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This article details a new feature in Oracle's AuraDB that allows multiple independent databases, including graph workloads, to run within a single managed instance while sharing compute resources. The primary focus is on operational efficiency and cost reduction for enterprise AI and graph applications by eliminating the need to provision separate instances for every tenant or workload. This consolidation directly addresses scalability challenges as teams expand from initial AI pilots to managing complex fleets of agentic applications.
Sources coveringNeo4j, Slack Blog, Proton Blog, ZDNet
What this isA model's reading of the article and related coverage, written for aiqbench. Not the publisher's words.

Multiple databases now generally available in AuraDB

Neo4j4 min read

Multiple databases are now generally available in AuraDB Business Critical and Virtual Dedicated Cloud, letting teams run independent graph databases within a single managed AuraDB instance.

Multiple databases are now generally available in AuraDB Business Critical and Virtual Dedicated Cloud. You can run multiple independent databases within a single AuraDB instance, sharing its resources while maintaining full data separation between them. That gives teams a simpler way to consolidate workloads while keeping databases separate and independently managed. Enterprise graph workloads rarely stop at one database. Every graph project outgrows its first instance. The first graph application grows to five, each needing dev, staging, and QA environments, and…

Excerpt shown under the publisher's RSS terms · 81 words · full text and figures are on the publisher's site

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