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Universal Query Engine

Federated Access to All Your Enterprise Data

The Universal Query Engine connects to distributed data sources across cloud, on-prem, and SaaS systems — querying data live, in place, with zero-copy architecture. No ETL. No replication. No sync delays.

WHY IT MATTERS

Your Agents Need One Interface to All Your Data

AI agents fail when they can’t reach the data. And in most enterprises, that data is spread across cloud warehouses, relational databases, data lakes, and SaaS applications — each with its own interface, dialect, and access model. The Universal Query Engine gives every agent a single, federated access point to your entire data estate. No custom integrations per source. No data movement. Just one interface that connects to everything, live.

One Interface for Every Agent and User

No custom connectors to build per source, no separate integration per consumer. One federated access layer connects AI agents, BI tools, analysts, and applications to your entire data estate — deployed in days, not months.

Always-Current Answers

Agents query live data where it lives, in real time. No stale copies, no sync delays — every response reflects the current state of the business.

Full Infrastructure Flexibility

No forced migrations, no lock-in to a single warehouse, no consolidation required. Keep your existing platforms, add new ones freely — data stays where it is.

Enterprise-Scale Performance

Pushdown optimization routes computation to source systems. Adaptive query planning accounts for data volume, network conditions, and source capabilities — delivering fast results across even the most complex, distributed environments.

KEY CAPABILITIES

Live, Federated, Zero-Copy

 

Live Data Access 

The Universal Query Engine queries data where it lives, in real time. Every query hits the source system directly — no copies, no sync pipelines, no overnight batch jobs. Whether your data is in Snowflake, Oracle, S3, or Salesforce, the engine connects natively and returns results from the live source. This means your answers always reflect the current state of the business, not yesterday’s snapshot.

Zero-Copy 

Traditional approaches require moving data into a centralized warehouse or lakehouse before it can be queried. The Universal Query Engine eliminates that step entirely. Data stays in your existing platforms — no ETL pipelines to build, no replication jobs to monitor, no storage costs to manage. Built on Trino and extended for enterprise scale, the engine pushes computation to the source systems, so data never moves. The result: faster time to insight, lower infrastructure cost, and zero data sprawl.

Cross-Source Query Execution 

Run a single SQL query that spans Snowflake, Databricks, Oracle, PostgreSQL, and more — simultaneously. The Universal Query Engine resolves schemas, optimizes joins, and pushes filters and aggregations down to each source system for maximum performance. Intelligent query planning routes computation to the most efficient execution path, with adaptive optimization that accounts for data volume, network latency, and source capabilities. The result is enterprise-scale analytics without the overhead of consolidating data into a single platform.

Diagram showing how Promethium connects to enterprise data sources. A Promethium interface sits at the top, linked by green lines to four connected data source types below: Data Lakes, Data Warehouses, Relational Databases, and Applications — representing how Promethium unifies access across distributed, hybrid environments. Diagram showing how Promethium combines data from multiple platforms into a unified, verified result. The image includes connections from Salesforce, Snowflake, Databricks, and Microsoft SQL Server feeding into a central plus sign, which then leads to a checkmark icon representing a complete, accurate answer.
HOW IT WORKS

Query Everything Across Your Entire Data Ecosystem

From connecting your first source to delivering live results — here’s what happens under the hood.

Connect Everywhere

Link to any data source across cloud, on-prem, or SaaS systems through native connectors — Snowflake, Databricks, Oracle, PostgreSQL, S3, Salesforce, and more.

Discover Metadata Automatically

Crawl and index schemas, table relationships, and column-level metadata across every connected source — building a live map of your data estate.

Execute Federated Queries

Run distributed SQL across multiple systems simultaneously, with pushdown optimization that routes computation to source systems for maximum performance.

Optimize for Performance

Intelligent query planning adapts to data volume, source capabilities, and network conditions — ensuring fast results at enterprise scale.

Deliver Results Anywhere

Publish live results to BI tools, AI agents, or custom applications through MCP, APIs, and open standards — without copying a single row.

THE PROMETHIUM DIFFERENCE

Federated. Live. Instant.

Unified Access, Zero Movement

Connect to all your enterprise data and query it where it lives — no duplication, no migration, no lock-in.

Enterprise-Scale Performance

Trino-based federated query engine with pushdown optimization, adaptive query planning, and intelligent routing across hybrid environments.

Open and Extensible

Native connectors and open APIs integrate with your existing data sources, BI tools, catalogs, and AI agents.