Software Alternatives, Accelerators & Startups

Google Open Source VS Databricks

Compare Google Open Source VS Databricks and see what are their differences

Google Open Source logo Google Open Source

All of Googles open source projects under a single umbrella

Databricks logo Databricks

Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.‎What is Apache Spark?
  • Google Open Source Landing page
    Landing page //
    2023-09-22
  • Databricks Landing page
    Landing page //
    2023-09-14

Google Open Source videos

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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 Google Open Source and Databricks)
Developer Tools
100 100%
0% 0
Data Dashboard
0 0%
100% 100
Productivity
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 Google Open Source and Databricks

Google Open Source 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 Google Open Source. 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.

Google Open Source mentions (7)

  • OpenAI no longer Open. "We were wrong [...] I fully expect that in a few years it’s going to be completely obvious to everyone that open-sourcing AI is just not wise."
    Open AI's work is based off of Google's research paper. Google believes in open source! https://opensource.google/ Google will save us. Google will make their AI open source. Their motto is "Don't be evil"! ... But I'm still waiting for their source code of YouTube, Gmail, drive, maps, docs, sheets, forms, search, ads, translate, sites, etc. Source: about 1 year ago
  • "My Reaction to Dr. Stroustrup’s Recent Memory Safety Comments"
    It's not on google github/their open source git host(for comparison, the canonical go repo is), their readme makes no mention of google, wikipedia says "The language is expected to have a 1.0 release in 2024 or 2025.[4]",. Source: over 1 year ago
  • Questions about the controller
    Google would have to open source the controller firmware for people to find a way to make Bluetooth work, but there are no discontinued Google products on opensource.google at all. Source: over 1 year ago
  • controller software open source?
    Https://opensource.google/ is not listing any dead Google products my dude. Source: over 1 year ago
  • There are no open issues or pull requests on Flask
    And side note, don't bring up both MS and Google when both are well known to make use of FOSS. Google has an entire page about how they both make use of and release OSS. Source: 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 Google Open Source and Databricks, you can also consider the following products

LaunchKit - Open Source - A popular suite of developer tools, now 100% open source.

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

Open Source @IFTTT - A collection of IFTTT OSS projects.

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.

Disney Open Source - Explore Disney's Open Source projects

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.