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What is Oracle Data Service Integrator?

Oracle Data Service Integrator enables organizations to quickly establish and manage federated data services, providing a seamless way to access various datasets. Built entirely on industry standards, this tool is designed to be declarative and encourages the reuse of data services. It uniquely serves as the only data federation solution that allows for the creation of bidirectional data services that support both reading and writing across multiple data sources. In addition, it features a groundbreaking capability that eliminates the need for coding, allowing users to graphically design both simple and complex adjustments to different data sources with ease. Users benefit from straightforward installation, validation, uninstallation, upgrading, and initiation processes with the Data Service Integrator. Originally known as Liquid Data and AquaLogic Data Services Platform (ALDSP), Oracle Data Service Integrator still includes some elements from these previous titles in its product architecture, installation paths, and components. This approach provides continuity for users who are accustomed to the legacy names, facilitating a smooth navigation experience within the system while enhancing overall functionality. As a result, organizations can maximize their data integration capabilities efficiently and effectively.

What is Oracle Cloud Infrastructure Data Integration?

Easily extract, transform, and load (ETL) data for analytics and data science initiatives. Build smooth, code-free data streams aimed at data lakes and data marts. This feature is part of Oracle’s comprehensive suite of integration tools. The intuitive interface facilitates simple configuration of integration settings and automates the mapping of data across various sources and destinations. Users can take advantage of pre-existing operators, such as joins, aggregates, or expressions, to adeptly manipulate their datasets. Centralized management of workflows allows the use of parameters to modify specific configuration aspects during runtime efficiently. Users have the ability to prepare their data and see transformation outcomes in real-time, which aids in validating processes. Boost your efficiency and alter data flows instantly without having to wait for execution to finish. Furthermore, this solution effectively prevents disruptions in integration flows and reduces maintenance issues as data schemas evolve over time, guaranteeing a seamless data management experience. This functionality not only streamlines the integration process but also empowers users to concentrate on deriving insights from their data without the burden of technical obstacles, ultimately enhancing decision-making.

Media

Media

Integrations Supported

Docker
Kubernetes
Oracle Cloud Infrastructure
RunMyJobs by Redwood

Integrations Supported

Docker
Kubernetes
Oracle Cloud Infrastructure
RunMyJobs by Redwood

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$0.04 per GB per hour
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

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/middleware/technologies/data-service-integrator.html

Company Facts

Organization Name

Oracle

Date Founded

1977

Company Location

United States

Company Website

www.oracle.com/integration/oracle-cloud-infrastructure-data-integration/

Categories and Features

Integration

Dashboard
ETL - Extract / Transform / Load
Metadata Management
Multiple Data Sources
Web Services

Categories and Features

Data Science

Access Control
Advanced Modeling
Audit Logs
Data Discovery
Data Ingestion
Data Preparation
Data Visualization
Model Deployment
Reports

ETL

Data Analysis
Data Filtering
Data Quality Control
Job Scheduling
Match & Merge
Metadata Management
Non-Relational Transformations
Version Control

Integration

Dashboard
ETL - Extract / Transform / Load
Metadata Management
Multiple Data Sources
Web Services

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