Software Alternatives & Reviews

Apache Spark VS Traefik

Compare Apache Spark VS Traefik 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.

Traefik logo Traefik

Load Balancer / Reverse Proxy
  • Apache Spark Landing page
    Landing page //
    2021-12-31
  • Traefik Landing page
    Landing page //
    2023-07-13

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

Traefik videos

Traefik: A Scalable and Highly Available Edge Router by Damien Duportalt

More videos:

  • Review - Playing around with Traefik
  • Review - Rocket.Chat on Amazon EKS with Traefik. By Aaron Ogle, Lead Cloud Architect

Category Popularity

0-100% (relative to Apache Spark and Traefik)
Databases
100 100%
0% 0
Web Servers
0 0%
100% 100
Big Data
100 100%
0% 0
Web And Application Servers

User comments

Share your experience with using Apache Spark and Traefik. 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 Apache Spark and Traefik

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...

Traefik Reviews

10 Awesome Open Source Load Balancers
Traefik is a reverse proxy and L7 load balancer. Written in Go, it’s designed to support microservices and container-powered services in a distributed system. It has native support for Docker Swarm and Kubernetes orchestration, as well as service registries such as etcd or Consul. It also offers extensive support for WebSocket, HTTP/2, and gRPC services. Traefik integrates...
Top 5 Open-Source Load Balancers 2021
The modern and efficient, Traefik is an open-source reverse proxy and load balancer that provides a simple routing platform without engaging any complexities. Most popular among the Github Fanclub, Traefik owns approximately 27.7k Github stars.
Source: linuxways.net
The 5 Best Open Source Load Balancers
Traefik bills itself as the “cloud native edge router.” It’s a modern microservices-focused application load balancer and reverse proxy written in Golang. With its emphasis on support for several modern container orchestration platforms, batteries-included logging, and several popular metric formats, Traefik is a top choice for container-based microservices architectures.
Source: logz.io

Social recommendations and mentions

Based on our record, Apache Spark should be more popular than Traefik. It has been mentiond 56 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.

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

Traefik mentions (34)

  • Running Docker based web applications in Hashicorp Nomad with Traefik Load balancing
    In previous post, we discussed creating a basic Nomad cluster in the Vultr cloud. Here, we will use the cluster created to deploy a load-balanced sample web app using the service discovery capability of Nomad and its native integration with the Traefik load balancer. The source code is available here for the reference. - Source: dev.to / about 2 months ago
  • Ask HN: How do you come up with side project ideas in 2024?
    Traefik (https://traefik.io/traefik) is also pretty good at this. I've used it to get certs auto-renewed for my projects. - Source: Hacker News / 3 months ago
  • Deploying Your Container with HTTPS Using Traefik as a Reverse Proxy
    In the modern landscape of web applications and services, ensuring secure and efficient traffic routing is crucial. Reverse proxies play a pivotal role in handling incoming requests, enabling SSL termination, and load balancing, all while enhancing the overall security and scalability of your infrastructure. One of the most popular and feature-rich reverse proxies is Traefik. - Source: dev.to / 9 months ago
  • Best way to deploy 8 different webs
    Yes, there's a small downtime when I deploy the app, but I am considering using Traefik to hold requests while the new build is up and running and ready to accept incoming requests. Source: 10 months ago
  • Raspberry Pi 3b+ enough for proxy server
    I have seen / heard good things abut Traefik [Traefik site] but not used it . Source: 10 months ago
View more

What are some alternatives?

When comparing Apache Spark and Traefik, 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.

nginx - A high performance free open source web server powering busiest sites on the Internet.

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

AWS Elastic Load Balancing - Amazon ELB automatically distributes incoming application traffic across multiple Amazon EC2 instances in the cloud.

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

Haproxy - Reliable, High Performance TCP/HTTP Load Balancer