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Fujitsu Enterprise Postgres 18 - Enterprise AI without compromise

Marcos Figueiredo | January 6, 2026

As AI technology rapidly evolves, its adoption in enterprise applications continues to grow. Databases originally designed to efficiently store and process vast amounts of data are evolving to meet the new demands of AI-based applications. Leveraging their strength in high availability, reliability and security, databases are increasingly adding new features to ensure a robust data infrastructure for AI applications and collaborations.

Discover Fujitsu Enterprise Postgres 18 enhanced AI capabilities and multi-master replication for enterprise-level data management and high availability.

Fujitsu Enterprise Postgres is built on open‑source PostgreSQL and enhanced features that strengthen security, reliability, and performance for enterprise‑grade applications. These advanced capabilities are designed to meet evolving market demands and enable organizations to leverage their data at a higher, more strategic level.

Relational databases are no longer simple data repositories. They are becoming foundational enterprise data platforms that support AI workloads, cross‑organizational collaboration, and the creation of new business value.

What Fujitsu Enterprise Postgres has to offer

Fujitsu Enterprise Postgres has a long tradition of extending PostgreSQL’s already impressive feature set with enterprise‑class innovations in security, performance, and reliability. That commitment continues with Fujitsu Enterprise Postgres 18, which delivers significant advancements in both AI enablement and high availability.

Fujitsu Enterprise Postgres 18 enhances Knowledge Data Management, enabling more efficient development of conventional AI applications, and also introduces Multi‑Master Replication to further reinforce mission‑critical resilience. Together, these capabilities strengthen the platform’s role as a robust, future‑ready data foundation for organizations seeking to maximize the value of their PostgreSQL‑based environments.

	Fujitsu Enterprise Postgres           unique feature	PostgreSQL   extension
AI	In-database inference Generative AI for enterprise RAG application development Hybrid search Knowledge Data Management	pgvector pgvectorscale pgai
Reliability	Multi-master replication Connection Manager Mirroring Controller WAL duplication High-Speed Backup/Recovery	Pgpool-II pgactive
Security	Transparent Data Encryption Data Masking Dedicated Audit Log Confidentiality management Policy-based login security Cloud-based key management	ldap2pg
Operability	Global Meta Cache High-Speed Backup/Recovery Operator WebAdmin	pgvector PostGIS pgBadger pgAdmin4 pgBackRest pg_repack
Performance	Vertical Clustered Index High-speed Data load Parallel scan Scale out	pg_dbms_stats pg_hint_plan pg_bigm
DevOps	3rd-party database conversion syntax NCHAR ECOBPG	orafce

In-database inference boosts the Knowledge Data Management function

Fujitsu Enterprise Postgres includes a Knowledge Data Management function that extends traditional knowledge data search capabilities by enabling three complementary search methods.

In addition to access to relation data, it supports text semantic search to retrieve information based on meaning rather than exact keywords, vector similarity search to find semantically related content, and graph search to explore relationships and connections within knowledge data. Together, these methods allow more flexible, accurate, and context-aware discovery of knowledge data, crucial for AI workloads

Relation data

Accessed via SELECT queries

Text data

Accessed via full-text searches

Vector data

Semantic text and vector similarity searches

Graph data

Accessed via graph searches

Fujitsu Enterprise Postgres 18 introduces a new feature for Knowledge Data Management. In addition to supporting the execution of embedding models from Ollama and OpenAI (a capability available since version 17 SP1) for the vectorization of text data, it now adds support for executing ONNX (Open Neural Network eXchange)–format embedding models via the Triton Inference Server.

It is now possible to import ONNX-format embedding models directly into the database, enabling in-database vectorization of text data stored in tables. The system provides a comprehensive set of functions and procedures to administer and monitor the vectorization process directly from within the database using psql commands.

These built-in functions enhance support for the development and deployment of Retrieval-Augmented Generation (RAG) applications.

Multi-Master Replication enhances support for mission-critical applications

In today's world, with the advance of business globalization and digital transformation, system downtime directly translates to a loss of business opportunities. No matter how good a service is, it's not good enough if data is unavailable. The importance of keeping data constantly available without system interruption is increasing. One technology that addresses this requirement is Multi-Master Replication.

What is Multi-Master Replication?

Multi-master replication is a mechanism where multiple database servers (nodes) all act as masters and mutually synchronize data in real-time. This allows data to be read from and written to any node, ensuring that each node always holds the latest data.

In a typical single-master configuration, there's a risk of the entire system stopping if the master goes down. However, with a multi-master configuration, even if one master node is affected by a disaster, business can continue with other active master nodes. This minimizes business interruption during a disaster and dramatically improves availability.

Fujitsu Enterprise Postgres Multi-Master Replication

Enterprise Postgres's multi-master replication delivers enterprise-level data management and high availability.

• Data synchronization via bidirectional replication

  Data is constantly synchronized between regions through bidirectional replication, ensuring every node holds the latest data. No complex setup or special tools are required.

• High Availability through database duplication

  Within each region, high availability is ensured by database duplication (primary/standby configuration). This allows for the construction of systems capable of responding to a wide range of issues, from widespread disasters to localized failures.

• Business continuity even during disasters

  By having each region mutually possess data, business can continue by switching to an active region even when a disaster occurs. This minimizes overall system downtime.

• Rapid recovery with delta reflection only

  During recovery, only delta changes need to be reflected, eliminating the need for long waits for resynchronization (full copy). This enables rapid recovery.

• Effective resource utilization

  Since all nodes are operational, there's no need for a dedicated standby region for disaster recovery, maximizing resource utilization.

• Replication settings

  We provide a unique function to specify tables to include and exclude from replication. This achieves a more stable replication environment and seamless integration with the functions provided by Enterprise Postgres.

Why choose Fujitsu Enterprise Postgres 18?

Fujitsu Enterprise Postgres 18 continues to provide highly secure, reliable and available enterprise data infrastructure with enhanced AI capabilities. Enterprises looking to accelerate their Digital Transformation (DX), utilizing AI in their applications for delivering critical enterprise functions with flexibility can look forward to using the latest release.

Stay ahead of the curve and experience the future of mission-critical operations on Postgres with Fujitsu.

Take it for a spin and see for yourself

You can try Fujitsu Enterprise Postgres with a fully-featured trial version valid for 90 days to experience a frictionless hybrid cloud that can help you modernize to respond faster to business demands.

Fujitsu Enterprise Postgres 18 elevates your AI strategy with uncompromising enterprise security and reliability.

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Fujitsu Enterprise Postgres
is an enhanced distribution of PostgreSQL, 100% compatible and with extended features.

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