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Google Cloud Dataflow
Google Cloud Dataproc
Qubole
Snowflake
HortonWorks Data Platform
Databricks
Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.

PieceX
Envato
Find the software you need - customize it to perfection.

Which is more popular?
Based on our record, Amazon EMR seems to be more popular. It has been mentioned 10 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | aws.amazon.com | codehost.market |
| Pricing | — | |
| Company | — | Startup from the United States · 10 - 19 employees · 2024 |
| Listed in |
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Overall verdict
Why this product is good
Recommended for
Amazon EMR is recommended for data engineers, data scientists, and IT professionals who need to manage and process large datasets in a scalable, efficient, and cost-effective manner. It is especially suitable for businesses that are already using AWS services and want to leverage a tightly integrated ecosystem. Additionally, it is a good choice for organizations that require rapid and flexible data analysis capabilities provided by frameworks such as Hadoop, Spark, HBase, and Presto.
Overall verdict
Why this product is good
Recommended for
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Recommendations tracked on public social media and blogs since March 2021.


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... Source: over 3 years ago
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: over 4 years ago
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: over 4 years ago
Tracking CodeHost since Mar 2024.
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