For banks and regulated enterprises that rely on continuous analytics, the prospect of a warehouse recovery taking days poses a significant business risk. EDB Postgres® AI for WarehousePG addresses this challenge by reducing recovery times to mere minutes, allowing organizations to maintain control over their data operations.
Disaster Recovery for WarehousePG
On August 20, 2026, EnterpriseDB (EDB), a leader in sovereign data and AI solutions, announced the general availability of its Disaster Recovery feature for WarehousePG. This addition enhances the analytical capabilities of EDB Postgres AI (EDB PG AI) by providing a robust solution for protecting petabyte-scale data and restoring warehouse operations across various infrastructures. Enterprises can now maintain a current recovery environment, whether on-premises, in the cloud, or in a hybrid setup, and have the flexibility to determine when to activate it.
In today’s data-driven landscape, a warehouse outage transcends mere reporting issues; it has become an operational crisis. AI agents, analysts, and business teams increasingly rely on real-time analytical data for decision-making and maintaining essential services. However, at the petabyte scale, traditional nightly backups can leave hours of data vulnerable, and logical restores may take days, often competing with ongoing production workloads. This gap jeopardizes recovery objectives, customer commitments, and data sovereignty.
With the introduction of WarehousePG, EDB PG AI now incorporates a vital layer of resilience for enterprise-scale analytical workloads. Organizations can prepare a separate analytical environment for recovery while retaining control over the location of the standby, the frequency of restore points, and the timing of its activation.
Max Romanenko, Chief Engineering Officer at EDB, emphasized the urgency of this advancement: “At petabyte scale, a recovery process that takes days is not a recovery plan; it is unhedged business risk. WarehousePG brings the full distributed cluster back to a consistent point in time without forcing customers to trade production performance for protection. That moves disaster recovery from a best-effort exercise to a capability teams can test, measure, and trust.”
Transformative Results
In a recent deployment within the banking sector, which supports hundreds of terabytes of critical data and operates an around-the-clock analytical pipeline, the existing logical backup and recovery processes were inadequate. Full backups previously took nearly two days, and restores mirrored that duration, with backup jobs consuming most of the day. The implementation of Disaster Recovery for WarehousePG enabled the establishment of hourly restore points on cost-optimized recovery infrastructure, all without altering the application architecture.
- Approximately 180x faster recovery: Restore-point replay averaged just 16 minutes, a stark contrast to the previous two-day process.
- Four-times faster full backups: Full backup duration decreased from 44 hours to about 11 hours.
- Nearly 99% less query lock time: The physical backup significantly reduced lock contention compared to the prior logical backup method.
- No application redesign: The new recovery model was achieved without any modifications to the application architecture above the warehouse.
Results reflect a specific customer deployment; actual outcomes may vary based on environment, workload, and configuration.
Postgres-Proven Recovery at Scale
WarehousePG leverages the familiar Postgres framework, enabling disaster recovery processes that are well-known to Postgres teams, now applied across a complete standby cluster for warehouse-scale operations. The coordinator and every primary segment recover together to a single point in time, ensuring that the standby cluster emerges as a cohesive warehouse. EDB has long been a provider of mission-critical Postgres disaster recovery solutions, and this new feature extends that expertise to petabyte-scale analytics, utilizing open-source Barman and the Postgres write-ahead log (WAL) to synchronize recovery across distributed clusters.
Furthermore, WarehousePG’s built-in high availability safeguards against component failures within the cluster. The Disaster Recovery feature addresses more significant risks, such as the loss of an entire site, by enabling complete cluster recovery in a separate environment.
With the upcoming September version update, WarehousePG Enterprise Manager will integrate Disaster Recovery configuration, providing operational teams with a unified platform to manage cluster health, query diagnostics, and resource utilization. This enhancement unlocks new value for customers:
- Recovery aligned to business objectives: Teams can define restore-point frequency, continuously archive WAL, and assess replay performance against recovery point and time objectives.
- Sovereign control during outages: Organizations can select the region, jurisdiction, and infrastructure for the recovery environment while retaining authority over its promotion.
- A right-sized standby without data duplication: The recovery cluster can utilize a smaller footprint or cost-optimized cloud compute, eliminating the need for redundant production-scale data ingestion.
- Integrated operations and enterprise support: Disaster Recovery is included within the supported EDB PG AI for WarehousePG stack, simplifying the process and granting access to EDB’s expertise in Postgres and distributed warehousing.
Beyond Disaster Recovery, this foundational technology offers enterprises a controlled pathway for migrating analytical workloads to the cloud and testing peak-volume scenarios without disrupting production. Point-in-time restores can also alleviate the computational load during intensive month-end or quarter-end reporting periods, allowing teams to optimize resources upon completion of their tasks.
WarehousePG stands as an open-source, Postgres-based MPP data warehouse tailored for petabyte-scale analytics and high-concurrency workloads. EDB PG AI enriches this foundation with essential capabilities for production, including unified observability, built-in high availability, real-time ingestion, lakehouse interoperability, in-database AI and machine learning, vector search, and continuous enterprise support. Its deployment flexibility allows organizations to operate on-premises, within private VPCs, or across multiple clouds, ensuring control over data residency, infrastructure, and long-term economic viability.
The Disaster Recovery feature adds a critical layer of control, providing a supported path for safeguarding analytical data and restoring operations across infrastructure boundaries while preserving the deployment flexibility and sovereignty that enterprises value in EDB PG AI.
Disaster Recovery for WarehousePG is now generally available on EDB Postgres AI. For further details, visit www.enterprisedb.com/products/warehousepg and explore the announcement blog.
