EDB Postgres^® AI for ClickHouse

The open source, column-oriented database built for real-time analytics. Sub-second queries on billions of events, now enterprise-supported by EDB.

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EDB Postgres AI empowers the architects of the modern enterprise

When a second is too long to wait.

Data warehouses can’t answer in milliseconds. ClickHouse® can. The open source, column-oriented OLAP engine, developed since 2016, is the dominant choice for high-throughput, sub-second analytics, powering observability, AdTech attribution, and FinTech event processing at companies handling billions of events a day. Most enterprises already run it, but without enterprise support.

EDB Postgres AI (EDB PG AI) for ClickHouse brings enterprise support to the open source core, with break/fix, security hardening, CVE response, and operational expertise, in the same way EDB has supported Postgres for 30 years. The difference: It arrives already connected. ClickHouse reads natively from the Iceberg catalog that EDB PG AI keeps up to date, so real-time analytics slot into your existing data estate with no pipeline to build.

Enterprise ClickHouse, already connected to Postgres.

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Key benefits

Real-time, at scale

Sub-second queries on live event streams with extreme ingest throughput. EDB PG AI for ClickHouse makes fraud scoring catch a transaction before it clears, keeps observability dashboards useful during an active incident, and gives AI agents context they need now.
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Connected to Postgres out of the box

ClickHouse reads from the same open Iceberg catalog as Postgres and WarehousePG, without custom connectors, ETL, or second copy of the data. The moment a transaction lands in Postgres, EDB PG AI for ClickHouse can query it in milliseconds.
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Sovereign and predictable

Run open source ClickHouse on your own infrastructure with predictable per-core pricing on-premises, in a private VPC, or hybrid. You control where data lives and what it costs, without consumption billing on vendor-controlled clouds.
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Use cases

Real-time fraud and risk monitoring

ClickHouse ingests transaction events and returns a risk score in milliseconds; fraud agents query live signals and historical patterns in the same loop to catch fraud before the transaction clears.
Operational observability

An OpenTelemetry-native time-series and log analytics backbone—an alternative to Splunk and Elastic—feeds live dashboards and keeps SRE teams ahead of incidents.
Live event context for AI agents

ClickHouse feeds real-time event data into the agent context layer via MCP, enabling sub-second decisions across the full analytical estate.
AdTech and digital analytics

Attribution, A/B testing, and conversion tracking at web scale. These workloads where ClickHouse is already the dominant open source choice are now met with enterprise reliability and governance.
Personalization and supply chain

Real-time behavioral and operational signals drive personalization and replenishment, while WarehousePG supplies historical depth. Both read the same catalog, with no duplication.