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Apache Flink VS Cushion

Compare Apache Flink VS Cushion and see what are their differences

Apache Flink logo Apache Flink

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

Cushion logo Cushion

A forecasting app for freelancers, get better insights
  • Apache Flink Landing page
    Landing page //
    2023-10-03
  • Cushion Landing page
    Landing page //
    2022-04-20

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

Cushion videos

REVIEW TẤT CẢ CUSHION CỦA TỚ | MY 16 CUSHION FOUNDATIONS | HƯƠNG WITCH

More videos:

  • Review - Cushion App Review 2021: $5M+ In Bank Fees Reversed!
  • Review - Những Tips khi Sử Dụng Cushion - Review 12 loại Cushion Ty yêu thích | Ty Lê

Category Popularity

0-100% (relative to Apache Flink and Cushion)
Big Data
100 100%
0% 0
Productivity
0 0%
100% 100
Stream Processing
100 100%
0% 0
Project Management
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, Apache Flink should be more popular than Cushion. It has been mentiond 30 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.

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 / 5 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 / 25 days 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 1 month 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 / 2 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 / 4 months ago
View more

Cushion mentions (6)

  • software for planning upcoming months work
    I used Cushion for this and I can’t recommend it enough. It does exactly what you’re describing without the need to build out a system in another project management software and it’s designed for freelancers out of the box. It also has built in invoicing and income projections for the year which I found indispensable for just…making sure I made enough money. It does cost money (I want to say $119 a year?) but for... Source: about 1 year ago
  • Insecure about finances
    Have you tried a service like https://cushionapp.com/? Source: about 1 year ago
  • What type of Shortcuts do you actually use?
    I have created several shortcuts for logging time and creating timers for my time tracker of choice, Cushion. Source: about 2 years ago
  • Every motherhecking productivity / business app is for teams!!! What’s a great great calendar / work scheduling app for freelancers?
    Cushionapp.com has great timelines and charts. Source: over 2 years ago
  • Looking for a great work management platform/app for my tiny creative agency. (Like Harvest, Cushion, etc)
    I’ve previously tried Harvest and found that it was just quite heavily geared towards teams (whereas I’m just one person). I’ve also tried Cushion (cushionapp.com), which does seem great and do most of what I want, but doesn’t integrate with Xero (thought it says it does - the integration doesn’t work). Source: over 2 years ago
View more

What are some alternatives?

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

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

Bonsai - One platform to streamline your entire business

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

Runway - A free, visual tool to help startup founders understand, manage and extend their cash runway.

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

Bookipi - Clean, simple way to save money with an app