Validated architectures for enterprise AI workloads.
Three validated blueprints. Fifteen ecosystem partners. One open platform—in any environment you control.
Three architectures. Every enterprise AI workload.
Real-time ML inference at the data layer
Sub-second inference embedded in streaming data pipelines, eliminating external ML platform latency and governance gaps.
6 validated partners
Unified search, analytics, and agentic reasoning
Vector, full-text, and SQL queries unified in a single platform—with agentic reasoning grounded in governed Postgres data.
6 validated partners
Sovereign data lakehouse and regulatory analytics
Open Iceberg-native lakehouse with no vendor lock-in, purpose-built for regulatory-grade analytics across BFSI, healthcare, and telco.
9 validated partners
15 validated integration partners.
Each partner has a validated integration with EDB Postgres AI and appears in one or more validated blueprints. Use the filter above to explore by category or blueprint.
Airflow (Astronomer)
Apache Iceberg
dbt
Fivetran
Grafana
Jupyter
Kafka / Redpanda
KServe + NVIDIA NIM
Lakekeeper (Vakamo)
Langflow
Metabase
MinIO
MLflow
RisingWave
Tableau
EDB Postgres AI Blueprint: Core Banking
EDB Vice President of Practice Solutions Pranish Kumar demonstrates the EDB Postgres AI blueprint for banking using our Core Banking simulator.
Ready to build on a validated stack?
Explore the architecture documentation or talk directly with a solutions engineer about deploying a blueprint in your environment.