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.
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.
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.
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.
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.
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.
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.
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.
From connecting your first source to delivering live results — here’s what happens under the hood.
Link to any data source across cloud, on-prem, or SaaS systems through native connectors — Snowflake, Databricks, Oracle, PostgreSQL, S3, Salesforce, and more.
Crawl and index schemas, table relationships, and column-level metadata across every connected source — building a live map of your data estate.
Run distributed SQL across multiple systems simultaneously, with pushdown optimization that routes computation to source systems for maximum performance.
Intelligent query planning adapts to data volume, source capabilities, and network conditions — ensuring fast results at enterprise scale.
Publish live results to BI tools, AI agents, or custom applications through MCP, APIs, and open standards — without copying a single row.
Connect to all your enterprise data and query it where it lives — no duplication, no migration, no lock-in.
Trino-based federated query engine with pushdown optimization, adaptive query planning, and intelligent routing across hybrid environments.
Native connectors and open APIs integrate with your existing data sources, BI tools, catalogs, and AI agents.