Software Alternatives, Accelerators & Startups

V (programming language) VS Databricks

Compare V (programming language) VS Databricks and see what are their differences

V (programming language) logo V (programming language)

Simple, fast, safe, compiled language for developing maintainable software.

Databricks logo Databricks

Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.‎What is Apache Spark?
  • V (programming language) Landing page
    Landing page //
    2022-11-25
  • Databricks Landing page
    Landing page //
    2023-09-14

V (programming language) videos

V Programming Language (Vlang): First Impression - Mike Shah

More videos:

  • Review - Introduction to V and its features (Sydney Computing Society)
  • Review - Testing the NEW "V" programming language!
  • Demo - Presentation of Vlang at IBM
  • Review - An introduction to V (Vlang)

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 V (programming language) and Databricks)
Programming Language
100 100%
0% 0
Data Dashboard
0 0%
100% 100
OOP
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 V (programming language) and Databricks

V (programming language) 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, V (programming language) should be more popular than Databricks. It has been mentiond 68 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.

V (programming language) mentions (68)

  • S3 Is Showing Its Age
    That's true for a vast majority of devs, but not for everyone. There are people like Jon Blow and projects like https://vlang.io. - Source: Hacker News / about 1 month ago
  • So We've Got a Memory Leak
    V uses a GC by default, but it's easily disabled per function/module via the @[manualfree] attribute or for the entire project via `v -gc none` https://vlang.io. - Source: Hacker News / about 2 months ago
  • V Language Review (2023)
    The creator of V made some big claims that raised a few eyeballs, they've gained a reasonable following over the years, have a pretty serious looking website (https://vlang.io) a beer-money level Patreon following and some corporate partnerships/sponsors. However have experienced some pretty brutal takedowns over the years, with some of the bolder claims about the language/compiler being exposed as being. A word I... - Source: Hacker News / 4 months ago
  • Things I've learned about building CLI tools in Python
    Fingers crossed for vlang[0]. It's like golang with better types and more syntactic sugar. Feels like a proper upgrade from Python. I really hope they succeed. [0]: https://vlang.io/. - Source: Hacker News / 8 months ago
  • Ah, Go, with its simple and straightforward syntax, where things just make sense (most of the time, before generics were added)
    And again a No true Scotsman. If that's the kind of attitude you have towards languages, you'll appreciate V infinitely more than you might be appreciating Rust. After all, it offers better solutions than Rust, like autofree, they just aren't there yet :). Source: 12 months 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 V (programming language) and Databricks, you can also consider the following products

Crystal (programming language) - Programming language with Ruby-like syntax that compiles to efficient native code.

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

Nim (programming language) - The Nim programming language is a concise, fast programming language that compiles to C, C++ and JavaScript.

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.

D (Programming Language) - D is a language with C-like syntax and static typing.

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.