Software Alternatives, Accelerators & Startups

Hangfire VS Amazon Kinesis

Compare Hangfire VS Amazon Kinesis and see what are their differences

Hangfire logo Hangfire

An easy way to perform background processing in .NET and .NET Core applications.

Amazon Kinesis logo Amazon Kinesis

Amazon Kinesis services make it easy to work with real-time streaming data in the AWS cloud.
  • Hangfire Landing page
    Landing page //
    2023-10-04
  • Amazon Kinesis Landing page
    Landing page //
    2022-01-28

Hangfire videos

AK 47 Wasr Hangfire - shooter beware

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 Hangfire and Amazon Kinesis)
Data Integration
54 54%
46% 46
Stream Processing
22 22%
78% 78
Web Service Automation
100 100%
0% 0
Data Management
0 0%
100% 100

User comments

Share your experience with using Hangfire and Amazon Kinesis. For example, how are they different and which one is better?
Log in or Post with

Reviews

These are some of the external sources and on-site user reviews we've used to compare Hangfire and Amazon Kinesis

Hangfire Reviews

We have no reviews of Hangfire yet.
Be the first one to post

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

Based on our record, Amazon Kinesis should be more popular than Hangfire. It has been mentiond 23 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.

Hangfire mentions (5)

  • Do I need message queues for sending emails/texts via services like SendGrid, AWS SES, Twilio etc.? How do you decide if you need message queues or not? What questions do you ask yourself?
    Hangfire (https://hangfire.io) includes default exception handling and is very extensible, I think it's a good mid-level choice and a good alternative to other queue mechanism, if you can't afford to host a separated queue service or can't manage a separated service; also scales pretty well (you can have multiple servers handling the same background job queue, or different queues). It runs on Sql Server and MySql... Source: almost 2 years ago
  • jsonb in postgres and should I use it or not?
    I used to just use hangfire.io in .net and worked wonderfully for any long running tasks or schedules. Had a great queuing system, UI to know if they failed , etc. That's how I'd send emails, pdf's, and other things along that nature. Then if it were more just a db related operation, just setup a schedule in mssql job service. Source: about 2 years ago
  • How can In make a function run at a certain date in the future?
    You can use hangfire for cronjob, to run at a time in future, you can use Hangfire.Schedule(jobid, datetime). Source: about 2 years ago
  • How to handle processing of an entity through different states?
    So another option is to use something like https://hangfire.io to pull the jobs and process them? Source: about 2 years ago
  • How to update database in a Parallel.For loop?
    I've got a fairly large process I need to handle in background on my .net core web app so I've exported it to a background task using Hangfire. Source: almost 3 years ago

Amazon Kinesis mentions (23)

  • Event-Driven Architecture on AWS
    Event Consumers: Services that actively listen for events and respond accordingly. These consumers can be easily implemented using microservices, AWS Lambda or Amazon Kinesis (for ingesting, processing, and analyzing streaming data in real-time). - Source: dev.to / about 1 month ago
  • 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 / 3 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
View more

What are some alternatives?

When comparing Hangfire and Amazon Kinesis, you can also consider the following products

Sidekiq - Sidekiq is a simple, efficient framework for background job processing in Ruby

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

Resque - Resque is a Redis-backed Ruby library for creating background jobs, placing them on multiple queues, and processing them later.

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

RabbitMQ - RabbitMQ is an open source message broker software.

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