List of AWS Batch Customers
Seattle, 98109, WA,
United States
Since 2010, our global team of researchers has been studying AWS Batch customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased AWS Batch for Apps Development from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using AWS Batch for Apps Development include: Deluxe Media, a United States based Media organisation with 6000 employees and revenues of $900.0 million, Caris Life Sciences, a United States based Healthcare organisation with 1500 employees and revenues of $400.0 million, Centre for Cellular and Molecular Biology India, a India based Life Sciences organisation with 678 employees and revenues of $10.0 million and many others.
Contact us if you need a completed and verified list of companies using AWS Batch, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The AWS Batch customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
Apply Filters For Customers
| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
|---|---|---|---|---|---|---|---|---|---|---|---|
 |
Caris Life Sciences | Healthcare | 1500 | $400M | United States | Amazon Web Services (AWS) | AWS Batch | Apps Development | 2024 | n/a |
In 2024, Caris Life Sciences deployed AWS Batch as the core orchestration layer for an RNA sequencing analysis pipeline, building this implementation within the Apps Development category to scale large batch bioinformatics workloads. The deployment targeted genomics research operations in the United States and was led with AWS to enable high-throughput reprocessing of research data.
The implementation combined Nextflow as the workflow engine, AWS HealthOmics for genomic data management, and AWS Batch to schedule and manage containerized jobs, with EC2 Spot vCPU capacity used for compute. Configuration emphasized pipeline reproducibility and high parallelism, enabling orchestrated execution of thousands of concurrent tasks across the Nextflow-managed workflows and containerized analysis steps.
Integrations were explicit and limited to the stated components, with AWS HealthOmics integrated for dataset access and metadata handling, Nextflow integrated for workflow dependency management, and AWS Batch operating against EC2 Spot capacity to deliver scale. Operational coverage focused on Caris research and bioinformatics teams in the United States, processing research samples and supporting large-scale reanalysis efforts across genomics workflows.
Governance and process changes centralized pipeline orchestration and standardized reanalysis workflows to manage large batch runs, while rollout emphasized scalable compute provisioning and workflow reproducibility. The environment reprocessed more than 400,000 samples, scaled to roughly 200,000 concurrent EC2 Spot vCPUs, and processed the full dataset in roughly 2.5 days, delivering major throughput and cost improvements as reported.
|
 |
Centre for Cellular and Molecular Biology India | Life Sciences | 678 | $10M | India | Amazon Web Services (AWS) | AWS Batch | Apps Development | 2024 | Locuz |
In 2024, Centre for Cellular and Molecular Biology India implemented AWS Batch as part of a migration of genomic data and analysis pipelines to Amazon Web Services, deploying the service to support research and genomics activities in India. This Apps Development implementation centralized datasets and removed the need for large downloads, shifting analysis execution to cloud-resident data and compute to enable more efficient pipeline execution.
The deployment leveraged AWS Batch to automate and accelerate bioinformatics workflows, introducing job orchestration, queue based compute provisioning, and pipeline automation to manage sequencing and analysis tasks at scale. AWS Batch was configured to coordinate batch jobs and streamline researcher submission and monitoring, reducing manual intervention in long running analyses.
Amazon Web Services engaged partner Locuz to assist with implementation and operational setup, providing system integration support, environment provisioning, and operational handover to CCMB teams. The operational scope covered CCMB research laboratories and genomics projects across India, enabling centralized pipeline control and cloud native access patterns for scientists.
The migration to AWS and adoption of AWS Batch explicitly produced up to 98% faster analysis by removing large downloads and centralizing data on AWS. Governance changes emphasized automated job orchestration and centralized pipeline management to standardize workflows and operational ownership for bioinformatics processing.
|
 |
Deluxe Media | Media | 6000 | $900M | United States | Amazon Web Services (AWS) | AWS Batch | Apps Development | 2023 | n/a |
In 2023, Deluxe Media implemented AWS Batch to run its Deluxe One media-processing pipeline. The deployment targeted Apps Development use cases for content distribution, orchestrating hundreds of thousands of containerized jobs across transcoding, DRM, and localization workflows to support streaming and broadcast delivery.
Architecturally the implementation used AWS Batch compute environments and job definitions to manage container images and job queues, providing elastic vCPU provisioning and parallel job orchestration. Functional capabilities implemented included batch transcoding, digital rights management processing, localization task orchestration, and automated retry and error handling to maintain pipeline throughput.
Operational execution occurred in the United States with testing beginning February 2023 and going live July 2023, implemented in partnership with AWS. AWS Batch was embedded into the Deluxe One pipeline to feed downstream content distribution workflows, covering media operations and engineering teams responsible for content preparation and delivery.
Governance followed staged testing and live rollout phases with operations and engineering coordinating job queue policies, compute capacity limits, and deployment automation. The AWS Batch implementation achieved a 5x increase in vCPU scaling and a 50% reduction in job error rates, while reducing compute and licensing costs and enabling faster delivery to streaming and broadcast customers.
|
Buyer Intent: Companies Evaluating AWS Batch
Discover Software Buyers actively Evaluating Enterprise Applications
| Logo | Company | Industry | Employees | Revenue | Country | Evaluated | ||
|---|---|---|---|---|---|---|---|---|
| No data found | ||||||||