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IBM Db2 Warehouse on Cloud VS Amazon EMR

Compare IBM Db2 Warehouse on Cloud VS Amazon EMR and see what are their differences

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IBM Db2 Warehouse on Cloud logo IBM Db2 Warehouse on Cloud

IBM Db2 Warehouse on Cloud is a fully-managed, cloud data warehouse service powered by IBM BLU Acceleration and built for high-performance analytics and machine learning.

Amazon EMR logo Amazon EMR

Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.
  • IBM Db2 Warehouse on Cloud Landing page
    Landing page //
    2023-09-27
  • Amazon EMR Landing page
    Landing page //
    2023-04-02

IBM Db2 Warehouse on Cloud videos

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Amazon EMR videos

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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 IBM Db2 Warehouse on Cloud and Amazon EMR)

IBM Db2 Warehouse on Cloud

Amazon EMR

Big Data
9 9%
Big Data
91% 91
Data Dashboard
0 0%
Data Dashboard
100% 100
Data Management
100 100%
Data Management
0% 0
Databases
100 100%
Databases
0% 0

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.

IBM Db2 Warehouse on Cloud mentions (0)

We have not tracked any mentions of IBM Db2 Warehouse on Cloud yet. Tracking of IBM Db2 Warehouse on Cloud 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
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What are some alternatives?

When comparing IBM Db2 Warehouse on Cloud and Amazon EMR, you can also consider the following products

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

Amazon Redshift - Learn about Amazon Redshift cloud data warehouse.

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

Azure SQL Data Warehouse - Azure Synapse Analytics (formerly SQL DW) is a limitless analytics service that brings together enterprise data warehousing and Big Data analytics.

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

SAP Warehouse - Manage high-volume warehouse operations with SAP Extended Warehouse Management – a modern, automated warehouse management system (WMS) that integrates supply chain logistics.

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