Software Alternatives, Accelerators & Startups

fx VS Materialize

Compare fx VS Materialize and see what are their differences

fx logo fx

Command-line JSON processing tool

Materialize logo Materialize

A Streaming Database for Real-Time Applications
  • fx Landing page
    Landing page //
    2023-09-23
  • Materialize Landing page
    Landing page //
    2023-08-27

fx videos

Suzuki FX | Suzuki Alto First Generation: Owner Review: Price, Specs & Features | PakWheels

More videos:

  • Review - Numark Mixtrack Pro FX & Platinum FX Review - The best new DJ controllers for beginners?
  • Review - The PC-FX - Review - Game Sack

Materialize videos

Bootstrap Vs. Materialize - Which One Should You Choose?

More videos:

  • Review - Materialize Review | Does it compete with Substance Painter?
  • Review - Why We Don't Need Bootstrap, Tailwind or Materialize

Category Popularity

0-100% (relative to fx and Materialize)
File Manager
100 100%
0% 0
Databases
0 0%
100% 100
File Explorer
100 100%
0% 0
Database Tools
0 0%
100% 100

User comments

Share your experience with using fx and Materialize. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, Materialize should be more popular than fx. It has been mentiond 65 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.

fx mentions (17)

  • I wrote JOSN, a command-line JSON browser
    Neat! You mentioned not getting the hang of jq, have you played with fx? Source: about 1 year ago
  • Show HN: Llama – Terminal File Manager
    This looks like something I'd use often. Thanks for creating it! For anyone who's not familiar, Anton is also behind the highly useful fx[0] for wrangling JSON data in the terminal. [0] https://github.com/antonmedv/fx. - Source: Hacker News / over 1 year ago
  • I'm developing a new command line tool for querying and transforming JSON files , called ~Q (pronounced "unquery"). My design goal is to create a tool that is powerful yet easy to use (aim to be more intuitive for users than existing tools such as jq). Let me know your thoughts and suggestions.
    I've been so fed up with jq's annoying syntax that I began thinking about developing something that can perform json operations in familiar syntax such as javascript but I ran into fx (https://github.com/antonmedv/fx) and it's been pretty great actually. Source: over 1 year ago
  • Fx 24.0.0
    Hi I’m the author of https://github.com/antonmedv/fx (terminal JSON viewer) Recently I decided to rewrite entire program to Go. And usually on second rewrite things end-up better. Main reason for this, I believe is clear end result, the target. I think new ersion of fx is much more superior:) I recommend you, to check it out ;) Would like to have some feedback and ideas for improvement. One of new cool features... - Source: Hacker News / about 2 years ago
  • Zq: An Easier (and Faster) Alternative to Jq
    I really like fx (https://github.com/antonmedv/fx) for interactive stuff. It does exactly what I think you want. You can expand individual fields and explore the schema. However, I really do like jq for queries and scripting, so I keep both around. - Source: Hacker News / about 2 years ago
View more

Materialize mentions (65)

  • Choosing Between a Streaming Database and a Stream Processing Framework in Python
    To fully leverage the data is the new oil concept, companies require a special database designed to manage vast amounts of data instantly. This need has led to different database forms, including NoSQL databases, vector databases, time-series databases, graph databases, in-memory databases, and in-memory data grids. Recent years have seen the rise of cloud-based streaming databases such as RisingWave, Materialize,... - Source: dev.to / 4 months ago
  • We Built a Streaming SQL Engine
    Some recent solutions to this problem include Differential Dataflow and Materialize. It would be neat if postgres adopted something similar for live-updating materialized views. https://github.com/timelydataflow/differential-dataflow. - Source: Hacker News / 8 months ago
  • Ask HN: Who is hiring? (October 2023)
    Materialize | Full-Time | NYC Office or Remote | https://materialize.com Materialize is an Operational Data Warehouse: A cloud data warehouse with streaming internals, built for work that needs action on what’s happening right now. Keep the familiar SQL, keep the proven architecture of cloud warehouses but swap the decades-old batch computation model for an efficient incremental engine to get complex queries that... - Source: Hacker News / 8 months ago
  • Ask HN: Who is hiring? (June 2023)
    Materialize | EM (Compute), Senior PM | New York, New York | https://materialize.com/ You shouldn't have to throw away the database to build with fast-changing data. Keep the familiar SQL, keep the proven architecture of cloud warehouses, but swap the decades-old batch computation model for an efficient incremental engine to get complex queries that are always up-to-date. That is Materialize, the only true SQL... - Source: Hacker News / about 1 year ago
  • Ask HN: Who is hiring? (April 2023)
    Materialize | NY, NY | https://materialize.com/ The Cloud Database for Fast-Changing Data. We put a streaming engine in a database, so your team can build real-time data products without the cost, complexity, and development time of stream processing. Cloud team openings: https://grnh.se/0ad6ab6b4us Senior PM openings: https://grnh.se/415c267f4us. - Source: Hacker News / about 1 year ago
View more

What are some alternatives?

When comparing fx and Materialize, you can also consider the following products

jello - jello is a command line tool that filters JSON data using pure python syntax.

Apache Flink - Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.

jq - jq is like sed for JSON data - you can use it to slice and filter and map and transform structured...

Apache Kafka - Apache Kafka is an open-source message broker project developed by the Apache Software Foundation written in Scala.

Emuto - Emuto is a small language for manipulating and restructuring JSON and other data files.

ClickHouse - ClickHouse is an open-source column-oriented database management system that allows generating analytical data reports in real time.