Software Alternatives & Reviews

Apache Spark VS AWS Elastic Load Balancing

Compare Apache Spark VS AWS Elastic Load Balancing 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.

AWS Elastic Load Balancing logo AWS Elastic Load Balancing

Amazon ELB automatically distributes incoming application traffic across multiple Amazon EC2 instances in the cloud.
  • Apache Spark Landing page
    Landing page //
    2021-12-31
  • AWS Elastic Load Balancing Landing page
    Landing page //
    2023-04-27

Apache Spark

Categories
  • Databases
  • Big Data
  • Big Data Analytics
  • Big Data Infrastructure
Website spark.apache.org
Details $

AWS Elastic Load Balancing

Categories
  • Web Servers
  • Web And Application Servers
  • Load Balancer / Reverse Proxy
  • Network & Admin
Website aws.amazon.com
Details $-

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

AWS Elastic Load Balancing videos

No AWS Elastic Load Balancing videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Apache Spark and AWS Elastic Load Balancing)
Databases
100 100%
0% 0
Web Servers
0 0%
100% 100
Big Data
100 100%
0% 0
Web And Application Servers

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 AWS Elastic Load Balancing

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...

AWS Elastic Load Balancing Reviews

We have no reviews of AWS Elastic Load Balancing yet.
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Social recommendations and mentions

Based on our record, Apache Spark should be more popular than AWS Elastic Load Balancing. 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 / 4 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 / 10 months ago
View more

AWS Elastic Load Balancing mentions (22)

  • A Ride Through Optimising Legacy Spring Boot Services For High Throughput
    Use load balancers and distribute load accordingly to your redundant spring boot services. - Source: dev.to / 26 days ago
  • DevSecOps with AWS- Ephemeral Environments – Creating test Environments On-Demand - Part 1
    • Amazon Elastic Container Service (Amazon ECS) is a fully managed container orchestration service that helps you easily deploy, manage, and scale containerized applications. • AWS Fargate is a serverless, pay-as-you-go compute engine that lets you focus on building applications without managing servers. AWS Fargate is compatible with both Amazon Elastic Container Service (Amazon ECS) and Amazon Elastic... - Source: dev.to / 6 months ago
  • AWS wastes money.
    Elite Dangerous. With proper setup, AWS works great. And I am sure there are hundreds or even thousands of games using them, but not all are willing to share that information. Source: 11 months ago
  • Fortifying Your Three-Tier Application: Proactive Measures for Strengthening Your Application Security
    Terraform templates can be used to automate the deployment and configuration of the Presentation Tier components. This Terraform code snippet can be used to deploy an AWS Elastic Load Balancer (ELB):. - Source: dev.to / 11 months ago
  • What is something that you don't understand, but at this point are too embarrassed to ask?
    Assuming you already have two LBs (as above), most services will offer auto scaling of some description to handle this (e.g., https://aws.amazon.com/elasticloadbalancing/). Source: 12 months ago
View more

What are some alternatives?

When comparing Apache Spark and AWS Elastic Load Balancing, 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.

Traefik - Load Balancer / Reverse Proxy

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

Azure Traffic Manager - Microsoft Azure Traffic Manager allows you to control the distribution of user traffic for service endpoints in different datacenters.