Software Alternatives & Reviews

Apache Spark VS Hangfire

Compare Apache Spark VS Hangfire and see what are their differences

Apache Spark logo Apache Spark

Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.

Hangfire logo Hangfire

An easy way to perform background processing in .NET and .NET Core applications.
  • Apache Spark Landing page
    Landing page //
    2021-12-31
  • Hangfire Landing page
    Landing page //
    2023-10-04

Apache Spark videos

Weekly Apache Spark live Code Review -- look at StringIndexer multi-col (Scala) & Python testing

More videos:

  • Review - What's New in Apache Spark 3.0.0
  • Review - Apache Spark for Data Engineering and Analysis - Overview

Hangfire videos

AK 47 Wasr Hangfire - shooter beware

Category Popularity

0-100% (relative to Apache Spark and Hangfire)
Databases
100 100%
0% 0
Data Integration
0 0%
100% 100
Big Data
100 100%
0% 0
Web Service Automation
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 Apache Spark and Hangfire

Apache Spark Reviews

15 data science tools to consider using in 2021
Apache Spark is an open source data processing and analytics engine that can handle large amounts of data -- upward of several petabytes, according to proponents. Spark's ability to rapidly process data has fueled significant growth in the use of the platform since it was created in 2009, helping to make the Spark project one of the largest open source communities among big...
Top 15 Kafka Alternatives Popular In 2021
Apache Spark is a well-known, general-purpose, open-source analytics engine for large-scale, core data processing. It is known for its high-performance quality for data processing – batch and streaming with the help of its DAG scheduler, query optimizer, and engine. Data streams are processed in real-time and hence it is quite fast and efficient. Its machine learning...
5 Best-Performing Tools that Build Real-Time Data Pipeline
Apache Spark is an open-source and flexible in-memory framework which serves as an alternative to map-reduce for handling batch, real-time analytics and data processing workloads. It provides native bindings for the Java, Scala, Python, and R programming languages, and supports SQL, streaming data, machine learning and graph processing. From its beginning in the AMPLab at...

Hangfire Reviews

We have no reviews of Hangfire yet.
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Social recommendations and mentions

Based on our record, Apache Spark seems to be a lot more popular than Hangfire. While we know about 56 links to Apache Spark, we've tracked only 5 mentions of Hangfire. 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.

Apache Spark mentions (56)

  • Groovy 🎷 Cheat Sheet - 01 Say "Hello" from Groovy
    Recently I had to revisit the "JVM languages universe" again. Yes, language(s), plural! Java isn't the only language that uses the JVM. I previously used Scala, which is a JVM language, to use Apache Spark for Data Engineering workloads, but this is for another post 😉. - Source: dev.to / about 2 months ago
  • 🦿🛴Smarcity garbage reporting automation w/ ollama
    Consume data into third party software (then let Open Search or Apache Spark or Apache Pinot) for analysis/datascience, GIS systems (so you can put reports on a map) or any ticket management system. - Source: dev.to / 3 months ago
  • Go concurrency simplified. Part 4: Post office as a data pipeline
    Also, this knowledge applies to learning more about data engineering, as this field of software engineering relies heavily on the event-driven approach via tools like Spark, Flink, Kafka, etc. - Source: dev.to / 4 months ago
  • Five Apache projects you probably didn't know about
    Apache SeaTunnel is a data integration platform that offers the three pillars of data pipelines: sources, transforms, and sinks. It offers an abstract API over three possible engines: the Zeta engine from SeaTunnel or a wrapper around Apache Spark or Apache Flink. Be careful, as each engine comes with its own set of features. - Source: dev.to / 5 months ago
  • Spark – A micro framework for creating web applications in Kotlin and Java
    A JVM based framework named "Spark", when https://spark.apache.org exists? - Source: Hacker News / 11 months ago
View more

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: almost 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: almost 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

What are some alternatives?

When comparing Apache Spark and Hangfire, you can also consider the following products

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

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

Apache Airflow - Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.

Enqueue It - Easy and scalable solution for manage and execute background tasks seamlessly in .NET applications. It allows you to schedule, queue, and process your jobs and microservices efficiently.

Hadoop - Open-source software for reliable, scalable, distributed computing

RabbitMQ - RabbitMQ is an open source message broker software.