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vert.x VS Upsolver

Compare vert.x VS Upsolver and see what are their differences

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vert.x logo vert.x

From Wikipedia, the free encyclopedia

Upsolver logo 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 Landing page
    Landing page //
    2022-06-12
  • Upsolver Landing page
    Landing page //
    2023-08-06

vert.x videos

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From Zero to Back End in 45 Minutes with Eclipse Vert.x

Upsolver videos

No Upsolver videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to vert.x and Upsolver)

vert.x

Upsolver

Web Frameworks
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Web Frameworks
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Online Services
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Online Services
100% 100
Python Web Framework
100 100%
Python Web Framework
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Business & Commerce
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Business & Commerce
100% 100

User comments

Share your experience with using vert.x and Upsolver. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare vert.x and Upsolver

vert.x Reviews

17 Popular Java Frameworks for 2023: Pros, cons, and more
As Vert.x is an event-driven and non-blocking framework, it can handle a lot of concurrencies using only a minimal number of threads. Vert.x is also quite lightweight, with the core framework weighing only about 650 KB. It has a modular architecture that allows you to use only the modules you need so that your app can stay as slick as possible. Vert.x is an ideal choice if...
Source: raygun.com

Upsolver Reviews

Top 10 AWS ETL Tools and How to Choose the Best One | Visual Flow
In this way, Upsolver removes the complexity of Big Data and Real-Time projects and reduces their use time from several weeks or months to several hours. With the latest Volcano technology, this tool queries the entire data lake in less than a millisecond and stores 10x the amount of data in RAM.
Source: visual-flow.com

Social recommendations and mentions

Based on our record, vert.x seems to be a lot more popular than Upsolver. While we know about 26 links to vert.x, we've tracked only 1 mention of Upsolver. 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.

vert.x mentions (26)

  • Spark – A web micro framework for Java and Kotlin
    Https://vertx.io/ It's actively maintained with full time developers, performant, supports Kotlin out of the box, and has more features? - Source: Hacker News / 3 months ago
  • Reactive database access on the JVM
    Hibernate Reactive integrates with Vert.x, but an extension allows to bridge to Project Reactor if wanted. - Source: dev.to / 10 months ago
  • What's the state of server-side frameworks with Kotlin support today for small teams?
    Personally, I like vertx, it is modular and you can pick and choose what you need. It also has support for kotlin coroutines, https://vertx.io/, https://github.com/vert-x3/vertx-examples/tree/4.x/kotlin-examples. Source: about 1 year ago
  • Anything close beam/otp for other languages?
    I really like Eclipse Vert.x... As both an Erlang dev and Java dev, it's a great synergy and soon to have support for Virtual Threads similar to BEAM. Source: about 1 year ago
  • Favorite hidden gem library?
    Eclipse Vert.x - Add amazing Async to any Java stack. Source: over 1 year ago
View more

Upsolver mentions (1)

  • Anyone Used Dremio?
    Most of the pains of using query engines over object storage are in the ongoing management of files (partitioning, compression, merging many small files into fewer larger files) Cloud data lakes are tremendously valuable when it comes to exploratory and ad-hoc data analysis. If you really require sub-second queries on structured data, you're better off with a data warehouse. I'm not totally clear on your use... Source: over 2 years ago

What are some alternatives?

When comparing vert.x and Upsolver, you can also consider the following products

Micronaut Framework - Build modular easily testable microservice & serverless apps

IRI Voracity - IRI Voracity is an automated data management platform that helps you extract, transform and load (ETL) your data lake to any data warehouse or cloud.

Javalin - Simple REST APIs for Java and Kotlin

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.

helidon - Helidon Project, Java libraries crafted for Microservices

Mozart Data - The easiest way for teams to build a Modern Data Stack

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