes a centralized data catalog for dataset metadata, collaboration, lineage, and quality information.checked 1 Oct 2026
- Data integrations
- Ready-made data-integration connections include Apache Airflow, dbt, and Apache NiFi.checked 1 Oct 2026
- Deployment
- IOMETE can run on-premises, in private or public clouds, or across hybrid environments.checked 1 Oct 2026
- Product
- IOMETE is a Data Lakehouse Platform for AI and Analytics built on Apache Spark, Apache Iceberg, and Kubernetes.checked 1 Oct 2026
- Query federation
- The Query Federation Engine queries relational and NoSQL databases and flat files without complex ETL pipelines.checked 1 Oct 2026
- Security controls
- IOMETE provides data access enforcement at database, table, column, and row levels, including masking and row-level filters.checked 1 Oct 2026
- Support
- The Free plan includes community support, while Enterprise and Business Critical plans include enterprise support, with Business Critical adding dedicated engineers.checked 1 Oct 2026
- Target users
- IOMETE says it is designed to empower enterprise data teams and is built by engineers for engineers.checked 1 Oct 2026
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