Software Alternatives & Reviews

vert.x VS Amazon Kinesis

Compare vert.x VS Amazon Kinesis and see what are their differences

vert.x logo vert.x

From Wikipedia, the free encyclopedia

Amazon Kinesis logo Amazon Kinesis

Amazon Kinesis services make it easy to work with real-time streaming data in the AWS cloud.
  • vert.x Landing page
    Landing page //
    2022-06-12
  • Amazon Kinesis Landing page
    Landing page //
    2022-01-28

vert.x videos

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

Amazon Kinesis videos

AWS Big Data - Amazon Kinesis Analytics Introduction and Demonstration

More videos:

  • Review - Analyzing Data Streams in Real Time with Amazon Kinesis: PNNL's Serverless Data Lake Ingestion

Category Popularity

0-100% (relative to vert.x and Amazon Kinesis)
Web Frameworks
100 100%
0% 0
Stream Processing
0 0%
100% 100
Python Web Framework
100 100%
0% 0
Data Management
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 vert.x and Amazon Kinesis

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

Amazon Kinesis Reviews

Top 10 AWS ETL Tools and How to Choose the Best One | Visual Flow
Amazon Kinesis was built to handle massive amounts of data, allowing it to be uploaded to a Redshift cluster. After the event stream is read and the data is transformed, it is placed into a table in Amazon SCTS in an Amazon ES domain. Thus, there is no need to use a server (instead, you need to integrate AWS ETL and AWS Lambda).
Source: visual-flow.com
6 Best Kafka Alternatives: 2022’s Must-know List
Kinesis enables streaming applications to be managed without additional infrastructure management. This highly scalable platform can process data from various sources with low latency. Known for its speed, ease of use, reliability, and capability of cross-platform replication, Amazon Kinesis is one of the most popular Kafka Alternatives. It is used for many purposes,...
Source: hevodata.com
Top 15 Kafka Alternatives Popular In 2021
Amazon Kinesis, also known as Kinesis Streams, is a popular alternative to Kafka, for collecting, processing, and analyzing video and data streams in real-time. It offers timely and insightful information, streaming data in a cost-effective manner with complete flexibility and scalability. It is easy to ingest data encompassing audios, videos, app logs, etc. It offers an...
16 Top Big Data Analytics Tools You Should Know About
Amazon Kinesis is a massively scalable, cloud-based analytics service which is designed for real-time applications.

Social recommendations and mentions

vert.x might be a bit more popular than Amazon Kinesis. We know about 26 links to it since March 2021 and only 22 links to Amazon Kinesis. 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

Amazon Kinesis mentions (22)

  • AWS DEV OPS Professional Exam short notes
    When you see Amazon Kinesis as an option, this becomes the ideal option to process data in real time. Amazon Kinesis makes it easy to collect, process, and analyze real-time, streaming data so you can get timely insights and react quickly to new information. Amazon Kinesis offers key capabilities to cost effectively process streaming data at any scale, along with the flexibility to choose the tools that best suit... - Source: dev.to / about 2 months ago
  • Querying microservices in real-time with materialized views
    RisingWave is an open-source streaming database that has built-in fully-managed CDC source connectors for various databases, also it can collect data from other sources such Kafka, Pulsar, Kinesis, or Redpanda and it allows you to query real-time streams using SQL. You can get a materialized view that is always up-to-date. - Source: dev.to / about 1 year ago
  • How Streaming database differs from a Traditional database?
    For example, RisingWave is one of the fastest-growing open-source streaming databases that can ingest data from Apache Kafka, Apache Pulsar, Amazon Kinesis, Redpanda, and databases via native Change data capture connections or using Debezium connectors to MySQL and PostgreSQL sources. Previously, I wrote a blog post about how to choose the right streaming database that discusses some key factors that you should... - Source: dev.to / about 1 year ago
  • Query Real Time Data in Kafka Using SQL
    RisingWave is an open-source distributed SQL database for stream processing. RisingWave accepts data from sources like Apache Kafka, Apache Pulsar, Amazon Kinesis, Redpanda, and databases via native Change data capture connections to MySQL and PostgreSQL sources. It uses the concept of materialized view that involves caching the outcome of your query operations and it is quite efficient for long-running stream... - Source: dev.to / about 1 year ago
  • How to choose the right streaming database
    You can ingest data from different data sources such as message brokers Kafka, Redpanda, Kinesis, Pulsar, or databases MySQL or PostgreSQL using their Change Data Capture (CDC) which is the process of identifying and capturing data changes. - Source: dev.to / about 1 year ago
View more

What are some alternatives?

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

Micronaut Framework - Build modular easily testable microservice & serverless apps

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

Javalin - Simple REST APIs for Java and Kotlin

Confluent - Confluent offers a real-time data platform built around Apache Kafka.

helidon - Helidon Project, Java libraries crafted for Microservices

Apache Kafka - Apache Kafka is an open-source message broker project developed by the Apache Software Foundation written in Scala.