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AWS Batch VS DaemonStack

Compare AWS Batch VS DaemonStack and see what are their differences

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AWS Batch logo AWS Batch

AWS Batch enables developers, scientists, and engineers to easily and efficiently run hundreds of thousands of batch computing jobs on AWS.

DaemonStack logo DaemonStack

Run compute workload across Cloud Providers. Alternative to AWS Batch.
  • AWS Batch Landing page
    Landing page //
    2023-02-21
Not present

Daestro empowers you to seamlessly run your compute workloads across a multitude of cloud providers, including Vultr, DigitalOcean, Linode, AWS, OVHCloud, Azure, and GCP, as well as your own self-hosted compute infrastructure. This cloud-agnostic platform allows you to execute batch jobs using your existing cloud accounts, giving you complete control and flexibility.

  • Secure API Integration: Provide your API tokens for your chosen providers, which are securely encrypted with AES 256 for storage.
  • Flexible Job Definitions: Create Job Definitions using Docker images, enabling you to run virtually any type of job.
  • Customizable Job Parameters: Define commands, command parameters, and environment variables for precise job control.
  • Programmatic Job Submission: Submit jobs programmatically via API for automation and integration.
  • Real-time Monitoring: View real-time job logs and track comprehensive compute metrics (CPU and memory utilization).
  • Log Export: Export container logs for analysis and debugging.
  • Job Scheduling: Schedule jobs for later execution.
  • Cron Jobs: Set up cron jobs for recurring tasks.

AWS Batch

Website
aws.amazon.com
$ Details
-
Release Date
-
Edit details

DaemonStack

Website
daestro.com
$ Details
freemium $29.0 / Monthly (Pro)
Release Date
2025 February
Startup details
Country
India
State
Chhattisgarh
City
Bhatapara
Founder(s)
Vivek Shukla
Employees
1 - 9
Edit details

AWS Batch features and specs

  • Scalability
    AWS Batch automatically provisions the optimal quantity and type of compute resources based on the volume and specific resource requirements of the batch jobs submitted.
  • Cost-Effectiveness
    By using AWS Batch, you only pay for the resources you consume, and it provides integration with Spot Instances which can significantly lower costs.
  • No Infrastructure Management
    AWS Batch removes the need to manage server clusters or other infrastructure, allowing users to focus entirely on jobs and workloads.
  • Flexible Job Definitions
    Users can easily specify job definitions to model their machine learning, batch processing, or other computational tasks, allowing for flexibility in resource allocation.
  • Integration with AWS Services
    AWS Batch integrates with various AWS services like Amazon CloudWatch, AWS Lambda, and AWS IAM to provide a comprehensive and secure batch processing solution.

Possible disadvantages of AWS Batch

  • Complexity
    Setting up and configuring AWS Batch can be complex for new users unfamiliar with AWS services, requiring a learning curve.
  • Limited to AWS Ecosystem
    AWS Batch is deeply integrated into the AWS ecosystem, which might not be ideal for users looking for a multi-cloud strategy or those using different cloud service providers.
  • Vendor Lock-in
    Heavy reliance on AWS Batch can lead to vendor lock-in, making it potentially difficult to migrate workloads to other platforms if needed.
  • Potential for Hidden Costs
    While AWS Batch can be cost-effective, there is the potential for unexpected costs if jobs are not efficiently managed or optimized, especially when scaling up resources.
  • Limited Control Over Infrastructure
    Since AWS Batch manages infrastructure automatically, users have limited control over the underlying compute resources, which may not be suitable for all use cases.

DaemonStack features and specs

No features have been listed yet.

AWS Batch videos

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How AWS Batch Works

More videos:

  • Review - Live from the London Loft | AWS Batch: Simplifying Batch Computing in the Cloud
  • Review - AWS re:Invent 2018: AWS Batch & How AQR leverages AWS to Identify New Investment Signals (CMP372)

DaemonStack videos

No DaemonStack videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to AWS Batch and DaemonStack)

AWS Batch

DaemonStack

Cloud Computing
89 89%
Cloud Computing
11% 11
Developer Tools
74 74%
Developer Tools
26% 26
Cloud Hosting
100 100%
Cloud Hosting
0% 0
Cloud Infrastructure
0 0%
Cloud Infrastructure
100% 100

Questions and Answers

As answered by people managing AWS Batch and DaemonStack.

What makes your product unique?

DaemonStack's answer:

DaemonStack let's you run your compute workload across cloud providers. That enables user to not depend on any one cloud provider.

Why should a person choose your product over its competitors?

DaemonStack's answer:

DaemonStack is cloud agnostic. You can take advantage of all cloud providers by using DaemonStack.

How would you describe your primary audience?

DaemonStack's answer:

Developers, DevOps, People who need HPC, etc.

Which are the primary technologies used for building your product?

DaemonStack's answer:

Backend is build on Rust. Frontend is SvelteKit. Database used is Postgres.

User comments

Share your experience with using AWS Batch and DaemonStack. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare AWS Batch and DaemonStack

AWS Batch Reviews

Python & ETL 2020: A List and Comparison of the Top Python ETL Tools
AWS Batch: This is used for batch computing jobs on AWS resources. It has insane scalability and is well-suited for engineers look to do large compute jobs.
Source: www.xplenty.com

DaemonStack Reviews

We have no reviews of DaemonStack yet.
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Social recommendations and mentions

Based on our record, AWS Batch should be more popular than DaemonStack. It has been mentiond 14 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

AWS Batch mentions (14)

  • Looking for a decent (self hostable) program to orchestrate scripts, notify on failures, etc
    After moving off Jenkins, I moved everything to AWS Batch with Fargate. This works quite well, but it is proving to be a little expensive, as I have to pay for:. Source: almost 2 years ago
  • Hosting strategy suggestions
    If you're looking for more control over your infrastructure and want to run a full computing environment, EC2 might be the right choice for you. With EC2, you have complete control over the operating system, network, and storage, which can be useful if you need to install custom software or use specific hardware configurations. Additionally, EC2 + Batch processing provide a wider range of instance types, including... Source: about 2 years ago
  • Questions for bioinformatics researchers that use AWS
    AWS Batch is the equivalent of a university cluster you submit to with slurm/sge/lsf/etc. But does not use those schedulers as AWS has their own. Source: about 2 years ago
  • Scheduling "Fetch & Run" Batch Jobs with AWS Batch and CloudWatch Rules
    Developers frequently use batch computing to access significant amounts of processing power. You may perform batch computing workloads in the AWS Cloud with the aid of AWS Batch, a fully managed service provided by AWS. It is a powerful solution that can plan, schedule, and execute containerized batch or machine learning workloads across the entire spectrum of AWS compute capabilities, including Amazon ECS, Amazon... - Source: dev.to / about 2 years ago
  • can you run OS applications in lambda layers?
    As others mentioned, you *can*. It might be easier with AWS Batch (https://aws.amazon.com/batch/) depending on what you're trying to do. Source: over 2 years ago
View more

DaemonStack mentions (2)

  • Ask HN: What are you working on? (April 2025)
    Working on adding Job schedule and cron features in Daestro[1]. About Daestro: Daestro is workload orchestrator that can run compute jobs across cloud providers and on your own compute as well. More like cloud agnostic batch jobs or step functions. [1]: https://daestro.com. - Source: Hacker News / 4 days ago
  • Ask HN: What Are You Working On? (February 2025)
    A cloud agnostic platform to run your compute workloads across cloud providers. Currently supports Vultr and DigitalOcean. More cloud providers coming soon. Will also release support for on-prem. Daestro - https://daestro.com. - Source: Hacker News / 2 months ago

What are some alternatives?

When comparing AWS Batch and DaemonStack, you can also consider the following products

Fission.io - Fission.io is a serverless framework for Kubernetes that supports many concepts such as event triggers, parallel execution, and statelessness.

Resume YaY - Free AI Resume Builder, no signup, and no login required. Build your resume in minutes and download it in high-quality and ATS-friendly PDF format.

Nuclio - Nuclio is an open source serverless platform.

OnlineOrNot - Uptime monitoring for software teams (even teams of one).

AWS Lambda - Automatic, event-driven compute service

TheBlue.social - Bluesky analytics, post scheduling and tools

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