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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 Google Cloud Migrate for Compute Engine?

Cloud migration involves a multitude of questions and challenges. Google Cloud's Migrate for Compute Engine effectively addresses these issues. Whether you plan to move a single application from on-premises servers or thousands of robust applications from multiple data centers, Migrate for Compute Engine equips IT teams of all sizes with the capability to transition their workloads to Google Cloud effortlessly. Its user-friendly “as a service” interface within the Cloud Console, coupled with flexible migration options, makes the entire process easier, allowing users to significantly diminish the time and resources typically required for migrations. Gone are the days of complex setups, convoluted configurations, and the hassle of client-side migration tools. By selecting the right migration strategy, your team can concentrate on what truly matters: the effective relocation of workloads to the cloud. In conclusion, this tool not only simplifies the migration journey but also boosts productivity and efficiency for IT professionals, paving the way for a smoother transition to cloud services.

Media

Media

Integrations Supported

Google Cloud Platform
Google Compute Engine

Integrations Supported

Google Cloud Platform
Google Compute Engine

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
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

Google

Date Founded

1998

Company Location

United States

Company Website

cloud.google.com/migrate/compute-engine

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

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