Software Alternatives, Accelerators & Startups

Fission.io VS AWS Batch

Compare Fission.io VS AWS Batch and see what are their differences

Fission.io logo Fission.io

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

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.
  • Fission.io Landing page
    Landing page //
    2022-10-19
  • AWS Batch Landing page
    Landing page //
    2023-02-21

Fission.io features and specs

  • Decentralized Hosting
    Fission.io offers decentralized web hosting, which means your data can be distributed across multiple nodes, enhancing redundancy and accessibility.
  • No Backend Required
    Fission provides a platform that allows for serverless applications, eliminating the need for traditional backend infrastructure and simplifying development.
  • Portable and Interoperable
    Applications built on Fission can easily be moved and run across different platforms and environments, enhancing flexibility and interoperability with other systems.
  • Built-in Data Ownership
    Fission emphasizes data ownership, giving users control over their data by keeping it on their own devices or selectively choosing where it is stored.
  • Progressive Web Apps (PWA) Support
    Fission.io supports PWAs, allowing developers to create web applications with rich, native-like features while leveraging the power of the decentralized web.

Possible disadvantages of Fission.io

  • Limited Ecosystem
    As a relatively new platform, Fission.io has a smaller community and fewer third-party integrations compared to more established competitors.
  • Learning Curve
    Developers not familiar with decentralized and serverless architectures may face a learning curve when adopting Fission.io.
  • Performance Variability
    Decentralized hosting can sometimes result in variable performance due to the distributed nature of storage and computation resources.
  • Dependency on Browser Support
    Some features of Fission.io rely on modern browser capabilities, which may cause compatibility issues with older or less popular web browsers.
  • Market Adoption Risk
    As a platform that hinges on decentralized technology, Fission.io may face challenges in gaining widespread adoption in industries resistant to change.

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.

Fission.io videos

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AWS Batch videos

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)

Category Popularity

0-100% (relative to Fission.io and AWS Batch)
Cloud Computing
53 53%
47% 47
Cloud Hosting
54 54%
46% 46
Development
55 55%
45% 45
Developer Tools
58 58%
42% 42

User comments

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Reviews

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

Fission.io Reviews

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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

Social recommendations and mentions

Based on our record, AWS Batch should be more popular than Fission.io. 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.

Fission.io mentions (5)

  • A Brief History Of Serverless
    The FaaS platform gained a lot of popularity which resulted in many competitors. There was OSS providers like OpenFaaS or Fission. There were of course the commercial versions to like Azure Functions and Google Cloud Functions. - Source: dev.to / about 1 year ago
  • Questions for Heroku-like Project
    This is where I see K8S coming in – teachers can provide dev deployments that are setup for students to learn. Teachers can also provide containers that run automated tests against the student containers for assessment! Plus, we can smooth over some of the git workflow stuff for the ripest of beginners; we can integrate with github to sync their work on our platform to repositories on their github account, so that... Source: over 2 years ago
  • I'd like to execute a serverless function every time a message is written to a RabbitMQ or Kafka - what's the self-hosted equivalent of AWS Lambda + SNS/SQS or Azure Functions + ASQ/ASB?
    I use https://fission.io/ on Kubernetes to emulate AWS Lambda + API Gateway to run Python functions. I use their YAML Spec functionality to deploy functions. It works well for my use case. Source: almost 3 years ago
  • Give your users the power of JavaScript functions with Kubernetes and Fission.io
    After doing a lot of research, I ended up settling on the Fission.io framework to support this project. Fission is an open-source Serverless framework running in kubernetes. Think AWS Lambdas, but we are in control of every part of the infrastructure. Kubernetes gives us the power to define the environments the containers will be executed in, and any other resources they need. This gives us the control we need to... - Source: dev.to / almost 3 years ago
  • Removing the split stat change does one thing that continues to kill off players.
    Nope. I was using https://fission.io/. Source: almost 3 years ago

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: over 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 / over 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
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What are some alternatives?

When comparing Fission.io and AWS Batch, you can also consider the following products

Knative - Knative provides a set of components for building modern, source-centric, and container-based applications that can run anywhere.

AWS Lambda - Automatic, event-driven compute service

Nuclio - Nuclio is an open source serverless platform.

Google Cloud Run - Bringing serverless to containers

APeX - Get your own corner of the Web for less! Register a new .COM for just $9.99 for the first year and get everything you need to make your mark online — website builder, hosting, email, and more.

Dataphin - Dataphin is a unified PaaS platform for intelligent data creation and management, provides data integration, warehouse modeling, identity and profile distilling, asset management, and data services.