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What is VMware HCX?

Seamlessly connect your on-premises systems with cloud technologies. VMware HCX streamlines the migration of applications and workload distribution, ensuring uninterrupted business operations across different data centers and cloud environments. It supports extensive workload transfers between any VMware platform, enabling transitions from vSphere 5.0 and later to the newest vSphere releases, whether in cloud environments or contemporary data centers. Moreover, it accommodates conversions from KVM and Hyper-V to the latest vSphere editions. The platform works effortlessly with VMware Cloud Foundation, VMware Cloud on AWS, Azure VMware Services, and other solutions. Users can take advantage of diverse migration strategies that are customized to fit their unique workload demands. Notably, the system offers the capability for live large-scale HCX vMotion migration of thousands of virtual machines, guaranteeing zero downtime and significantly reducing business disruptions. The solution features a secure proxy for both vMotion and replication traffic, complemented by a migration planning and visibility dashboard that offers critical insights. Automated migration-aware routing through NSX ensures smooth network connectivity, while WAN-optimized links make migrations possible over the Internet or WAN. With its high-throughput Layer 2 extension and sophisticated traffic management, VMware HCX greatly improves the efficiency and speed of application migrations. This comprehensive framework ultimately equips organizations with the tools they need to navigate cloud transitions confidently and effortlessly, paving the way for future innovations.

What is DataOps DataFlow?

Apache Spark offers a comprehensive component-driven platform that streamlines the automation of Data Reconciliation testing for contemporary Data Lake and Cloud Data Migration initiatives. DataOps DataFlow serves as an innovative web-based tool designed to facilitate the automation of testing for ETL projects, Data Warehouses, and Data Migrations. You can utilize DataFlow to efficiently load data from diverse sources, perform comparisons, and transfer discrepancies either into S3 or a Database. This enables users to create and execute data flows with remarkable ease. It stands out as a premier testing solution specifically tailored for Big Data Testing. Moreover, DataOps DataFlow seamlessly integrates with a wide array of both traditional and cutting-edge data sources, encompassing RDBMS, NoSQL databases, as well as cloud-based and file-based systems, ensuring versatility in data handling.

Media

Media

Integrations Supported

Amazon Redshift
Azure Synapse Analytics
Commvault Cloud
Commvault HyperScale X
Datagaps DataOps Suite
Microsoft Power BI
Snowflake
Tableau
VMware Cloud Foundation
VMware vSphere
vCloud Usage Meter

Integrations Supported

Amazon Redshift
Azure Synapse Analytics
Commvault Cloud
Commvault HyperScale X
Datagaps DataOps Suite
Microsoft Power BI
Snowflake
Tableau
VMware Cloud Foundation
VMware vSphere
vCloud Usage Meter

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Contact us
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

Broadcom

Date Founded

1991

Company Location

United States

Company Website

www.vmware.com/products/cloud-infrastructure/hcx

Company Facts

Organization Name

Datagaps

Date Founded

2010

Company Location

United States

Company Website

www.datagaps.com/dataops-dataflow/

Categories and Features

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

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