Software Alternatives, Accelerators & Startups

Amazon EMR VS Objective ECM

Compare Amazon EMR VS Objective ECM 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.

Objective ECM logo Objective ECM

Objective ECM is a secure and reliable Enterprise Content Management software that empowers users to manage their content and build powerful business processes.
  • Amazon EMR Landing page
    Landing page //
    2023-04-02
  • Objective ECM Landing page
    Landing page //
    2023-08-04

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

Objective ECM videos

Objective ECM 8 1 Webinar 22 Sep 2011

Category Popularity

0-100% (relative to Amazon EMR and Objective ECM)
Data Dashboard
100 100%
0% 0
Office & Productivity
0 0%
100% 100
Big Data
100 100%
0% 0
Business & Commerce
0 0%
100% 100

User comments

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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.

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: 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

Objective ECM mentions (0)

We have not tracked any mentions of Objective ECM yet. Tracking of Objective ECM recommendations started around Jan 2022.

What are some alternatives?

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

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

Micro Focus Content Manager - Micro Focus Content Manager is an easy-to-use document and records management system that helps capture, manage, and secure business information, whether it’s digital or physical data.

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

SOLIXCloud ECS - SOLIXCloud ECS is a cloud-based CMS platform that is designed for organizations in order to store, organize, and securely govern data.

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

Cincom ECM - Cincom ECM Suite provides a single solution for managing content across the enterprise, from document and image management to records and eDiscovery.