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What is Elucidata Polly?

Harness the power of biomedical data with the Polly Platform, which is specifically crafted to improve the scalability of batch processing, workflows, coding environments, and data visualization. By enabling resource pooling, Polly smartly allocates resources based on your unique requirements while also utilizing spot instances when advantageous. This feature leads to better optimization, enhanced efficiency, faster response times, and lower costs related to resource consumption. Moreover, Polly includes a real-time dashboard that tracks resource usage and expenses, significantly alleviating the resource management workload for your IT team. A key component of Polly's architecture is its dedication to version control, which ensures that your workflows and analyses remain consistent through a strategic integration of dockers and interactive notebooks. Additionally, we have developed a system that allows for the seamless integration of data, code, and the computing environment, thus promoting collaboration and reproducibility. With the inclusion of cloud-based data storage and project sharing options, Polly assures that every analysis you perform can be consistently reproduced and verified. Consequently, Polly not only streamlines your workflow but also nurtures a collaborative atmosphere that encourages ongoing refinement and innovation. This platform empowers users to focus on their research and leverage cutting-edge tools to achieve their objectives more effectively.

What is AWS Batch?

AWS Batch offers a convenient and efficient platform for developers, scientists, and engineers to manage a large number of batch computing tasks within the AWS ecosystem. It automatically determines the optimal amount and type of computing resources, such as CPU- or memory-optimized instances, based on the specific requirements and scale of the submitted jobs. This functionality allows users to avoid the difficulties of installing or maintaining batch computing software and server infrastructure, enabling them to focus on analyzing results and solving problems. With the ability to plan, schedule, and execute batch workloads, AWS Batch utilizes the full range of AWS compute services, including AWS Fargate, Amazon EC2, and Spot Instances. Notably, AWS Batch does not impose any additional charges; users are only billed for the AWS resources they use, such as EC2 instances or Fargate tasks, to run and store their batch jobs. This smart resource allocation not only conserves time but also minimizes operational burdens for organizations, fostering greater productivity and efficiency in their computing processes. Ultimately, AWS Batch empowers users to harness cloud computing capabilities without the typical hassles of resource management.

Media

Media

Integrations Supported

AWS Step Functions
Amazon EC2 P4 Instances
Amazon EC2 Trn2 Instances
Amazon FSx for Lustre
Amazon Fresh
Amazon S3
Amazon Web Services (AWS)
Bitbucket
Box
Docker
Dropbox
EC2 Spot
Flyte
GitHub
Jupyter Notebook
RadiantOne
Saagie
Stonebranch

Integrations Supported

AWS Step Functions
Amazon EC2 P4 Instances
Amazon EC2 Trn2 Instances
Amazon FSx for Lustre
Amazon Fresh
Amazon S3
Amazon Web Services (AWS)
Bitbucket
Box
Docker
Dropbox
EC2 Spot
Flyte
GitHub
Jupyter Notebook
RadiantOne
Saagie
Stonebranch

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

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

Elucidata

Date Founded

2015

Company Location

United States

Company Website

elucidata.io

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/batch/

Categories and Features

Data Visualization

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

Categories and Features

DevOps

Approval Workflow
Dashboard
KPIs
Policy Management
Portfolio Management
Prioritization
Release Management
Timeline Management
Troubleshooting Reports

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Azure Batch

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AWS Fargate

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