Software Alternatives & Reviews

Amazon EMR VS Make.com

Compare Amazon EMR VS Make.com and see what are their differences

Amazon EMR logo Amazon EMR

Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.

Make.com logo Make.com

Tool for workflow automation (Former Integromat)
  • Amazon EMR Landing page
    Landing page //
    2023-04-02
  • Make.com Landing page
    Landing page //
    2022-07-05

Amazon EMR videos

Amazon EMR Masterclass

More videos:

  • Review - Deep Dive into What’s New in Amazon EMR - AWS Online Tech Talks
  • Tutorial - How to use Apache Hive and DynamoDB using Amazon EMR

Make.com videos

Zapier vs Integromat - Quick Comparison Review

More videos:

  • Review - Integromat feature tour
  • Review - Introduction to Integromat

Category Popularity

0-100% (relative to Amazon EMR and Make.com)
Data Dashboard
100 100%
0% 0
Web Service Automation
0 0%
100% 100
Big Data
100 100%
0% 0
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 Amazon EMR and Make.com

Amazon EMR Reviews

We have no reviews of Amazon EMR yet.
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Make.com Reviews

Top 9 MuleSoft Alternatives & Competitors in 2024
Make, one of the best Mulesoft alternatives, the ultimate IT process automation tool for enhancing efficiency, productivity, and collaboration. By automating routine tasks, integrating with existing infrastructure, and offering powerful workflow automation, Make empowers your team to streamline processes and achieve remarkable results.
Source: www.zluri.com
Zapier vs. Make.com: Which Automation Tool Will Take the Business Lead?
Make.com offers a cost-effective option for those looking for a business process automation solution, even if it may compromise usability and integration. From your scenario, Make.com seems like a realistic alternative for those with a more limited budget or those willing to work with additional API documentation and webhooks instead of the broader integration that Zapier...
7 Best Zapier Alternatives to Meet Your Integration Needs
Make.com is no different than other tools in this list given that it is a low-code platform, has a drag-and-drop interface, and enables users to automate workflows — which it calls “scenarios”. Make was known as Integromat before its rebranding in 2022, post which they have heavily invested in revamping their website and app UI.
13 data integration tools: a comparative analysis of the top solutions
Make.com is a highly sought-after tool that allows for smooth data integration and transformation. It boasts an array of functionalities including custom app creation, storage for execution logs, and access to over 300 Make API endpoints, expediting the automation of tasks with ease.
Source: blog.n8n.io
10 n8n.io Alternatives
Integromat is a robust integration tool that enables global folks to achieve more in less time with fewer people in the squad. This super simple and effective integration tool enables users to visualize, automate, design, and modify work within minutes. You can connect applications to automate workflows with some simple clicks using it. No credit card is required, and no...

Social recommendations and mentions

Based on our record, Amazon EMR seems to be more popular. It has been mentiond 10 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.

Amazon EMR mentions (10)

  • 5 Best Practices For Data Integration To Boost ROI And Efficiency
    There are different ways to implement parallel dataflows, such as using parallel data processing frameworks like Apache Hadoop, Apache Spark, and Apache Flink, or using cloud-based services like Amazon EMR and Google Cloud Dataflow. It is also possible to use parallel dataflow frameworks to handle big data and distributed computing, like Apache Nifi and Apache Kafka. Source: about 1 year ago
  • What compute service i should use? Advice for a duck-tape kind of guy
    I'm going to guess you want something like EMR. Which can take large data sets segment it across multiple executors and coalesce the data back into a final dataset. Source: almost 2 years ago
  • Processing a large text file containing millions of records.
    This is exactly the kind of workload EMR was made for, you can even run it serverless nowadays. Athena might be a viable option as well. Source: almost 2 years ago
  • How to use Spark and Pandas to prepare big data
    Apache Spark is one of the most actively developed open-source projects in big data. The following code examples require that you have Spark set up and can execute Python code using the PySpark library. The examples also require that you have your data in Amazon S3 (Simple Storage Service). All this is set up on AWS EMR (Elastic MapReduce). - Source: dev.to / over 2 years ago
  • Beginner building a Hadoop cluster
    Check out https://aws.amazon.com/emr/. Source: about 2 years ago
View more

Make.com mentions (0)

We have not tracked any mentions of Make.com yet. Tracking of Make.com recommendations started around Mar 2021.

What are some alternatives?

When comparing Amazon EMR and Make.com, you can also consider the following products

Google BigQuery - A fully managed data warehouse for large-scale data analytics.

Zapier - Connect the apps you use everyday to automate your work and be more productive. 1000+ apps and easy integrations - get started in minutes.

Google Cloud Dataflow - Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.

ifttt - IFTTT puts the internet to work for you. Create simple connections between the products you use every day.

Google Cloud Dataproc - Managed Apache Spark and Apache Hadoop service which is fast, easy to use, and low cost

Microsoft Power Automate - Microsoft Power Automate is an automation platform that integrates DPA, RPA, and process mining. It lets you automate your organization at scale using low-code and AI.