Software Alternatives & Reviews

Apache Spark VS Amazon AWS

Compare Apache Spark VS Amazon AWS 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.

Amazon AWS logo Amazon AWS

Amazon Web Services offers reliable, scalable, and inexpensive cloud computing services. Free to join, pay only for what you use.
  • Apache Spark Landing page
    Landing page //
    2021-12-31
  • Amazon AWS Landing page
    Landing page //
    2022-01-29

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

Amazon AWS videos

Amazon Web Services vs Google Cloud Platform - AWS vs GCP | Difference Between GCP and AWS

More videos:

  • Review - Are AWS Certifications worth it?
  • Review - AWS Certified Solutions Architect Associate Certification Will Get You Paid!

Category Popularity

0-100% (relative to Apache Spark and Amazon AWS)
Databases
100 100%
0% 0
Cloud Computing
0 0%
100% 100
Big Data
100 100%
0% 0
Cloud Infrastructure
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 Amazon AWS

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...

Amazon AWS Reviews

  1. The best cloud platform out there

    You could say a lot of things about AWS, but among the cloud platforms (and I've used quite a few) AWS takes the cake. It is logically structured, you can get through its documentation relatively easily, you have a great variety of tools and services to choose from [from AWS itself and from third-party developers in their marketplace]. There is a learning curve, there is quite a lot of it, but it is still way easier than some other platforms. I've used and abused AWS and EC2 specifically and for me it is the best.

    👍 Pros:    Great documentation|Website structure visualization|You have control over everything|Flexibility
    👎 Cons:    Learning curve|A lot of dashboards for different things

Top 15 MuleSoft Competitors and Alternatives
API Gateway private endpoints allow AWS customers to use API endpoints inside their VPC. They can leverage Route 53 resolver endpoints and hybrid connectivity to access APIs and integrated backend services from on-premises clients.
Best Dedicated Server Providers in India: A Comparative Analysis
Dedicated hosts on Amazon EC2 are physical servers that are completely dedicated to meeting corporate compliance standards. With AWS, you can create EC2 instances on a dedicated server. The flexibility offered by Amazon EC2 is definitely one of its biggest advantages, along with high scalability. Apart from that, it isn’t much better than dedicated servers.
Source: moralstory.org
Best Dedicated Server Providers for E-commerce Businesses in India
The dedicated server options from Amazon Web Services (AWS), a well-known brand in the tech industry, are equally excellent. AWS’s elastic infrastructure can smoothly adjust to your demands whether your e-commerce business encounters variable traffic or you expect quick development. AWS guarantees that the speed and performance of your website will always be unmatched thanks...
The Best Dedicated Server Operating System for UK-Based Business
Cloud computing behemoth AWS is renowned for its extensive infrastructure and scalability choices. You can make use of AWS’s numerous data centers, which are positioned strategically to offer low-latency services all across the UK.
Source: featurestic.com
The Best Dedicated Servers for Enterprise Businesses in India: Scalable and Reliable
The extensive selection of cloud-based solutions offered by AWS is one of its main advantages. AWS provides a wide range of cloud services, including computing power, storage choices, databases, machine learning, analytics tools, and dedicated servers. This adaptability enables businesses to create scalable, flexible, and affordable solutions customized to their needs.
Source: india07.in

Social recommendations and mentions

Based on our record, Amazon AWS should be more popular than Apache Spark. It has been mentiond 360 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

Amazon AWS mentions (360)

  • Server Configuration and Deployment for Java Applications in AWS
    If you don’t already have an AWS account, sign up for one at https://aws.amazon.com/. Once you have an account, log in and go to the Elastic Beanstalk service. - Source: dev.to / 11 days ago
  • Upgrading Hundreds of Kubernetes Clusters
    Pierre: Qovery will add Google Cloud Platform (GCP) by year-end, joining AWS and Scaleway! This expansion gives you more choices for your cloud needs. - Source: dev.to / 30 days ago
  • Find It Fast: Streamline Phone Number Searches with OpenSearch
    Amazon Web Services (AWS) Account: Access to an AWS account is necessary to utilize Amazon OpenSearch Service. If you don't have one, you can sign up for an AWS account here. - Source: dev.to / about 1 month ago
  • How to Deploy and Secure a Next.js API on AWS
    An AWS account. If you don't have one, you can follow these instructions to create an account. - Source: dev.to / 3 months ago
  • How to Build & Deploy Scalable Microservices with NodeJS, TypeScript and Docker || A Comprehesive Guide
    Head over to AWS and login or create a new account. Note that, AWS has a 12 month free tier and allows customers to use the product for free up to specified limits. Additionally, creating a new account involves submitting your credit card details. - Source: dev.to / 3 months ago
View more

What are some alternatives?

When comparing Apache Spark and Amazon AWS, 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.

DigitalOcean - Simplifying cloud hosting. Deploy an SSD cloud server in 55 seconds.

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

Microsoft Azure - Windows Azure and SQL Azure enable you to build, host and scale applications in Microsoft datacenters.

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

Linode - We make it simple to develop, deploy, and scale cloud infrastructure at the best price-to-performance ratio in the market.Sign up to Linode through SaaSHub and get a $100 in credit!