Amazon EMR

Amazon EMR

Amazon
Amazon EMR PySpark

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Amazon EMR:

About

Amazon EMR is the industry-leading cloud big data platform for processing vast amounts of data using open-source tools such as Apache Spark, Apache Hive, Apache HBase, Apache Flink, Apache Hudi, and Presto. With EMR you can run Petabyte-scale analysis at less than half of the cost of traditional on-premises solutions and over 3x faster than standard Apache Spark. For short-running jobs, you can spin up and spin down clusters and pay per second for the instances used. For long-running workloads, you can create highly available clusters that automatically scale to meet demand. If you have existing on-premises deployments of open-source tools such as Apache Spark and Apache Hive, you can also run EMR clusters on AWS Outposts. Analyze data using open-source ML frameworks such as Apache Spark MLlib, TensorFlow, and Apache MXNet. Connect to Amazon SageMaker Studio for large-scale model training, analysis, and reporting.
PySpark:

About

PySpark is an interface for Apache Spark in Python. It not only allows you to write Spark applications using Python APIs, but also provides the PySpark shell for interactively analyzing your data in a distributed environment. PySpark supports most of Spark’s features such as Spark SQL, DataFrame, Streaming, MLlib (Machine Learning) and Spark Core. Spark SQL is a Spark module for structured data processing. It provides a programming abstraction called DataFrame and can also act as distributed SQL query engine. Running on top of Spark, the streaming feature in Apache Spark enables powerful interactive and analytical applications across both streaming and historical data, while inheriting Spark’s ease of use and fault tolerance characteristics.
Amazon EMR:

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported
PySpark:

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported
Amazon EMR:

Audience

Companies that want to easily run and scale Apache Spark, Hive, Presto, and other big data frameworks
PySpark:

Audience

Application development solution for DevOps teams
Amazon EMR:

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported
PySpark:

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported
Amazon EMR:

API

Offers API Not Supported
PySpark:

API

Offers API Supported
Amazon EMR:

Screenshots and Videos

PySpark:

Screenshots and Videos

Amazon EMR:

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported
PySpark:

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported
Amazon EMR:

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software
PySpark:

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software
Amazon EMR:

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported
PySpark:

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported
Amazon EMR:

Company Information

Amazon
Founded: 1994
United States
aws.amazon.com/emr/
PySpark:

Company Information

PySpark
spark.apache.org/docs/latest/api/python/
Amazon EMR:

Alternatives

AWS Glue

AWS Glue

Amazon
PySpark:

Alternatives

Amazon EMR:
Amazon Athena

Amazon Athena

Amazon
4.5 out of 5 stars
PySpark:
Amazon EMR:
PySpark:
Amazon EMR:
E-MapReduce

E-MapReduce

Alibaba
PySpark:
Apache Spark

Apache Spark

Apache Software Foundation
Amazon EMR:
Apache Spark

Apache Spark

Apache Software Foundation
PySpark:
Spark Streaming

Spark Streaming

Apache Software Foundation
Amazon EMR:

Categories

Big Data Supported
PySpark:

Categories

Amazon EMR:

Integrations

Amazon SageMaker Data Wrangler Supported
Apache Spark Supported
Feast Supported
Tecton Supported
AWS App Mesh Supported
AWS Step Functions Supported
Amazon SageMaker Unified Studio Supported
Apache HBase Supported
Apache Hive Supported
Apache Phoenix Supported
Comet LLM Not Supported
Hadoop Supported
Pepperdata Supported
Progress DataDirect Supported
Prophecy Supported
Saagie Supported
Sifflet Supported
Zepl Supported
definity Supported
PySpark:

Integrations

Amazon SageMaker Data Wrangler Supported
Apache Spark Supported
Feast Supported
Tecton Supported
AWS App Mesh Not Supported
AWS Step Functions Not Supported
Amazon SageMaker Unified Studio Not Supported
Apache HBase Not Supported
Apache Hive Not Supported
Apache Phoenix Not Supported
Comet LLM Supported
Hadoop Not Supported
Pepperdata Not Supported
Progress DataDirect Not Supported
Prophecy Not Supported
Saagie Not Supported
Sifflet Not Supported
Zepl Not Supported
definity Not Supported
Amazon EMR:
Claim Amazon EMR and update features and information
Claim Amazon EMR and update features and information
PySpark:
Claim PySpark and update features and information
Claim PySpark and update features and information