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What is Nextflow?

Data-driven computational workflows can be effectively managed with Nextflow, which facilitates reproducible and scalable scientific processes through the use of software containers. This platform enables the adaptation of scripts from various popular scripting languages, making it versatile. The Fluent DSL within Nextflow simplifies the implementation and deployment of intricate reactive and parallel workflows across clusters and cloud environments. It was developed with the conviction that Linux serves as the universal language for data science. By leveraging Nextflow, users can streamline the creation of computational pipelines that amalgamate multiple tasks seamlessly. Existing scripts and tools can be easily reused, and there's no necessity to learn a new programming language to utilize Nextflow effectively. Furthermore, Nextflow supports various container technologies, including Docker and Singularity, enhancing its flexibility. The integration with the GitHub code-sharing platform enables the crafting of self-contained pipelines, efficient version management, rapid reproduction of any configuration, and seamless incorporation of shared code. Acting as an abstraction layer, Nextflow connects the logical framework of your pipeline with its execution mechanics, allowing for greater efficiency in managing complex workflows. This makes it a powerful tool for researchers looking to enhance their computational capabilities.

What is Google Cloud Composer?

The managed capabilities of Cloud Composer, combined with its integration with Apache Airflow, allow users to focus on designing, scheduling, and managing their workflows without the hassle of resource management. Its ability to seamlessly connect with numerous Google Cloud services like BigQuery, Dataflow, Dataproc, Datastore, Cloud Storage, Pub/Sub, and AI Platform enables effective orchestration of data pipelines. Whether your workflows are local, in multiple cloud environments, or solely within Google Cloud, you can oversee everything through a single orchestration interface. This solution not only eases your migration to the cloud but also facilitates a hybrid data setup, enabling the coordination of workflows that traverse both on-premises and cloud infrastructures. By building workflows that link data, processing, and services across diverse cloud platforms, you can create a unified data ecosystem that promotes efficiency and boosts collaboration. Moreover, this cohesive strategy not only simplifies operational processes but also enhances resource efficiency across all environments, ultimately leading to improved performance and productivity. In leveraging these capabilities, organizations can better respond to evolving data needs and capitalize on the full potential of their cloud investments.

Media

Media

Integrations Supported

Google Cloud Platform
APERIO DataWise
AWS Marketplace
Amazon Web Services (AWS)
Apache Airflow
Docker
GitHub
Google Cloud AI Infrastructure
Google Cloud BigQuery
Google Cloud Dataflow
Google Cloud Dataproc
Google Cloud Datastore
Google Cloud Pub/Sub
Google Cloud Storage
Illumina Connected Analytics
Kubernetes
Microsoft Azure
Pantomath
Python

Integrations Supported

Google Cloud Platform
APERIO DataWise
AWS Marketplace
Amazon Web Services (AWS)
Apache Airflow
Docker
GitHub
Google Cloud AI Infrastructure
Google Cloud BigQuery
Google Cloud Dataflow
Google Cloud Dataproc
Google Cloud Datastore
Google Cloud Pub/Sub
Google Cloud Storage
Illumina Connected Analytics
Kubernetes
Microsoft Azure
Pantomath
Python

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

$0.074 per vCPU 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

Seqera Labs

Date Founded

2018

Company Location

Spain

Company Website

nextflow.io

Company Facts

Organization Name

Google

Date Founded

1998

Company Location

United States

Company Website

cloud.google.com/composer

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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