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Lyftrondata VS Javalin

Compare Lyftrondata VS Javalin and see what are their differences

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Contents:
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  2. » Videos
  3. » Reviews
  4. » Alternatives

Lyftrondata logo Lyftrondata

Lyftrondata is an end-to-end data delivery platform, providing the right digital transformation having rapid automation and optimizations in place, so one can do better management of their inventory.

Javalin logo Javalin

Simple REST APIs for Java and Kotlin
  • Lyftrondata Landing page
    Landing page //
    2023-05-18
  • Javalin Landing page
    Landing page //
    2022-10-26

Lyftrondata videos

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Learn How IT Renew Builds Digital Transformation with Lyftrondata, Azure Sql Warehouse & Tableau

More videos:

  • Review - Learn How IT Renew Builds Digital Transformation Capabilities with Lyftrondata & Tableau

Javalin videos

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Category Popularity

0-100% (relative to Lyftrondata and Javalin)

Lyftrondata

Javalin

Business & Commerce
100 100%
Business & Commerce
0% 0
Web Frameworks
0 0%
Web Frameworks
100% 100
Office & Productivity
100 100%
Office & Productivity
0% 0
Developer Tools
0 0%
Developer Tools
100% 100

User comments

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Social recommendations and mentions

Based on our record, Javalin seems to be more popular. It has been mentiond 33 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.

Lyftrondata mentions (0)

We have not tracked any mentions of Lyftrondata yet. Tracking of Lyftrondata recommendations started around Feb 2022.

Javalin mentions (33)

  • Spark – A web micro framework for Java and Kotlin
    I'd recommend Javalin (https://javalin.io/) instead. Same idea, only executed better and it is actively maintained. - Source: Hacker News / 4 months ago
  • Spark – A web micro framework for Java and Kotlin
    SparkJava has an actively developed fork/successor called Javalin[1]. It's straightforward to convert from SparkJava to Javalin. The latter is written in Kotlin, but works fine with ordinary Java. While the rest of the Java world was devolving into annotation hell, AOP and other nightmares, these Java microframeworks showcased what happens when you forego legacy Java and leverage modern Java language features... - Source: Hacker News / 4 months ago
  • Show HN: Zero-dependency Java framework out of beta
    The size statistics page is super cool: https://github.com/byronka/minum/blob/master/docs/size_comparisons.md Aside from that, I've also had good experiences with Dropwizard - which is way simpler than Spring Boot but at the same time uses a bunch of idiomatic packages (like Jetty, Jersey, Jackson, Logback and so on): https://www.dropwizard.io/en/stable/ I do wonder whether Minum would ever end up on the... - Source: Hacker News / 8 months ago
  • Java 21 Released
    One of the most common web frameworks used is Spring Boot - here is their quickstart: https://spring.io/quickstart Newer alternatives are: https://micronaut.io/ and https://quarkus.io/ If you want to have something really simple look at Javalin: https://javalin.io/. - Source: Hacker News / 9 months ago
  • Helidon Níma is the first Java microservices framework based on virtual threads
    Counter-example: https://javalin.io/ uses Servlets, and seems to be doing quite fine without annotations. - Source: Hacker News / 10 months ago
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What are some alternatives?

When comparing Lyftrondata and Javalin, you can also consider the following products

Upsolver - Upsolver is a robust Data Lake Platform that simplifies big & streaming data integration, management and preparation on premise (HDFS) or in the cloud (AWS, Azure, GCP).

vert.x - From Wikipedia, the free encyclopedia

Kylo - Kylo is an end-to-end data lake management software that provides data from many sources in an automated fashion and optimizes it.

Spark Framework - Spark Framework is a simple and lightweight Java web framework built for rapid development.

Zaloni Data Platform - Get self-service data from a platform that accelerates business insights. Use data from any source, anywhere: the cloud, on-premises, multi-cloud or hybrid.

Micronaut Framework - Build modular easily testable microservice & serverless apps

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