EDB POSTGRES AI · WAREHOUSE ANALYTICS
Analytics without limits. Infrastructure without surprises.
EDB empowers the architects of the modern enterprise
Your data warehouse strategy is trapped between cost and performance.
Cloud data warehouses lock you into opaque billing models and proprietary formats. Legacy warehouses consume engineering time and drain budgets. You need an analytics foundation that scales performance without punishing growth. Your teams are caught between the cloud-only vendors and aging infrastructure that requires constant tuning and re-architecture.
Legacy warehouse environments average 60% unplanned downtime per year, while cloud platforms can impose credit burn that exceeds on-premises infrastructure costs by 300% at scale.
How WarehousePG delivers petabyte-scale analytics.
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1 — DEPLOY
Provision an MPP warehouse anywhere
On-premises, public cloud, or sovereign datacenter. Use the same architecture and management layer regardless of deployment. Pay per core—predictable, scalable, no credit shocks.
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2 — ANALYZE
High-concurrency BI and agentic analytics
On structured, semi-structured, and unstructured data with standard SQL. Massively parallel query execution distributes workloads across independent compute segments.
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3 — EXTEND
PGAA, Flow Server, vector search, and more
Connect lakehouse data with native support for Apache Iceberg and Delta Lake via PGAA. Stream live events with Flow Server. Deploy in-database ML models and vector search without ETL data movement.
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4 — MANAGE
Unified observability
WarehousePG Enterprise Manager (WEM) provides unified observability across distributed clusters through 12 integrated dashboards with less than 1% CPU overhead. Integrated HA and disaster recovery eliminate third-party add-ons.
See WarehousePG in action.
Watch a five-minute walkthrough of EDB Postgres® AI for WarehousePG handling petabyte-scale analytical workloads and WEM monitoring distributed clusters in real time.
Proof in production
lower TCO
better concurrency performance
migration time per Greenplum® cluster
WEM monitoring CPU overhead
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.
Key capabilities
Where WarehousePG lives in the platform.
WarehousePG operates at the analytical workloads and data layers of EDB Postgres AI, with governance, security, and data integration services managing the pipeline from ingestion to insight.
Deploy your analytics anywhere.
WarehousePG runs on-premises, in public clouds, sovereign datacenters, and NVIDIA GPU infrastructure. Same architecture. Same per-core pricing. Same WEM management layer. No re-architecture. No lock-in.
Resources
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TECHNICAL BRIEF
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SOLUTION BRIEF
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Related Capabilities
Converged Analytics
Pair WarehousePG's petabyte-scale depth with EDB Postgres AI for ClickHouse for real-time analytics—both reading from the same zero-ETL Iceberg foundation, covering the full analytics spectrum from milliseconds to petabyte history.
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Related Capabilities
Agent Factory
Complement WarehousePG analytics with agentic AI workflows. Run semantic search and retrieval-augmented generation (RAG) on your analytical data without moving data outside the warehouse.
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Related Capabilities
Hybrid Manager
Manage WarehousePG clusters alongside your broader EDB Postgres infrastructure. Single console for database monitoring, patching, and lifecycle management across analytical and transactional workloads.
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Related Capabilities
Agentic Database
Combine warehouse analytics with autonomous database optimization. Autopilot Mode auto-tunes cluster configuration and indexes while WEM monitors resource utilization.
Ready to deploy sovereign analytics?
Talk with our team about how to configure WarehousePG for your use case—cloud repatriation, high-concurrency BI, lakehouse analytics, or legacy modernization. We will size capacity and discuss deployment options tailored to your infrastructure.
Greenplum® is a registered trademark of Broadcom Inc. EDB and EDB Postgres AI are not affiliated with, endorsed by, or sponsored by Broadcom Inc. Any references to Greenplum are for comparative, educational, and interoperability purposes only.
ClickHouse is a trademark of ClickHouse, Inc. https://clickhouse.com.
Frequently asked questions
EDB PG AI for WarehousePG is a sovereign, Postgres-based analytical database. It delivers petabyte-scale performance through a massively parallel processing (MPP) architecture, letting teams run complex analytical workloads—from business intelligence to in-database machine learning—using standard SQL across structured, semi-structured, and unstructured data. WarehousePG Enterprise Manager (WEM) provides centralized observability and management across distributed clusters. Customers deploy on-premises, in private or public clouds, or in sovereign datacenters, with per-core pricing that eliminates variable credit burn and no vendor lock-in.
Yes. WarehousePG is binary-compatible with Greenplum, sharing the same MPP architecture, catalog structure, and distribution semantics—so your DISTRIBUTED BY keys, resource queues, external tables, and Greenplum extensions carry over without rewriting. Migrations complete in under two hours per cluster with zero data movement, no schema rewrites, and no retraining required. EDB provides direct migration support throughout the transition.
Yes. WarehousePG supports in-database machine learning, letting you run ML workloads directly against analytical data without ETL or moving data to a separate system. It integrates with popular ML libraries and frameworks—including MADlib, scikit-learn, and TensorFlow—so data scientists can train and score models inside the database using familiar tools. Streaming ingestion and AI-driven analytics are also supported natively.
Sovereign analytics eliminates the cost and control trade-off. EDB PG AI for WarehousePG delivers up to 52% greater concurrency performance vs. leading cloud warehouses and up to 58% lower TCO compared to Snowflake, Databricks, and Redshift—while maintaining predictable per-core pricing with no credit burn shock. Deploy anywhere—on-premises, sovereign datacenters, or public clouds—with the same architecture and no vendor lock-in.
EDB PG AI for WarehousePG and EDB PG AI for ClickHouse are complementary execution engines on a shared Iceberg foundation. WarehousePG handles deep batch analytics, complex SQL, and petabyte-scale historical workloads. EDB Postgres AI for ClickHouse® handles millisecond-latency real-time queries—application logs, fraud scoring, live dashboards, and time-series monitoring. Both read from the same governed Iceberg catalog that PGAA keeps current, so there is no ETL overhead, no data duplication, and no inconsistency between real-time and historical layers.