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Dremio VS Amazon EMR

Compare Dremio VS Amazon EMR and see what are their differences

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

Dremio logo Dremio

Get more value from your data, faster. Dremio makes your data engineers more productive, and your data consumers more self-sufficient.

Amazon EMR logo Amazon EMR

Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.
  • Dremio Landing page
    Landing page //
    2023-08-27
  • Amazon EMR Landing page
    Landing page //
    2023-04-02

Dremio

Website
dremio.com
$ Details
Release Date
2015 January
Startup details
Country
United States
State
California
City
Santa Clara
Founder(s)
Jacques Nadeau
Employees
100 - 249
Edit details

Amazon EMR

Website
aws.amazon.com
$ Details
-
Release Date
-
Edit details

Dremio videos

+ Add

Introduction to Self-Service Data with Dremio

More videos:

  • Review - Data Access for Data Science | Dremio
  • Demo - Dremio Demo | Deploying Dremio AWS Edition Step-by-Step

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

Category Popularity

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

Dremio

Amazon EMR

Office & Productivity
100 100%
Office & Productivity
0% 0
Data Dashboard
4 4%
Data Dashboard
96% 96
Business & Commerce
100 100%
Business & Commerce
0% 0
Big Data
0 0%
Big Data
100% 100

User comments

Share your experience with using Dremio and Amazon EMR. For example, how are they different and which one is better?
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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.

Dremio mentions (0)

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

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

What are some alternatives?

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

Minitab Connect - Minitab Connect is a data management platform that comes with cloud-based data and integration workflows having data governance and integration tools.

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

Mozart Data - The easiest way for teams to build a Modern Data Stack

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

Zaloni Data Platform - Get self-service data from a platform that accelerates business insights. Use data from any source, anywhere: the cloud, on-premises, multi-cloud or hybrid.

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

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