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Learn MorePros of Jooby
Pros of Ktor
Pros of Jooby
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Pros of Ktor
- Simple & Small8
- Kotlin native7
- Light weight6
- High performance3
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Cons of Jooby
Cons of Ktor
Cons of Jooby
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Cons of Ktor
- Not self-explanatory: relies on Kotlin "magic"2
- Relatively fresh technology - not a lot of expertise2
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- No public GitHub repository available -
What is Jooby?
It is a scalable and fast micro web framework build on top of the most used NIO web servers. It's very straightforward and modular, clearly designed for the modern day's web architecture. It comes with support for Javascript and Kotlin too.
What is Ktor?
It is a framework for building asynchronous servers and clients in connected systems using the Kotlin programming language.
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Jobs that mention Jooby and Ktor as a desired skillset
What companies use Jooby?
What companies use Ktor?
What companies use Jooby?
What companies use Ktor?
See which teams inside your own company are using Jooby or Ktor.
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What tools integrate with Jooby?
What tools integrate with Ktor?
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What are some alternatives to Jooby and Ktor?
Spring Boot
Spring Boot makes it easy to create stand-alone, production-grade Spring based Applications that you can "just run". We take an opinionated view of the Spring platform and third-party libraries so you can get started with minimum fuss. Most Spring Boot applications need very little Spring configuration.
Spring
A key element of Spring is infrastructural support at the application level: Spring focuses on the "plumbing" of enterprise applications so that teams can focus on application-level business logic, without unnecessary ties to specific deployment environments.
Apache Spark
Spark is a fast and general processing engine compatible with Hadoop data. It can run in Hadoop clusters through YARN or Spark's standalone mode, and it can process data in HDFS, HBase, Cassandra, Hive, and any Hadoop InputFormat. It is designed to perform both batch processing (similar to MapReduce) and new workloads like streaming, interactive queries, and machine learning.
Micronaut Framework
It is a modern, JVM-based, full-stack framework for building modular, easily testable microservice and serverless applications. It features a Dependency Injection and Aspect-Oriented Programming runtime that uses no reflection.
Node.js
Node.js uses an event-driven, non-blocking I/O model that makes it lightweight and efficient, perfect for data-intensive real-time applications that run across distributed devices.