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Apache Flink VS Insomnia REST

Compare Apache Flink VS Insomnia REST 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.

Insomnia REST logo Insomnia REST

The most intuitive cross-platform REST API Client 😴
  • Apache Flink Landing page
    Landing page //
    2023-10-03
  • Insomnia REST Landing page
    Landing page //
    2023-10-05

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

Insomnia REST videos

3 Reasons to use Insomnia REST Client in your Exploratory API Testing

More videos:

  • Tutorial - Insomnia REST Client Tutorial

Category Popularity

0-100% (relative to Apache Flink and Insomnia REST)
Big Data
100 100%
0% 0
API Tools
0 0%
100% 100
Stream Processing
100 100%
0% 0
Developer Tools
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Apache Flink and Insomnia REST

Apache Flink Reviews

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Insomnia REST Reviews

Top 10 HTTP Client and Web Debugging Proxy Tools (2023)
Insomnia REST is the best alternative for Postman. It has more than 350 open-source plugins, plus GraphQL built-in with multiple protocol support. Since GraphQL is an added value, you can fully automate the entire lifecycle of APIs, build and debug them efficiently and with ease.
15 Best Postman Alternatives for Automated API Testing [2022 Updated]
Insomnia by Kong enables you to deliver high-quality APIs through collaboration. This postman alternative also includes testing suites, which allow you to create functional tests and centralize APIs. With this platform’s streamlined API client, sending GraphQL, REST, and SOAP requests are simple. Defining variables such as authentication credentials allows you to manage...
Source: testsigma.com

Social recommendations and mentions

Based on our record, Insomnia REST should be more popular than Apache Flink. It has been mentiond 120 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 (29)

  • 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 / 8 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 / 22 days 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 / about 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
  • Go concurrency simplified. Part 4: Post office as a data pipeline
    Also, this knowledge applies to learning more about data engineering, as this field of software engineering relies heavily on the event-driven approach via tools like Spark, Flink, Kafka, etc. - Source: dev.to / 5 months ago
View more

Insomnia REST mentions (120)

  • Building a RESTful API with Node.js and Express
    Use tools like Postman or Insomnia to test the API endpoints and ensure they behave as expected. - Source: dev.to / about 2 months ago
  • Make your Azure OpenAI apps compliant with RBAC
    We will be performing all of the authentication requests manually, however for testing purposes, you might want to use an API testing tool such as Postman or Insomnia. - Source: dev.to / 2 months ago
  • Local automation
    For a very long time, the go-to tool was curl. Great, always available command line tool. Unfortunately, there is one small issue. It’s hard to keep requests and collect them in collections, it’s great for one-time shots or debugging, but for constant working with API could be painful. To solve it, I started working with tools like Postman/Insomnia. Then eh... Strange licensing model, or changes which occurred... - Source: dev.to / 3 months ago
  • Tools that Make Me Productive as a Software Engineer
    At first, I used Postman for testing APIs because it had a lot of features. But I switched to Insomnia because it was easier to use and kept everything organized. The big problem with Insomnia was that it deleted all my saved work when it made me create an account to keep using it. - Source: dev.to / 3 months ago
  • Different Levels of Project Documentation
    Often used for cases where a project exposes a REST or other type of API service. Open API is a popular method of documenting such API services. It can also be used along side tools such as Swagger Codegen to produce boilerplate code for API interaction / testing purposes. There may also be support files for popular API testing tools such as Postman or Insomnia. This makes it easier at a glance to see what data is... - Source: dev.to / 5 months ago
View more

What are some alternatives?

When comparing Apache Flink and Insomnia REST, 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.

Postman - The Collaboration Platform for API Development

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

Hoppscotch - Open source API development ecosystem

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

Paw.cloud - Paw is a REST client for Mac.