Software Alternatives, Accelerators & Startups

Protocol Buffers VS Databricks

Compare Protocol Buffers VS Databricks and see what are their differences

Protocol Buffers logo Protocol Buffers

A method for serializing and interchanging structured data.

Databricks logo Databricks

Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.‎What is Apache Spark?
  • Protocol Buffers Landing page
    Landing page //
    2023-08-02
  • Databricks Landing page
    Landing page //
    2023-09-14

Protocol Buffers videos

Protocol Buffers- A Banked Journey - Christopher Reeves

More videos:

  • Review - justforfunc #30: The Basics of Protocol Buffers
  • Review - Complete Introduction to Protocol Buffers 3 : How are Protocol Buffers used?

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 Protocol Buffers and Databricks)
Configuration Management
100 100%
0% 0
Data Dashboard
0 0%
100% 100
Mobile Apps
100 100%
0% 0
Database Tools
0 0%
100% 100

User comments

Share your experience with using Protocol Buffers and Databricks. For example, how are they different and which one is better?
Log in or Post with

Reviews

These are some of the external sources and on-site user reviews we've used to compare Protocol Buffers and Databricks

Protocol Buffers Reviews

We have no reviews of Protocol Buffers yet.
Be the first one to post

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

Protocol Buffers might be a bit more popular than Databricks. We know about 18 links to it since March 2021 and only 17 links to 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.

Protocol Buffers mentions (18)

  • How to Build a Video Call with Gemini Summarization
    You will notice the code above prints out an array of numbers that only mean something to you if you are an all-knowing AI. These numbers are generated using Google's Protocol Buffers (also refered to as protobuf). - Source: dev.to / 15 days ago
  • Demonstrating ArangoDB VelocyPack: A High-Performance Binary Data Format
    The compact nature of VelocyPack also benefits data transmission over networks. Smaller data sizes mean less bandwidth usage and faster transmission times, essential for distributed databases and applications that rely on real-time data. Protocol Buffers (Protobuf) by Google is another binary format with similar advantages; VelocyPack's integration with ArangoDB offers seamless usage within this specific database... - Source: dev.to / 26 days ago
  • Reducing flyxc data usage
    Flyxc messages are based on protocol buffers ("protobuf" if you want to sound cool). They are not human readable but much more compact and faster for computers to work with:. - Source: dev.to / about 1 month ago
  • Did OpenTelemetry deliver on its promise in 2023?
    > Aren’t a standard You mean like an IETF standard? That is true, although the specification is quite simple to implement. It is certainly a de-facto standard, even if it hasn’t been standardized by the IETF or IEEE or ANSI or ECMA. > inherently limits anything built on top of them to not be a standard either I’m not sure that strictly follows. https://datatracker.ietf.org/doc/html/rfc9232 for example directly... - Source: Hacker News / 6 months ago
  • How to Keep a History of MQTT Data With Node.js
    The MQTT protocol is widely used in IoT applications because of its simplicity and ability to connect different data sources to applications using a publish/subscribe model. While many MQTT brokers support persistent sessions and can store message history as long as an MQTT client is not available, there may be cases where data needs to be stored for a longer period. In such cases, it is recommended to use a time... - Source: dev.to / 6 months ago
View more

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

What are some alternatives?

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

TOML - TOML - Tom's Obvious, Minimal Language

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

Messagepack - An efficient binary serialization format.

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.

Eno - Fast, human readable, plain-text data format

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.