EDB POSTGRES AI · Converged Analytics
The full data lifecycle, under your control.
EDB empowers the architects of the modern enterprise
Your data is scattered. Your insights are stale. Your stack isn't yours.
Transactional data lives in one system. Real-time events in another. Historical analysis in a third—and the lakehouse somewhere else entirely. Getting insight from all of them means building pipelines, wrestling with stale snapshots, and waiting days for answers that should take seconds. Meanwhile, the infrastructure your business runs on belongs to someone else.
From fragmented data estate to agent-ready analytics in five steps.
-
1 — CONTROL
Open source sovereignty
Postgres, ClickHouse, WarehousePG, and Apache Iceberg are open source, and you can deploy EDB Postgres® AI anywhere. No vendor controls your data, runtime, or migration path.
-
2 — SYNC
No ETL layer
PGAA continuously replicates live Postgres transactions directly to open Iceberg format. No pipelines to build, no lag to manage, no stale snapshots to reconcile.
-
3 — UNIFY
One Postgres frontend
Postgres, ClickHouse, and WarehousePG query the same shared catalog through standard SQL. Operational data, real-time events, and petabyte-scale history become queryable from one place.
-
4 — RIGHT-SIZE
Performance at every scale
Match the engine to the workload without changing how you query: ClickHouse for real-time queries, WarehousePG for petabyte-scale analytics, or offload to NVIDIA Spark RAPIDS for up to 99x GPU-accelerated performance.
-
5 — ACT
AI-ready by default
AI agents connect to the full analytical estate through MCP—operational, real-time, and petabyte-scale data—governed from day one. No custom integration required.
See PGAA in action
Watch a query execute across warehouse tables and open lakehouse formats through one governed metadata layer.
Proof in production
faster single-node queries with PGAA
GPU-accelerated performance with NVIDIA Spark RAPIDS
more cost-efficient on high-concurrency workloads
more consistent concurrency performance
Running in production at petabyte scale.
“The performance is there, the stability is there, the support is as responsive as it should be.”
—MNTN Engineering Team
of sustained connected TV analytics load with zero instability.
“EDB Postgres AI for WarehousePG will give us a way to rein in costs with superior performance—and we can do it with total data sovereignty.”
—Kyobo Book Centre
reclaimed. Performance improved. Cloud costs eliminated.
“Its support for Greenplum workloads is helping us maintain control of where and how we deploy open source software.”
—Grigoriy Zeleniy, CTO, Euronext
to migrate production trading network workloads.
EDB Sovereign Assurance Program
We don't just hand you infrastructure and wish you well.
We sell you the system. And then we ensure it runs. With included services blocks and a technical account manager, the EDB Sovereign Assurance program is a commitment to qualifying customers to provide the assistance you need for your sovereign deployment to be operational in weeks, not months.
The architecture behind the outcome.
Where converged analytics lives in the platform.
Converged analytics spans the unified data and governance layers—PGAA, ClickHouse, and WarehousePG operate on a shared open Iceberg catalog.
Resources
-
TECHNICAL BRIEF
-
SOLUTION BRIEF
-
-
Related Capabilities
Warehouse Analytics
EDB Postgres AI for WarehousePG is an open source, petabyte-scale data warehouse built on Postgres.
-
Related Capabilities
Agentic Migrations
Modernize legacy databases and warehouse infrastructure with automated schema conversion and application code rewriting.
Bring the full data lifecycle under your control.
Tell us how your data estate is structured—transactional Postgres, warehouse, lakehouse, or all three—and we'll show you how EDB Postgres AI converges it.
Frequently Asked Questions
Converged analytics describes a unified data architecture that connects operational databases, real-time analytics engines, data warehouses, and lakehouses into a single queryable environment—eliminating ETL pipelines and stale snapshots. EDB PG AI deploys the PGAA extension as a continuous bridge: PGAA publishes live Postgres data to a shared open-format Iceberg catalog, which ClickHouse reads for millisecond real-time queries and WarehousePG reads for petabyte-scale historical analytics—all with familiar SQL.
EDB Postgres AI for ClickHouse is an enterprise-supported real-time analytics engine that reads directly from the shared Iceberg catalog kept current—no separate ingestion pipelines required. It delivers millisecond-latency responses for live dashboards, fraud scoring, application log analytics, and high-concurrency event workloads, with governance policies inherited automatically from Postgres.
DB Postgres AI for WarehousePG is an enterprise-supported petabyte-scale analytics engine built on a massively parallel processing architecture. It reads directly from the shared Iceberg catalog for historical analytics, large-scale aggregations, and machine learning workloads across structured and semi-structured data—delivering up to 52% more consistent concurrency performance than leading cloud data warehouses.
Zero-ETL means analytical queries run directly against live data without requiring extraction, transformation, and loading into a separate system first. EDB's PGAA extension continuously replicates live Postgres transactions to open Iceberg format, making operational data immediately queryable by ClickHouse, WarehousePG, and any Iceberg-compatible engine—no pipelines, no lag, no stale snapshots.
PGAA optionally offloads analytical workloads to NVIDIA Spark RAPIDS, delivering up to 99x the performance of standard Postgres execution for ML feature generation, fraud pattern matching, and route optimization.
Through MCP, AI agents access the full analytical estate—ClickHouse real-time data, WarehousePG historical data, and the lakehouse—without custom integration work.