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Which AI Workloads and Business Use Cases Run Well on Oracle Exadata Oracle Exadata’s architecture high-speed RDMA networking, in-database vector search, embedded AI model runtimes, and smart scan offload — makes it ideal for real-world AI and RAG use cases where performance, security, and data governance matter. Here’s a set of practical business AI applications you can build and run: 1. Intelligent Enterprise Search & Knowledge Assistants Vector-based semantic search acros

Oracle has taken a major step in the evolution of enterprise databases. With the general availability of Oracle AI Database 26ai Enterprise Edition for Linux x86-64 on on-premises platforms, customers can now run the same AI-native database engine inside their own data centers that previously was available only in cloud environments. This release marks a significant milestone for organizations that want to bring AI capabilities directly to where their data lives—without compr

Oracle AI Database Private Agent Factory: Turning Enterprise Data into Secure AI Agents Enterprises want AI, but they don’t want chaos.They want control, security, data privacy, predictable cost, and real business value—not experiments running outside governance. This is where Oracle AI Database Private Agent Factory fits in. Now available on Oracle Cloud Marketplace, this platform allows organizations to build, test, and deploy AI agents directly on top of Oracle Database an

(Oracle Database services delivered on hyperscalers through Oracle partnerships) 1. Platform & Service Architecture Area Oracle Database@AWS Oracle Database@Google Cloud Hyperscaler Amazon Web Services Google Cloud Oracle Platform Oracle Exadata + Autonomous DB Oracle Exadata + Autonomous DB Deployment Model Oracle-managed Exadata colocated in AWS AZ Oracle-managed Exadata colocated in GCP Control Plane AWS Console, APIs, CLI GCP Console, APIs, CLI Service Maturity Earlier GA

1. What Is Oracle Database@Google Cloud? Area Details Service Type Managed Oracle Database service running inside Google Cloud Database Options Oracle Exadata Database Service, Oracle Autonomous Database Infrastructure Oracle Exadata on OCI, colocated with Google Cloud Management Google Cloud Console, APIs, CLI Connectivity Low-latency private interconnect between OCI & Google Cloud Billing Google Cloud Marketplace (single consolidated bill) 2. Core Features Matrix Feature Ca

Deploying Oracle Database@AWS is not just about provisioning a database or choosing the right Exadata configuration. The foundation of a reliable deployment lies in selecting the right network topology. Network architecture determines latency, security, availability, cost, and long-term scalability. Oracle Database@AWS gives cloud architects several ways to connect applications with the database layer, ranging from simple single–availability–zone deployments to multi-region a

Running enterprise databases in the cloud is no longer just about infrastructure flexibility-it’s about performance, availability, data protection, and the ability to integrate applications across multiple platforms. Oracle Database@AWS is designed to deliver all of these benefits by bringing Oracle’s most advanced database technologies directly into AWS data centers. This blog provides a clear and practical overview of how Oracle Database@AWS works, how it is architected, an

Enterprises continue to move toward digital-first strategies, and one theme has become consistent across industries: the need for high-performance, reliable, and flexible data platforms that work across multiple clouds. Organizations running Oracle databases on-premises, or in isolated cloud environments, often struggle with scalability, operational overhead, and the inability to combine Oracle’s strengths with the broader innovation ecosystem of hyperscalers. Oracle Database

Introduction The cloud database ecosystem has evolved into the backbone of digital transformation, enabling businesses to manage structured and unstructured data efficiently. With the increasing adoption of hybrid and multi-cloud architectures, organizations are seeking the right mix of scalability, agility, governance, and performance. Cloud databases provide Database-as-a-Service (DBaaS) models that eliminate traditional infrastructure management, making them ideal for busi

Introduction The database world is evolving faster than ever, and Oracle is once again at the forefront of innovation with Oracle RAC 26i – a groundbreaking release designed as an AI-native, self-optimizing database for modern enterprises. Building upon the powerful foundation of Oracle RAC 23ai, RAC 26i takes scalability, intelligence, and cloud readiness to a new level. If you are currently running RAC 23ai, 19c, or 21c, this blog will help you understand the upgrade path,

Migrating an Oracle Database from an on-premises environment to Oracle Cloud Infrastructure (OCI) is one of the most common modernization initiatives enterprises undertake today. Whether you’re looking for scalability, performance, or operational efficiency, OCI provides multiple deployment models — from Autonomous Database to Exadata Cloud Service — to match diverse workloads. This guide walks you through a step-by-step approach to planning and executing a smooth Oracle data

Oracle has announced Oracle AI Database 26ai, the next major release that embeds AI capabilities across the database core and converged data types (vector, documents, spatial, graph, analytics and transactional data). Oracle positions 26ai as the evolution of the 23ai family—bringing tighter LLM/RAG support, expanded AI-native features, cloud and on-prem availability, and tooling for fast AI app development. ( Oracle ) Feature Description Security Built-In • Row, column, and

As enterprises accelerate their Generative AI, ML, and data analytics workloads, GPUs have become the powerhouse of compute performance within modern Oracle Cloud Data Centers. However, managing GPU infrastructure at scale presents both operational and cost challenges — from underutilization to power inefficiencies. This post explores how AI-driven GPU optimization can improve performance, efficiency, and cost metrics across Oracle Cloud environments. 1. Understanding Oracle

Oracle’s Exadata Database Service on AWS integrates the power of Oracle Exadata with AWS infrastructure. To keep it running at peak efficiency and reliability, robust monitoring plays a key role. Here's a comprehensive technical guide on how to monitor this service effectively. Oracle Console / OEM provides in-depth Exadata-specific metrics like Smart Flash Cache efficiency and offload operations. Oracle Cloud Infrastructure Monitoring service AWS CloudWatch captures essentia

With the introduction of Multitenant Architecture in Oracle Database 12c and beyond, managing databases through Pluggable Databases (PDBs) has become the standard. When setting up Disaster Recovery (DR) or High Availability (HA) architectures, creating a standby database using PDB duplication is now a strategic and efficient method—especially for Data Guard environments or custom standby setups. This blog provides a comprehensive step-by-step guide to perform PDB-level duplic

In today’s multi-database enterprise environments, data migration between heterogeneous systems like Oracle and Microsoft SQL Server (MSSQL) is a common requirement. Whether for modernization, consolidation, or cloud adoption, achieving minimal downtime and real-time replication is crucial. Oracle GoldenGate stands out as a powerful, real-time data replication and migration tool supporting heterogeneous databases and architectures, including on-premises and Oracle Cloud Infra

Read my bog for strategical high-level steps - https://www.aitechblog.blog/post/migrating-large-tb-of-data-from-teradata-to-oracle-on-prem-oci-autonomous-a-step-by-step-guide 1. Prerequisites & Preparation 1.1 Check Environment & System Requirements Source:  Teradata (Linux & Windows) - 100TB Target : Oracle Database (Linux - On-Prem & OCI Autonomous) Migration Tools: Teradata Parallel Transporter (TPT) Oracle SQL*Loader (On-Prem) Oracle Data Pump (For Oracle databases) Oracl

Migrating large datasets from Teradata to Oracle requires careful planning, efficient data transfer strategies, and thorough validation to ensure data integrity. In this guide, we outline a step-by-step approach to migrating large volume TB of data with minimal downtime and maximum efficiency, covering both on-premises Oracle databases and Oracle Cloud Infrastructure (OCI) Autonomous Database. Current blog you are reading is more of strategical high-level steps, please see

Migrating an Oracle Base Database to the Oracle Exadata Database Service on ExaScale Infrastructure using Refreshable Pluggable Databases...

Introduction Zero Downtime Migration (ZDM) is a robust and automated approach to migrating databases with minimal disruption to ongoing...