EnterpriseDB (EDB), the leading sovereign data and AI company, has announced a preview of horizontal scaling for EDB Postgres AI Distributed. Planned for general availability in February 2027, the capability uses sharding to distribute transactional writes across node groups, expanding write capacity while retaining the platform's established high-availability architecture.
EDB has previewed horizontal scaling for EDB Postgres AI Distributed, planned for general availability in February 2027.
The capability uses sharding to distribute transactional writes across node groups, expanding write capacity while retaining the platform's high-availability architecture.
As 86% of enterprise leaders expect an AI data system to be critical within three years, horizontal scaling gives the data layer room to grow without sacrificing availability or control.
It arrives as enterprises consolidate fragmented data, AI and agents into a single sovereign AI data system running workloads that can never pause.
Each shard group retains the platform's replication, automatic failover and configurable durability.
PG AI Distributed already runs always-on systems for more than 75 financial institutions, backed by more than a decade of distributed Postgres engineering.
Its production footprint includes a 250-node cluster and a cluster managing more than 70 TB of transactional data, with one customer operating more than 350 distributed clusters across over 10,000 cores.
The initial release is designed around transactions that operate within a shard group.
"An enterprise running its own AI data system needs control over how that system grows. A write ceiling should not force a database replacement or a retreat from the availability the business depends on. We're building the sovereign AI data system for the agentic enterprise. Horizontal scaling extends its operational foundation so customers can put more agents to work on the Postgres they already trust," said Max Romanenko, Chief Technology Officer, EDB.
Hitting a database limit can trigger months of work: buying more capacity, evaluating another platform, adapting applications, rebuilding availability protections and retraining the team. EDB's approach extends the PG AI Distributed architecture those teams already operate, with shard groups built the same way as the groups customers run today, using the same replication, failover and durability mechanisms.
Scaling out works by adding groups, with the same runbooks, extensions and in-place failover in seconds. Postgres stays Postgres, and quorum durability with asynchronous telemetry is set as policy for each workload, anywhere, with identical architecture on-premises, in the cloud and hybrid.
About EDB
EDB Postgres AI is the sovereign AI data system for the agentic enterprise. Built on Postgres, the world's leading open source database, EDB PG AI unifies transactional, analytical and AI workloads in a single architecture, eliminating the data movement, ETL and operational fragmentation that slow enterprises down. With governance enforced at the data layer and the flexibility to deploy on-premises, in hybrid environments or across clouds, enterprises operationalize their data and AI on infrastructure they own and control.
