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What is Oracle SQL Developer?

Oracle SQL Developer serves as a dynamic and user-friendly development environment that simplifies the tasks of both developing and overseeing Oracle Database, applicable in both conventional environments and cloud-based solutions. It encompasses extensive features that support the entire PL/SQL application development lifecycle, including a worksheet for running queries and scripts, along with a DBA console that aids in efficient database administration. Furthermore, the tool provides a reporting interface, a robust data modeling solution, and a means to migrate third-party databases into Oracle. Users are empowered to execute SQL commands, manage user accounts, create or modify database objects, import data into tables, troubleshoot performance issues, visualize database schemas, and much more. This comprehensive tool integrates the functionalities of a powerful desktop application right within a web browser. In addition, with the support of Oracle REST Data Services, users can easily connect to their on-premises database instances, and the platform also streamlines the transition from Oracle On-Premises to Oracle Cloud, enhancing the interaction and management of database content. By facilitating database development and management at any time and from nearly any location, this tool significantly boosts overall productivity for users. Its accessibility and functionality make it an essential resource for database professionals.

What is Oracle Data Miner?

Oracle Data Miner enables data scientists, "citizen data scientists," and both business and data analysts to engage with data directly within the database using a user-friendly graphical interface that features a "drag and drop" workflow editor. As an enhancement to Oracle SQL Developer, Oracle Data Miner (ODMr) adeptly captures and visually presents the analytical steps that users undertake while exploring data and developing machine learning models. The workflows established using ODMr are crucial for not only reapplying analytical techniques but also for fostering knowledge exchange among team members. Additionally, ODMr generates SQL and PL/SQL scripts seamlessly and offers a workflow API that aids in the efficient deployment of models throughout the organization. This capability significantly reduces data movement, ensures scalability for large datasets, upholds security, and accelerates the transition from model creation to implementation. By adopting this advanced methodology, organizations can better leverage their data resources, ultimately resulting in smarter decision-making and enhanced business performance. Furthermore, this systematic approach helps to create a culture of data-driven insights that can transform strategic initiatives.

Media

Media

Integrations Supported

.NET
AIHelperBot
BigID
C
C++
COBOL
Convertigo
Decube
Devart ODBC Drivers
Java
Kiuwan Code Security
Microsoft Excel
Oracle Cloud Infrastructure
Oracle Database
Oracle SQL Developer Data Modeler
Qualis DMS
SEA Manager
SQL
SQLthroughAI
Visual Basic

Integrations Supported

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

Windows
Mac
On-Prem
Linux

Supported Platforms

SaaS

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub

Company Facts

Organization Name

Oracle

Date Founded

1977

Company Location

United States

Company Website

www.oracle.com/database/technologies/appdev/sqldeveloper-landing.html

Company Facts

Organization Name

Oracle

Date Founded

1977

Company Location

United States

Company Website

www.oracle.com/database/technologies/datawarehouse-bigdata/dataminer.html

Categories and Features

Database

Not specified

Database Clients

Not specified

IDE

Not specified

SQL Editors

Not specified

SQL IDEs

Not specified

Categories and Features

Data Mining

Fraud Detection
Predictive Modeling
Statistical Analysis

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