Software Alternatives, Accelerators & Startups

fzf VS Apache Flink

Compare fzf VS Apache Flink and see what are their differences

fzf logo fzf

A command-line fuzzy finder written in Go

Apache Flink logo Apache Flink

Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.
  • fzf Landing page
    Landing page //
    2023-09-26
  • Apache Flink Landing page
    Landing page //
    2023-10-03

fzf videos

Vim universe. fzf - command line fuzzy finder

More videos:

  • Review - How I Work: fzf
  • Review - fzf - Fuzzy Finder For Your Shell - Linux TUI

Apache Flink videos

GOTO 2019 • Introduction to Stateful Stream Processing with Apache Flink • Robert Metzger

More videos:

  • Tutorial - Apache Flink Tutorial | Flink vs Spark | Real Time Analytics Using Flink | Apache Flink Training
  • Tutorial - How to build a modern stream processor: The science behind Apache Flink - Stefan Richter

Category Popularity

0-100% (relative to fzf and Apache Flink)
Note Taking
100 100%
0% 0
Big Data
0 0%
100% 100
Productivity
100 100%
0% 0
Stream Processing
0 0%
100% 100

User comments

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

Based on our record, fzf should be more popular than Apache Flink. It has been mentiond 218 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.

fzf mentions (218)

  • I a Avid Vim User, Finally Migrated to Neovim! How does it work, what do I gain from it?
    Very often when you start customizing your Vim or Neovim, you install a plugin allowing you to display the tree structure in your editor. It's nice, it allows you to have a view of the structure, but moving from one file to another is slow. So, very quickly, we turn to Fuzzy-finder. And there, generally, we come back to life and we no longer want to leave our publisher. - Source: dev.to / 4 days ago
  • 9 tools, libraries and extensions our developer can't live without (and why)
    Fzf plugs into almost every alias I have including shell history, which allows me to operate in the CLI using 1-5 keystrokes instead of typing out extremely long commands. Here's a good tutorial of using FZF. - Source: dev.to / 10 days ago
  • Fzf advanced integration in Powershell
    If you want to integrate fzf with rg, fd, bat to fuzzy find files, directories or ripgrep the content of a file and preview using bat, but the fzf document only has commands for Linux shell (bash,...), and you want to achieve that on your Windows Machine using Powershell, this post may be for you. - Source: dev.to / 22 days ago
  • Ask HN: Any tool for managing large and variable command lines?
    I have removed limit for bash history lines and file size and am using https://github.com/junegunn/fzf for reverse-search. - Source: Hacker News / 2 months ago
  • So You Think You Know Git – Git Tips and Tricks by Scott Chacon
    Those are the most used aliases in my gitconfig. "git fza" shows a list of modified/new files in an fzf window, and you can select each file with tab plus arrow keys. When you hit enter, those files are fed into "git add". Needs fzf: https://github.com/junegunn/fzf. - Source: Hacker News / 5 months ago
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Apache Flink mentions (30)

  • Show HN: Restate, low-latency durable workflows for JavaScript/Java, in Rust
    Restate is built as a sharded replicated state machine similar to how TiKV (https://tikv.org/), Kudu (https://kudu.apache.org/kudu.pdf) or CockroachDB (https://github.com/cockroachdb/cockroach) since it makes it possible to tune the system more easily for different deployment scenarios (on-prem, cloud, cost-effective blob storage). Moreover, it allows for some other cool things like seamlessly moving from one log... - Source: Hacker News / 15 days ago
  • Array Expansion in Flink SQL
    I’ve recently started my journey with Apache Flink. As I learn certain concepts, I’d like to share them. One such "learning" is the expansion of array type columns in Flink SQL. Having used ksqlDB in a previous life, I was looking for functionality similar to the EXPLODE function to "flatten" a collection type column into a row per element of the collection. Because Flink SQL is ANSI compliant, it’s no surprise... - Source: dev.to / about 1 month ago
  • Show HN: An SQS Alternative on Postgres
    You should let the Apache Flink team know, they mention exactly-once processing on their home page (under "correctness guarantees") and in their list of features. [0] https://flink.apache.org/ [1] https://flink.apache.org/what-is-flink/flink-applications/#building-blocks-for-streaming-applications. - Source: Hacker News / about 2 months ago
  • Top 10 Common Data Engineers and Scientists Pain Points in 2024
    Data scientists often prefer Python for its simplicity and powerful libraries like Pandas or SciPy. However, many real-time data processing tools are Java-based. Take the example of Kafka, Flink, or Spark streaming. While these tools have their Python API/wrapper libraries, they introduce increased latency, and data scientists need to manage dependencies for both Python and JVM environments. For example,... - Source: dev.to / 3 months ago
  • Choosing Between a Streaming Database and a Stream Processing Framework in Python
    Other stream processing engines (such as Flink and Spark Streaming) provide SQL interfaces too, but the key difference is a streaming database has its storage. Stream processing engines require a dedicated database to store input and output data. On the other hand, streaming databases utilize cloud-native storage to maintain materialized views and states, allowing data replication and independent storage scaling. - Source: dev.to / 5 months ago
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What are some alternatives?

When comparing fzf and Apache Flink, you can also consider the following products

fd - A simple, fast and user-friendly alternative to 'find'.

Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.

Bat - A cat(1) clone with wings.

Amazon Kinesis - Amazon Kinesis services make it easy to work with real-time streaming data in the AWS cloud.

fzy - A better fuzzy finder

Spring Framework - The Spring Framework provides a comprehensive programming and configuration model for modern Java-based enterprise applications - on any kind of deployment platform.