Software Alternatives & Reviews

Amazon EMR VS SymmetricDS

Compare Amazon EMR VS SymmetricDS 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.

SymmetricDS logo SymmetricDS

SymmetricDS is an asynchronous database replication software package that supports multiple subscribers and bi-directional synchronization.
  • Amazon EMR Landing page
    Landing page //
    2023-04-02
  • SymmetricDS Landing page
    Landing page //
    2021-09-13

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

SymmetricDS videos

SymmetricDS Lab Part1: Lab Overview

Category Popularity

0-100% (relative to Amazon EMR and SymmetricDS)
Data Dashboard
100 100%
0% 0
Web Service Automation
0 0%
100% 100
Big Data
100 100%
0% 0
Monitoring Tools
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, Amazon EMR should be more popular than SymmetricDS. 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

SymmetricDS mentions (1)

  • Show HN: PowerSync – Bi-directional Postgres<>SQLite sync for offline-first apps
    Let me throw SymmetricDS into the ring: https://symmetricds.org/ In my opinion it is quite underestimated giving its various cross platform and cross product sync capabilities. My first experiences with it are quite promising. - Source: Hacker News / 5 months ago

What are some alternatives?

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

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

Whatagraph - Whatagraph is the most visual multi-source marketing reporting platform. Built in collaboration with digital marketing agencies

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

Excel Mysql Converter Program Free - Excel Mysql Converter Program Free is a freeware tool to help you to convert any Excel spreadsheet...

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

DBConvert Studio - Database migration/ sync software for data conversion and replication.