Software Alternatives, Accelerators & Startups

Databricks Runtime VS Dokku

Compare Databricks Runtime VS Dokku and see what are their differences

Databricks Runtime logo Databricks Runtime

Cloud Platform as a Service (PaaS)

Dokku logo Dokku

Docker powered mini-Heroku in around 100 lines of Bash
  • Databricks Runtime Landing page
    Landing page //
    2023-09-16
  • Dokku Homepage
    Homepage //
    2024-08-26
  • Dokku Landing page
    Landing page //
    2023-07-24

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.

Dokku features and specs

  • Ease of Use
    Dokku provides simple commands and clear documentation, making it straightforward to deploy, manage, and scale applications using a process similar to Heroku.
  • Heroku Compatibility
    Dokku uses a Heroku-like buildpack system, which allows users to deploy applications with ease if they are already familiar with Heroku.
  • Cost-Effective
    Being an open-source project, Dokku itself is free to use, which can significantly reduce the cost of deploying applications compared to using premium services.
  • Customizability
    As an open-source tool, Dokku allows for extensive customization according to user needs, offering flexibility in deployment settings and configurations.
  • Plugin System
    Dokku supports a wide range of plugins, enabling users to extend its functionality easily, such as adding database support, monitoring capabilities, and more.

Possible disadvantages of Dokku

  • Initial Setup Complexity
    Setting up Dokku for the first time might be challenging, especially for users with limited experience in server management and Linux administration.
  • Limited Built-In Features
    Compared to fully-managed PaaS solutions, Dokku has fewer built-in features, potentially requiring more effort to implement certain functionalities such as load balancing and extensive monitoring.
  • Scalability Challenges
    While Dokku supports basic scaling, it might not handle extensive scaling needs as efficiently as more robust enterprise-level solutions.
  • Resource Management
    Dokku's resource management capabilities are limited compared to dedicated orchestration tools like Kubernetes, making it less suitable for complex and large-scale application deployments.
  • Community Support
    Even though Dokku has a growing community, it is not as large or as active as some of the more popular platforms, which can limit the availability of community-driven support and resources.

Databricks Runtime videos

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

Dokku videos

00028 Creating Your Own PaaS with Dokku

More videos:

  • Review - Dokku - An open source PAAS alternative to Heroku. You could save $$$ money!
  • Review - Rise Up and Deploy Your Own Heroku-like Service with Dokku in Minutes! #webdevelopment #tutorial

Category Popularity

0-100% (relative to Databricks Runtime and Dokku)
Cloud Hosting
15 15%
85% 85
Cloud Computing
11 11%
89% 89
Development
100 100%
0% 0
Backend As A Service
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Databricks Runtime and Dokku

Databricks Runtime Reviews

We have no reviews of Databricks Runtime yet.
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Dokku Reviews

35+ Of The Best CI/CD Tools: Organized By Category
Dokku is a great alternative if you’re working with a stringent budget. It’s a miniaturized self-hosted platform as a service. You can deploy applications to it using Git. Because it’s a Heroku derivative, it’s compatible with Heroku apps.
Heroku vs self-hosted PaaS
CapRover is in many ways similar to Dokku. It uses Docker for deployment just like Dokku but CapRover does not support buildpack deployments as it uses Dockerfiles only. This is not necessarily a bad thing since Dockerfile deployments are great in Dokku as well. You don’t have to write your own dockerfiles however for simple deployments as there are multiple defaults for...
Source: www.mskog.com

Social recommendations and mentions

Based on our record, Dokku seems to be more popular. It has been mentiond 21 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.

Dokku mentions (21)

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What are some alternatives?

When comparing Databricks Runtime and Dokku, you can also consider the following products

Nuclio - Nuclio is an open source serverless platform.

Google App Engine - A powerful platform to build web and mobile apps that scale automatically.

AWS Lambda - Automatic, event-driven compute service

Salesforce Platform - Salesforce Platform is a comprehensive PaaS solution that paves the way for the developers to test, build, and mitigate the issues in the cloud application before the final deployment.

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

Google Cloud Functions - A serverless platform for building event-based microservices.