Promethium

6.3easy start · #16 of 23
in Data Virtualization Software

Free to practise onnot on record
Free trialnot on record
Well documentedyes
Runs where you worknot on record

Runs on api, self-hosted, Web.

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Promethium is ranked #16 of 23 in data virtualization software on The Geeks Club. It runs on API, Self-hosted, Web.

Promethium plans and pricing

All plans

Enterprise (custom pricing) Not published No per-query or per-user charges · Performance scales by Universal Query Engine worker nodes · Unlimited data connectors · Dedicated support and SLAs promethium.ai · 2 Oct 2026

Compared on data virtualization software

Deployment model: hybrid

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The record

What it does: Promethium’s AI Insights Fabric lets people and AI agents query, understand, and trust enterprise data wherever it lives.
Live federation: The Universal Query Engine queries distributed data in place across cloud, on-premises, and SaaS systems without copying it.
Cross-source SQL: The Universal Query Engine can run distributed SQL across systems including Snowflake, Databricks, and Oracle.
Business context: The 360° Context Hub curates context from catalogs, BI tools, semantic models, business rules, and tribal knowledge into the Insights Context Graph.
Answer validation: The Trust Harness validates answers against the Insights Context Graph and provides SQL, data lineage, reasoning, and source context.
Governance: The Trust Harness describes role-based access, row- and column-level controls, and domain policies enforced at query time.
Security features: The pricing page lists SSO, RBAC, VPC deployment, and audit logging as included enterprise security features.
Deployment: Promethium describes a hybrid architecture with a Promethium-managed cloud control plane and a customer-deployed data plane in a VPC or on-premises environment.
Integrations: The maker lists native data connectors including Snowflake, Databricks, Oracle, PostgreSQL, S3, and Salesforce.
Agent access: The Open Agentic Platform describes integrations with AI agents and tools through MCP and open standards.
Support: Every deployment includes dedicated expert support and SLAs for enterprise environments.
Intended users: Promethium presents use cases for data and business analysts, business users and executives, and agents and applications.
Pricing limits: The maker states that its pricing has no charges for data volume, user counts, or API calls, with cost tied to performance.
Founded: 2018

Where it ranks on The Geeks Club

Best Data Virtualization Software in 2026#16 of 23
Best Data Fabric Software in 2026#16 of 23

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Sources

promethium.ai/about-promethium/· checked 2 Oct 2026
promethium.ai/product-overview/· checked 2 Oct 2026
promethium.ai/pricing/· checked 2 Oct 2026
promethium.ai/universal-query-engine/· checked 2 Oct 2026
promethium.ai/open-agentic-platform/· checked 2 Oct 2026
promethium.ai· checked 2 Oct 2026