Posts

What Is OCI Data & AI Category

Hello everyone, After covering a brief introduction of OCI in  What Is Oracle Cloud Infrastructure , we mentioned the data & AI category which is the subject for this blog post. The data and AI category is 3 sub-categories: Big Data: The big data sub-category cover Big Data service, Data Flow service, Data Integration service, Data Catalog service and one of the most useful service which is Golden Gate. AI Services: The AI services sub-category cover Data Science service, Vision service, Language service, Speech service and Document Understanding service. Generative AI: The generative AI sub-category cover Generative AI service, Generative AI Agents and Code Assist. I hope you found this blog post useful and don't forget to check other categories for more information about OCI services.

What Is OCI Databases Category

Hello everyone, After covering a brief introduction of OCI in  What Is Oracle Cloud Infrastructure , we mentioned the databases category which is the subject for this blog post. The database category is split into two main sub-categories: Oracle Databases: The oracle database sub-category cover ATP, ADW, AJD, DBCS VM/BM, dedicated, Exadata and Exadata Cloud@Customer. Distributed & OSS Databases: The distributed and object service storage database sub-category cover HeatWave MySQL, Cache, PostgreSQL and OpenSearch. I hope you like this short article and I highly recommend checking blog posts where we expand other OCI categories.  In the future, we're going to talk a lot about OCI database services, describing and highlighting the benefit and advantages of each database service. 

What Is OCI Core Infrastructure Category

Hello everyone, After covering a brief introduction of OCI in What Is Oracle Cloud Infrastructure , we mentioned the core infrastructure category which is the subject for this blog post.  The core infrastructure category is broken down into 5 core primitives sub-categories: Compute: The compute services cover Bare Metal, VM, CPUs, GPUs and HPC. Containers: The container services cover Containers, Managed Kubernetes Services, Service Mesh and Registry. OS and VMware: The OS and VMware services cover Autonomous Linux, OS Management service and Marketplace. Storage: The storage services cover NVMe, Block, File, Storage, Archive and Data Transfer. Networking: The networking services cover VCN, Load Balancer, Service Gateway, VPN and Cluster Networking. I hope this overview of the core infrastructure was helpful, if you're looking for the rest of the category please check other blog posts.

What is Oracle Siebel CRM

Hello everyone, Today, we're going to talk about Oracle Siebel CRM . Oracle Siebel CRM is an enterprise‑grade, highly customizable CRM platform that supports extreme scale, on‑premises or on Oracle Cloud Infrastructure (OCI) deployments; making it suitable for large, regulated organizations; Oracle continues to evolve Siebel with monthly updates and AI enhancements.  Definition of Oracle Siebel CRM Oracle Siebel CRM is a comprehensive customer relationship management suite designed for large enterprises that require deep industry functionality, extensive customization, and robust integration capabilities. Siebel combines transactional, analytical, and engagement features to manage sales, service, marketing, loyalty, and industry‑specific processes. It can be deployed on‑premises or on Oracle Cloud Infrastructure (OCI) to meet data residency, performance, and compliance needs.  Key Features and Capabilities Enterprise scalability and performance: Built to support very large use...

What Is Model Context Protocol (MCP)

Hello everyone, Today, we're going to talk about Model Context Protocol. Model Context Protocol (MCP) is an open standard that lets large language models and AI agents securely and reliably access external tools, data sources, and services so they can perform multistep, context‑rich tasks; Oracle documents MCP as a standards‑based bridge that enables production‑grade AI integrations for enterprises. Definition of Model Context Protocol Model Context Protocol (MCP) is an open, standards‑based protocol designed to connect large language models (LLMs) and agentic AI systems to external systems, databases, APIs, tools, and workflows, so the model can request, receive, and act on contextual data beyond its internal parameters. MCP formalizes how models ask for context, how services provide it, and how responses are validated, enabling AI applications to move from single‑turn text replies to reliable, multistep task execution.  Key Features and Capabilities Standardized context exchange:...

FAQ about Fusabase

Many are asking what is Fusabase? Simple answer Fusabase is an Oracle backend with Firebase API. This service considered as Backend-as-a-Service which allow developer to build mobile and web applications very fast connecting the front-end with the Oracle AI Database. So for developer may think how can we use Fusabase? Simple answer is by using first-party SDK (Software Development Kit), because Oracle have built their own SDK developed and maintained by Oracle to allow easy usage of Fusabase. Meaning if you're using a JavaScript Framework, then you need to use Fusabase JavaScript SDK to connect your front-end application with the Oracle AI Database. Note that many SDK are available not only JavaScript SDK, but iOS SDK, Android SDK, Flutter SDK. What about Oracle Rest Data Services (ORDS), can I still use it? Simple answer is yes, the Fusabase is an extra layer on top of the Oracle AI Database and Oracle Rest Data Services (ORDS). Does Fusabase SDK are easy to use? Th...

Introducing Fusabase an Oracle Backend with Firebase APIs: Build Mobile and Web Apps on Oracle AI Database

 In the rapidly evolving world of mobile and web application development, developers often face a trade‑off between ease of use and enterprise‑grade capabilities. Fusabase, Oracle’s backend service for Firebase, eliminates that compromise by combining the familiar Firebase development experience with the robustness, scalability, and intelligence of the Oracle Autonomous Database. This integration allows developers to keep using Firebase’s intuitive APIs, real‑time data synchronization, and authentication features while seamlessly storing and managing data in Oracle’s AI‑powered database infrastructure. The result is a platform that not only accelerates development but also ensures enterprise‑level performance, security, and analytics capabilities without forcing teams to learn entirely new backend systems. At its core, Fusabase acts as a bridge between Firebase’s client SDKs and Oracle’s Autonomous Database, enabling applications to interact with Oracle’s backend as if they were co...