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What is Network Service Mesh?

A standard flat vL3 domain permits databases functioning across multiple clusters, clouds, or hybrid setups to interact effortlessly for database replication purposes. Workloads belonging to various organizations can connect to a shared 'collaborative' Service Mesh, which enhances interactions between different companies. Each workload is confined to a specific connectivity domain, ensuring that only workloads within the same runtime domain can engage in that connectivity. Thus, Connectivity Domains are deeply intertwined with Runtime Domains. Nonetheless, a core tenet of Cloud Native architectures is to embrace Loose Coupling, which grants each workload the adaptability to obtain services from various providers as required. The particular Runtime Domain of a workload has no bearing on its communication necessities, signifying that workloads associated with the same application must maintain connectivity regardless of their geographical locations. This highlights the crucial role of inter-workload communication in maintaining operational efficiency. Ultimately, this strategy guarantees that the performance of applications and the ability to collaborate remain stable, irrespective of the underlying infrastructure complexities. By enabling such seamless integration, organizations can enhance their operational agility and responsiveness to changing demands.

What is CloverDX?

With a user-friendly visual editor designed for developers, you can create, debug, execute, and resolve issues in data workflows and transformations. This platform allows you to orchestrate data tasks in a specific order and manage various systems using the clarity of visual workflows. It simplifies the deployment of data workloads, whether in a cloud environment or on-premises. You can provide access to data for applications, individuals, and storage all through a unified platform. Furthermore, the system enables you to oversee all your data workloads and associated processes from a single interface, ensuring that no task is insurmountable. Built on extensive experience from large-scale enterprise projects, CloverDX features an open architecture that is both adaptable and easy to use, allowing developers to conceal complexity. You can oversee the complete lifecycle of a data pipeline, encompassing design, deployment, evolution, and testing. Additionally, our dedicated customer success teams are available to assist you in accomplishing tasks efficiently. Ultimately, CloverDX empowers organizations to optimize their data operations seamlessly and effectively.

Media

Media

Integrations Supported

Amazon Web Services (AWS)
Google Kubernetes Engine (GKE)
Kubernetes
Meshery
Microsoft Azure
Tableau
Vertica

Integrations Supported

Amazon Web Services (AWS)
Google Kubernetes Engine (GKE)
Kubernetes
Meshery
Microsoft Azure
Tableau
Vertica

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

$5000.00/one-time
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

Network Service Mesh

Company Website

networkservicemesh.io

Company Facts

Organization Name

CloverDX

Date Founded

2003

Company Location

Czech Republic

Company Website

www.cloverdx.com

Categories and Features

Categories and Features

Data Lineage

Database Change Impact Analysis
Filter Lineage Links
Implicit Connection Discovery
Lineage Object Filtering
Object Lineage Tracing
Point-in-Time Visibility
User/Client/Target Connection Visibility
Visual & Text Lineage View

Data Management

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

Data Quality

Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management

Data Visualization

Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery

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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