Software Alternatives & Reviews

Kubernetes VS Databricks

Compare Kubernetes VS Databricks and see what are their differences

Kubernetes

Kubernetes is an open source orchestration system for Docker containers

Databricks

Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.‎What is Apache Spark?
  • Kubernetes Landing page
    Landing page //
    2023-07-24
  • Databricks Landing page
    Landing page //
    2023-09-14

Kubernetes

Categories
  • Developer Tools
  • DevOps Tools
  • Containers As A Service
  • Kubernetes
Website kubernetes.io  
Pricing URL-
Details $

Databricks

Categories
  • Data Science
  • Data Dashboard
  • Database Tools
  • Big Data Analytics
Website databricks.com  
Pricing URL Official Databricks Pricing  
Details $

Kubernetes videos

Kubernetes Documentation

More videos:

  • Review - Kubernetes in 5 mins
  • Review - Module 1: Istio - Kubernetes - Getting Started - Installation and Sample Application Review
  • Review - Deploying WordPress on Kubernetes, Step-by-Step

Databricks videos

Introduction to Databricks

More videos:

  • Tutorial - Azure Databricks Tutorial | Data transformations at scale
  • Review - Databricks - Data Movement and Query

Category Popularity

0-100% (relative to Kubernetes and Databricks)
Developer Tools
100 100%
0% 0
Data Dashboard
0 0%
100% 100
DevOps Tools
100 100%
0% 0
Database Tools
0 0%
100% 100

User comments

Share your experience with using Kubernetes and Databricks. 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 Kubernetes and Databricks

Kubernetes Reviews

The Top 7 Kubernetes Alternatives for Container Orchestration
Rancher RKE is an interface to the command line for Rancher Kubernetes Engine (RKE) and OpenShift. Both are software tools employed to deploy Kubernetes, an open source project that manages containers on several hosts.
Kubernetes Alternatives 2023: Top 8 Container Orchestration Tools
Azure Kubernetes Service is a container orchestration platform that offers secure serverless Kubernetes. AKS helps to manage Kubernetes clusters and makes deploying containerized applications so much easier. In addition to that, it provides automatic configuration of all Kubernetes nodes and master.
Top 12 Kubernetes Alternatives to Choose From in 2023
Google Kubernetes Engine (GKE) is a prominent choice for a Kubernetes alternative. It is provided and managed by Google Cloud, which offers fully managed Kubernetes services.
Source: humalect.com
Docker Swarm vs Kubernetes: how to choose a container orchestration tool
In this article, we explored the two primary orchestrators of the container world, Kubernetes and Docker Swarm. Docker Swarm is a lightweight, easy-to-use orchestration tool with limited offerings compared to Kubernetes. In contrast, Kubernetes is complex but powerful and provides self-healing, auto-scaling capabilities out of the box. K3s, a lightweight form of Kubernetes...
Source: circleci.com
Docker Alternatives
An open-source code, Rancher is another one among the list of Docker alternatives that is built to provide organizations with everything they need. This software combines the environments required to adopt and run containers in production. A rancher is built on Kubernetes. This tool helps the DevOps team by making it easier to testing, deploying and managing the...
Source: www.educba.com

Databricks Reviews

Jupyter Notebook & 10 Alternatives: Data Notebook Review [2023]
Databricks notebooks are a popular tool for developing code and presenting findings in data science and machine learning. Databricks Notebooks support real-time multilingual coauthoring, automatic versioning, and built-in data visualizations.
Source: lakefs.io
7 best Colab alternatives in 2023
Databricks is a platform built around Apache Spark, an open-source, distributed computing system. The Databricks Community Edition offers a collaborative workspace where users can create Jupyter notebooks. Although it doesn't offer free GPU resources, it's an excellent tool for distributed data processing and big data analytics.
Source: deepnote.com
Top 5 Cloud Data Warehouses in 2023
Jan 11, 2023 The 5 best cloud data warehouse solutions in 2023Google BigQuerySource: https://cloud.google.com/bigqueryBest for:Top features:Pros:Cons:Pricing:SnowflakeBest for:Top features:Pros:Cons:Pricing:Amazon RedshiftSource: https://aws.amazon.com/redshift/Best for:Top features:Pros:Cons:Pricing:FireboltSource: https://www.firebolt.io/Best for:Top...
Top 10 AWS ETL Tools and How to Choose the Best One | Visual Flow
Databricks is a simple, fast, and collaborative analytics platform based on Apache Spark with ETL capabilities. It accelerates innovation by bringing together data science and data science businesses. It is a fully managed open-source version of Apache Spark analytics with optimized connectors to storage platforms for the fastest data access.
Source: visual-flow.com
Top Big Data Tools For 2021
Now Azure Databricks achieves 50 times better performance thanks to a highly optimized version of Spark. Databricks also enables real-time co-authoring and automates versioning. Besides, it features runtimes optimized for machine learning that include many popular libraries, such as PyTorch, TensorFlow, Keras, etc.

Social recommendations and mentions

Based on our record, Kubernetes seems to be a lot more popular than Databricks. While we know about 274 links to Kubernetes, we've tracked only 17 mentions of Databricks. 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.

Kubernetes mentions (274)

  • Experience Continuous Integration with Jenkins | Ansible | Artifactory | SonarQube | PHP
    In this project, you will understand and get hands on experience around the entire concept around CI/CD from applications perspective. To fully gain real expertise around this idea, it is best to see it in action across different programming languages and from the platform perspective too. From the application perspective, we will be focusing on PHP here; there are more projects ahead that are based on Java,... - Source: dev.to / 4 days ago
  • The 2024 Web Hosting Report
    The single most important development in hosting since the invention of EC2 is defined by its own 3-letter acronym: k8s. Kubernetes has won the “container orchestrator” space, becoming the default way that teams across industries are managing their compute nodes and scheduling their workloads, from data pipelines to web services. - Source: dev.to / 13 days ago
  • How to Pass the KCNA - Kubernetes And Cloud Native Associate
    The official Kubernetes documentation, although dense, is a valuable resource to study. - Source: dev.to / 23 days ago
  • The Road To Kubernetes: How Older Technologies Add Up
    Kubernetes was first released on September 9, 2014. This release timeline is part of what helped it gain a foothold over Docker Swarm. It was an open source version of an internal Google project. Features of container orchestration were presented in a more modular fashion along with scaling functionality. You can chose how your networking stack works, your load balancing, container runtime, and filesystem... - Source: dev.to / 23 days ago
  • Deploying flask app to Kubernetes using Minikube
    Kubernetes manages the deployment, scaling, and operation of containerized applications across a cluster of machines. Kubernetes relies on tools such as container runtimes like Docker, to run the containers. - Source: dev.to / 28 days ago
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Databricks mentions (17)

  • dolly-v2-12b
    Dolly-v2-12bis a 12 billion parameter causal language model created by Databricks that is derived from EleutherAI’s Pythia-12b and fine-tuned on a ~15K record instruction corpus generated by Databricks employees and released under a permissive license (CC-BY-SA). Source: 11 months ago
  • Clickstream data analysis with Databricks and Redpanda
    Global organizations need a way to process the massive amounts of data they produce for real-time decision making. They often utilize event-streaming tools like Redpanda with stream-processing tools like Databricks for this purpose. - Source: dev.to / over 1 year ago
  • DeWitt Clause, or Can You Benchmark %DATABASE% and Get Away With It
    Databricks, a data lakehouse company founded by the creators of Apache Spark, published a blog post claiming that it set a new data warehousing performance record in 100 TB TPC-DS benchmark. It was also mentioned that Databricks was 2.7x faster and 12x better in terms of price performance compared to Snowflake. - Source: dev.to / over 1 year ago
  • A Quick Start to Databricks on AWS
    Go to Databricks and click the Try Databricks button. Fill in the form and Select AWS as your desired platform afterward. - Source: dev.to / almost 2 years ago
  • data science workspace/notebook solution thoughts?
    I am considering Hex, Deepnote, and possibly Databricks. Does anyone have any experience using the first 2 (i have worked with Databricks in the past) and have thoughts they can share? The company isn't doing any fancy data science so far so I mostly want it for deep product analytics which I can turn into reports that are easily shareable across the org. That being said, I do want to get into statistical... Source: almost 2 years ago
View more

What are some alternatives?

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

Rancher - Open Source Platform for Running a Private Container Service

Google BigQuery - A fully managed data warehouse for large-scale data analytics.

Docker - Docker is an open platform that enables developers and system administrators to create distributed applications.

Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.

Helm.sh - The Kubernetes Package Manager

Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.