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Amazon EMR VS Rakam

Compare Amazon EMR VS Rakam and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Amazon EMR logo Amazon EMR

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

Rakam logo Rakam

Custom analytics platform
  • Amazon EMR Landing page
    Landing page //
    2023-04-02
  • Rakam Landing page
    Landing page //
    2022-01-21

Amazon EMR videos

+ Add

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

Rakam videos

+ Add

Jasmine Kena Halau dari Kedai?? Padah sesuka hati rakam tempat orang tanpa izin

More videos:

  • Review - Eedo Rakam Aado Rakam Movie Public Response / Review || Vishnu, Sonarika, Raj Tarun, Hebah Patel
  • Review - REVIEW GoPro HERO 9 BLACK : BUKA KOTAK TERUS RAKAM VIDEO GUNA GoPRO HERO 9 BLACK

Category Popularity

0-100% (relative to Amazon EMR and Rakam)

Amazon EMR

Rakam

Data Dashboard
61 61%
Data Dashboard
39% 39
Big Data
100 100%
Big Data
0% 0
Big Data Analytics
0 0%
Big Data Analytics
100% 100
Data Warehousing
100 100%
Data Warehousing
0% 0

User comments

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Social recommendations and mentions

Based on our record, Amazon EMR should be more popular than Rakam. 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: over 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: about 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

Rakam mentions (1)

  • Show HN: Lightdash – An open source Looker alternative
    Well done! I was actually looking for an open source LookML a while back and found Rakam[0]. It seems they added the dbt layer after the fact while you started with that concept. Product looks slick, good luck? By the way, what happened with Hubble? 0 - https://rakam.io/. - Source: Hacker News / about 3 years ago

What are some alternatives?

When comparing Amazon EMR and Rakam, you can also consider the following products

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

Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.

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

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

Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.

Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.‎What is Apache Spark?

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