Oracle has unveiled its third quarterly update for Oracle Graph 2025, introducing powerful new features such as Neo4j data import, enhanced cloud support, and advanced query capabilities that redefine graph analytics and development.
Oracle has released its third quarterly update for Oracle Graph 2025, bringing a series of enhancements to its SQL property graph capabilities and associated tools that underline its commitment to advancing graph database technology. A standout feature in this update is the new ability to import data from Neo4j graphs into Oracle’s SQL property graph environment, facilitated through a PL/SQL package downloadable via My Oracle Support. This enhancement broadens interoperability and simplifies the migration of graph data for users working across different graph database systems.
The Oracle Database 23ai, Release Update 23.9 now offers extensive SQL support for property graphs, accessible not only on Oracle Cloud Infrastructure (OCI) but also through Oracle Database services on Azure, Google Cloud, and in preview mode on AWS. This widespread availability empowers users to create and query native graph objects in Oracle Database using any SQL-based tool, enhancing flexibility and broad cloud platform integration.
Significant improvements have been made to the ‘ONE ROW PER VERTEX/STEP’ syntax, which now supports an optional path variable declaration, enabling more precise query definitions and iterations over specific paths in a graph. For instance, users can declare multiple path patterns and specify iteration over selected paths, supported by a new PATH_NAME() function that identifies the current path during iteration. These enhancements streamline complex query operations and provide finer control over graph traversal.
New predicates, namely IS LABELED and PROPERTY_EXISTS, have been introduced to improve expressiveness in graph queries. The IS LABELED predicate allows checks for vertex labelling at the metadata level, while PROPERTY_EXISTS focuses on the presence of properties, distinguishing it from traditional null checks on property values. These predicates extend users’ ability to write more nuanced and semantically rich graph queries.
Updates to graph visualization tools include the debut of a Graph Visualization Extension for Visual Studio Code, allowing developers to visualize SQL property graph results directly within their coding environment without the need for external tools. This extension requires Oracle’s SQL Developer extension for VS Code, facilitating a more integrated development experience.
The Graph Visualization Toolkit and its dependent tools, such as Graph Studio, APEX plugins, and dashboards, have replaced pagination with a dynamic display size slider, enabling users to view larger portions of graphs seamlessly and reducing the risk of missing connections due to paginated views. Additionally, schema visualization features now provide comprehensive displays of graph nodes, labels, and relationships, aiding in query formulation with clearer schema insights.
Operational enhancements include the ability to unload graphs from memory directly through the Graph Visualization Dashboard, eliminating previous dependencies on supplementary Java or Python APIs, thus simplifying graph memory management. The introduction of a “table result only” run button offers users a quick way to evaluate query outcomes without rendering visualizations, which is particularly beneficial for debugging complex or long-running queries.
Finally, the infographic components of graph legends have been upgraded with a “pin” feature for captions and the ability to edit visualization styles directly from the legend, enhancing usability and customization for graph presentations.
These updates reflect Oracle’s continued investment in evolving the graph database ecosystem, facilitating both ease of use and advanced functionality for data scientists, developers, and enterprises. Earlier 2025 updates had introduced foundational SQL/PGQ standard support in Oracle Database 23ai, along with tools to enhance query flexibility and integration with cloud services. Oracle’s unified approach to property graph support across diverse cloud platforms and its commitment to interoperability with industry staples like Neo4j positions it strongly in the graph analytics market.
📌 Reference Map:
- [1], [2] (Oracle Database Blog) – Paragraphs 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
- [3], [4], [5], [6], [7] (Oracle Database Blog) – Paragraphs 2, 7
Source: Noah Wire Services
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Freshness check
Score:
10
Notes:
The narrative is fresh, published on September 25, 2025, with no evidence of prior publication or recycling. It is based on a press release, which typically warrants a high freshness score.
Quotes check
Score:
10
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No direct quotes are present in the narrative, indicating original content.
Source reliability
Score:
10
Notes:
The narrative originates from Oracle’s official blog, a reputable source.
Plausability check
Score:
10
Notes:
The claims are plausible and align with Oracle’s known product development trajectory.
Overall assessment
Verdict (FAIL, OPEN, PASS): PASS
Confidence (LOW, MEDIUM, HIGH): HIGH
Summary:
The narrative is fresh, original, and originates from a reputable source, with claims that are plausible and align with Oracle’s known product development trajectory.
