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Databricks Runtime VS Fission.io

Compare Databricks Runtime VS Fission.io and see what are their differences

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Databricks Runtime logo Databricks Runtime

Cloud Platform as a Service (PaaS)

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.
  • Databricks Runtime Landing page
    Landing page //
    2023-09-16
  • Fission.io Landing page
    Landing page //
    2022-10-19

Databricks Runtime features and specs

  • Optimized Performance
    Databricks Runtime is optimized for performing heavy data workloads, providing better performance compared to using open-source Apache Spark without specific tuning.
  • Built-in Integrations
    It includes built-in integrations with popular data storage and management services like Azure, AWS, and many other data ecosystem tools, making it easier to set up a data infrastructure.
  • Enhanced Security
    Databricks Runtime offers advanced security features including role-based access controls and encryption to ensure that data is protected while being processed.
  • Up-to-date Libraries
    It provides a set of libraries that are kept up-to-date with the latest versions and improvements, ensuring that users have access to the best tools for data processing and analytics.
  • Collaboration Features
    The platform facilitates collaboration among data teams with tools like notebooks that can be shared and collaboratively edited in real time.

Possible disadvantages of Databricks Runtime

  • Cost
    While Databricks Runtime offers many advanced features, they come at a cost, which can be a significant factor for smaller organizations or startups with limited budgets.
  • Complexity
    For users who are not familiar with cloud-based data platforms, setting up and managing Databricks can be complex and might require a steep learning curve.
  • Dependency on Cloud Provider
    Since Databricks relies on cloud providers like AWS or Azure, users are dependent on these services, which can introduce risks related to service availability and outages.
  • Vendor Lock-in
    Using Databricks Runtime can lead to vendor lock-in, where migrating to another platform might become challenging due to the proprietary features and integrations you rely on.
  • Resource Management
    Managing and optimizing resource usage in Databricks can be complex, and inefficient resource management can lead to increased costs.

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.

Databricks Runtime videos

+ Add

Advancing Spark - Databricks Runtime 7 5 Review

More videos:

  • Review - Advancing Spark - Databricks Runtime 7 3 Beta Review
  • Demo - Databricks Runtime for Machine Learning Demo

Fission.io videos

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

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Category Popularity

0-100% (relative to Databricks Runtime and Fission.io)

Databricks Runtime

Fission.io

Cloud Computing
37 37%
Cloud Computing
63% 63
Cloud Hosting
38 38%
Cloud Hosting
62% 62
Development
43 43%
Development
57% 57
Developer Tools
27 27%
Developer Tools
73% 73

User comments

Share your experience with using Databricks Runtime and Fission.io. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, Fission.io seems to be more popular. It has been mentiond 5 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.

Databricks Runtime mentions (0)

We have not tracked any mentions of Databricks Runtime yet. Tracking of Databricks Runtime recommendations started around Mar 2021.

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

What are some alternatives?

When comparing Databricks Runtime and Fission.io, you can also consider the following products

AWS Lambda - Automatic, event-driven compute service

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

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.

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