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Databricks VS Inferno

Compare Databricks VS Inferno and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Databricks logo Databricks

Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.‎What is Apache Spark?

Inferno logo Inferno

An extremely fast React-like javascript library for building modern user interfaces.
  • Databricks Landing page
    Landing page //
    2023-09-14
  • Inferno Landing page
    Landing page //
    2023-05-11

Databricks videos

+ Add

Introduction to Databricks

More videos:

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

Inferno videos

+ Add

Inferno - Movie Review

More videos:

  • Review - Inferno - Movie Review
  • Review - Inferno - Official Movie Review

Category Popularity

0-100% (relative to Databricks and Inferno)

Databricks

Inferno

Data Dashboard
100 100%
Data Dashboard
0% 0
Javascript UI Libraries
0 0%
Javascript UI Libraries
100% 100
Database Tools
100 100%
Database Tools
0% 0
JavaScript Framework
0 0%
JavaScript Framework
100% 100

User comments

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

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...
Source: www.shipyardapp.com
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.
Source: blog.bismart.com

Inferno Reviews

The Best JavaScript Frameworks You’re Not Using
There isn’t an overall number we can use to gauge performance on the chart above, but smaller numbers are better. Obviously, Inferno performs very well again. If you’re a React developer and have a project that requires excellent performance, Inferno is definitely something you should consider. We’ll finish with this from the Inferno “About” page:
Source: jsreport.io

Social recommendations and mentions

Based on our record, Databricks should be more popular than Inferno. 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.

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
View more

Inferno mentions (2)

  • Solid vs React - the Fastest VS the Most Popular UI Library
    Some might argue that React’s relatively poor performance (it’s still plenty-fast for many apps) is due to Virtual DOM and prioritization of development experience, i.e., clarity over complexity. To counter the first argument - there’s React-like Inferno. For the second one - there’s Solid. - Source: dev.to / about 3 years ago
  • A Look at Compilation in JavaScript Frameworks
    A VDOM library like Inferno uses this information to compile its JSX directly into pre-optimized node structures. Marko, and Vue hoist their static VDOM nodes outside of their components so that they don't incur the overhead of recreating them on every render. - Source: dev.to / about 3 years ago

What are some alternatives?

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

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

Preact.js - Preact is a fast 3kB alternative to React with the same modern API. Components & Virtual DOM.

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.

Vue.js - Reactive Components for Modern Web Interfaces

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.

Svelte - Cybernetically enhanced web apps

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