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What is Data Flow Manager?

Data Flow Manager offers an extensive user interface that streamlines the deployment of data flows within Apache NiFi clusters. This user-friendly tool enhances the efficiency of data flow management, minimizing errors and saving valuable time in the process. With its sophisticated features, including the ability to schedule deployments during non-business hours and a built-in admin approval mechanism, it guarantees smooth operations with minimal intervention. Tailored for NiFi administrators, developers, and similar roles, Data Flow Manager also includes comprehensive audit logging, user management capabilities, role-based access control, and effective error tracking. Overall, it represents a powerful solution for anyone involved in managing data flows within the NiFi environment.

What is AWS ParallelCluster?

AWS ParallelCluster is a free and open-source utility that simplifies the management of clusters, facilitating the setup and supervision of High-Performance Computing (HPC) clusters within the AWS ecosystem. This tool automates the installation of essential elements such as compute nodes, shared filesystems, and job schedulers, while supporting a variety of instance types and job submission queues. Users can interact with ParallelCluster through several interfaces, including a graphical user interface, command-line interface, or API, enabling flexible configuration and administration of clusters. Moreover, it integrates effortlessly with job schedulers like AWS Batch and Slurm, allowing for a smooth transition of existing HPC workloads to the cloud with minimal adjustments required. Since there are no additional costs for the tool itself, users are charged solely for the AWS resources consumed by their applications. AWS ParallelCluster not only allows users to model, provision, and dynamically manage the resources needed for their applications using a simple text file, but it also enhances automation and security. This adaptability streamlines operations and improves resource allocation, making it an essential tool for researchers and organizations aiming to utilize cloud computing for their HPC requirements. Furthermore, the ease of use and powerful features make AWS ParallelCluster an attractive option for those looking to optimize their high-performance computing workflows.

Media

Media

Integrations Supported

AWS Batch
AWS Elastic Fabric Adapter (EFA)
AWS HPC
AWS Lambda
AWS Parallel Computing Service
Amazon API Gateway
Amazon Web Services (AWS)
Apache NiFi
GitHub
Python
Slurm

Integrations Supported

AWS Batch
AWS Elastic Fabric Adapter (EFA)
AWS HPC
AWS Lambda
AWS Parallel Computing Service
Amazon API Gateway
Amazon Web Services (AWS)
Apache NiFi
GitHub
Python
Slurm

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

Ksolves

Date Founded

2012

Company Location

India

Company Website

www.dfmanager.com

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/hpc/parallelcluster/

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

Categories and Features

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