Software Alternatives, Accelerators & Startups

Buildbot VS Databricks

Compare Buildbot VS Databricks and see what are their differences

Buildbot logo Buildbot

Python-based continuous integration testing framework

Databricks logo Databricks

Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.‎What is Apache Spark?
  • Buildbot Landing page
    Landing page //
    2021-09-21
  • Databricks Landing page
    Landing page //
    2023-09-14

Buildbot videos

Craig Rodrigues - Migrating Python.org to Buildbot 9 and Python 3 - SF Python Meetup

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 Buildbot and Databricks)
Continuous Integration
100 100%
0% 0
Data Dashboard
0 0%
100% 100
DevOps Tools
100 100%
0% 0
Database Tools
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 Buildbot and Databricks

Buildbot Reviews

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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, Databricks should be more popular than Buildbot. It has been mentiond 17 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.

Buildbot mentions (9)

  • 10 open source tools that platform, SRE and DevOps engineers should consider in 2024.
    Buildbot is a versatile CI framework designed to automate all aspects of the software development cycle, enhancing efficiency and reliability. As an open-source platform, it is highly customizable, allowing teams to tailor the automation process to their specific needs. Buildbot excels in integrating various stages of development, from code integration, testing, to deployment, ensuring a seamless and coherent... - Source: dev.to / 5 months ago
  • Continuos Integration and C++
    If you want more than the builtin CIs in Github and Gitlab, https://buildbot.net is the way. Source: about 1 year ago
  • What are the open source CI/CD tools for C++ (comparable to Ansible, Jenkins, etc.)?
    If you don't have one already integrated with your source control, buildbot is pretty nice and doesn't force you to use docker like most others. Source: over 1 year ago
  • Why Jenkins?
    Https://buildbot.net/ existed before Jenkins Hudson and was quite well known. Source: over 1 year ago
  • Which is the best CI/CD self-hosted open source tool?
    I have used python based CI tool buildbot which is a great tool but we want to move away from buildbot only because in some scenarios we want to compile low-level microseconds which are in c++ to a different architecture. Buildbot doesn't have such a feature. - Source: dev.to / almost 2 years 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: about 1 year 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 / almost 2 years 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 / about 2 years 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 / about 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: about 2 years ago
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What are some alternatives?

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

Jenkins - Jenkins is an open-source continuous integration server with 300+ plugins to support all kinds of software development

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

Travis CI - Focus on writing code. Let Travis CI take care of running your tests and deploying your apps.

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.

CircleCI - CircleCI gives web developers powerful Continuous Integration and Deployment with easy setup and maintenance.

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.