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What is Oracle Database?

Oracle offers a range of database solutions designed to be both cost-effective and highly efficient, featuring prominent options such as a multi-model database management system, in-memory databases, NoSQL, and MySQL. The Oracle Autonomous Database enhances the user experience by enabling streamlined management of relational database systems, accessible both on-premises via Oracle Cloud@Customer and through Oracle Cloud Infrastructure, thereby reducing administrative burdens. By simplifying the complexities involved in operating and securing Oracle Database, the Autonomous Database provides users with outstanding performance, scalability, and reliability. For organizations focused on data residency and minimizing network latency, the option for on-premises deployment of Oracle Database is available. Moreover, clients using specific versions of Oracle databases retain complete control over their operational versions, as well as the timing of updates. This level of flexibility not only empowers businesses to customize their database environments but also ensures they can adapt to evolving requirements seamlessly. Ultimately, Oracle's diverse database offerings are tailored to meet the varied needs of clients across different sectors.

What is Oracle Data Access Components (ODAC)?

Oracle Data Access Components (ODAC) represent a comprehensive suite of tools and drivers tailored for Windows and .NET ecosystems. This collection not only streamlines access to data within .NET but also incorporates Microsoft Visual Studio tools, enabling the development of applications that connect with Oracle databases, including support for ASP.NET providers. ODAC provides extensive client support and optimizes advanced capabilities of Oracle databases, enhancing performance, ensuring high availability, and implementing stringent security protocols. Furthermore, it integrates smoothly with Visual Studio, creating an efficient and cohesive development experience for programmers. The Oracle Data Provider for .NET complies with Microsoft’s ADO.NET interface, allowing for easy access to Oracle databases. Additionally, the OLAP Data Manipulation Language (OLAP DML) empowers users to effectively define and manage objects in analytic workspaces. With a commitment to high performance, ODAC delivers a rich array of data access mechanisms via Microsoft ADO and OLE DB, as well as crucial information on installation, configuration after installation, and operational guidelines to help users maximize its capabilities. Overall, ODAC stands out as a robust solution for developers engaged in Oracle database projects within the .NET framework, making it an indispensable tool in their toolkit. This versatility makes it suitable for a wide range of applications, from simple data retrieval to complex enterprise-level solutions.

Media

Media

Integrations Supported

42
Advanced ETL Processor
Control-M
DQOps
DataGrip
ER/Studio Data Architect
FICO Xpress Optimization
ILLA Cloud
Meltano
Open Automation Software
OpenText Gupta Team Developer
Oracle AI Vector Search
Oracle Big Data Preparation
Oracle Database Backup Cloud Service
Oracle Generative AI Service
Predator MDC
Querona
Scriptcase
StackAI
ToolJet

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Free
Free Version

Supported Platforms

SaaS
On-Prem

Supported Platforms

SaaS
Windows
Linux

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Oracle

Date Founded

1977

Company Location

United States

Company Website

www.oracle.com/database/

Company Facts

Organization Name

Oracle

Company Location

United States

Company Website

docs.oracle.com/en/database/oracle/oracle-data-access-components/

Categories and Features

Database

Backup and Recovery
Creation / Development
Data Migration
Data Replication
Data Search
Data Security
Database Conversion
Mobile Access
Monitoring
NOSQL
Performance Analysis
Queries
Relational Interface
Virtualization

Document Databases

Not specified

In-Memory Databases

Not specified

Key-Value Databases

Not specified

NoSQL Database

Auto-sharding
Automatic Database Replication
Data Model Flexibility
Deployment Flexibility
Dynamic Schemas
Integrated Caching
Multi-Model
Performance Management
Security Management

Relational Database

ACID Compliance
Data Failure Recovery
Multi-Platform
Referential Integrity
SQL DDL Support
SQL DML Support
System Catalog
Unicode Support

SQL Databases

Not specified

Categories and Features

Component Libraries

Not specified

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