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What is dataZap?

Data cleansing, migration, integration, and reconciliation can occur smoothly across both cloud environments and on-premise systems. Operating within OCI, it ensures secure connectivity to Oracle Enterprise Applications regardless of their hosting location, whether in the cloud or on-premises. This cohesive platform streamlines processes related to data and setup migrations, integrations, reconciliations, big data ingestion, and archival management. With an impressive collection of over 9,000 pre-built API templates and web services, it enhances functionality significantly. The data quality engine is equipped with pre-configured business rules that efficiently profile, clean, enrich, and rectify data, upholding high standards throughout. Designed with agility in mind, it supports both low-code and no-code environments, enabling immediate deployment within a fully cloud-enabled framework. Tailored specifically to facilitate data transfers into Oracle Cloud Applications, Oracle E-Business Suite, Oracle JD Edwards, Microsoft Dynamics, Oracle Peoplesoft, and many other enterprise applications, it also accommodates a diverse array of legacy systems. The platform features a robust and scalable architecture paired with an intuitive interface, while over 3,000 Smart Data Adapters are available, offering extensive support for various Oracle Applications, which significantly enhances the overall migration experience. Furthermore, this comprehensive solution is ideal for organizations looking to modernize their data processes while ensuring minimal disruption and maximum efficiency.

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

Oracle Cloud Infrastructure

Integrations Supported

Oracle Cloud Infrastructure

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

ChainSys

Date Founded

1998

Company Location

United States

Company Website

www.chainsys.com

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

Data Management

Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge

ETL

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

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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