Amazon EMR vs. Spark Streaming Comparison


Amazon EMR Amazon	Spark Streaming Apache Software Foundation	+	+
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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.	About Spark Streaming brings Apache Spark's language-integrated API to stream processing, letting you write streaming jobs the same way you write batch jobs. It supports Java, Scala and Python. Spark Streaming recovers both lost work and operator state (e.g. sliding windows) out of the box, without any extra code on your part. By running on Spark, Spark Streaming lets you reuse the same code for batch processing, join streams against historical data, or run ad-hoc queries on stream state. Build powerful interactive applications, not just analytics. Spark Streaming is developed as part of Apache Spark. It thus gets tested and updated with each Spark release. You can run Spark Streaming on Spark's standalone cluster mode or other supported cluster resource managers. It also includes a local run mode for development. In production, Spark Streaming uses ZooKeeper and HDFS for high availability.
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	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
Audience Companies that want to easily run and scale Apache Spark, Hive, Presto, and other big data frameworks	Audience Real-Time Data Streaming solution for businesses
Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported	Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported
API Offers API Not Supported	API Offers API Not Supported
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing No information available. Free Version Not Supported Free Trial Not Supported	Pricing No information available. Free Version Not Supported Free Trial Not Supported
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	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

Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported	Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported
Company Information Amazon Founded: 1994 United States aws.amazon.com/emr/	Company Information Apache Software Foundation Founded: 1999 United States spark.apache.org/streaming/
Alternatives AWS Glue Amazon	Alternatives ksqlDB Confluent
Amazon Athena Amazon	Samza Apache Software Foundation
Cloudera	Apache Spark Apache Software Foundation
E-MapReduce Alibaba	PySpark
Apache Spark Apache Software Foundation View All	MLlib Apache Software Foundation View All
Categories Big Data Supported	Categories Event Stream Processing Supported Real-Time Data Streaming Supported

Integrations Apache Spark Supported Amazon SageMaker Data Wrangler Supported Amazon SageMaker Studio Supported Amazon SageMaker Unified Studio Supported Apache Hive Supported Apache Phoenix Supported Data Virtuality Supported EC2 Spot Supported Gurucul Supported IBM watsonx.data integration Supported Lyftrondata Supported Pelanor Supported Presto Supported Privacera Supported Protegrity Supported PubSub+ Platform Not Supported Service Center Supported Tonic Ephemeral Supported Veza Supported Show More Integrations View All 48 Integrations	Integrations Apache Spark Supported Amazon SageMaker Data Wrangler Not Supported Amazon SageMaker Studio Not Supported Amazon SageMaker Unified Studio Not Supported Apache Hive Not Supported Apache Phoenix Not Supported Data Virtuality Not Supported EC2 Spot Not Supported Gurucul Not Supported IBM watsonx.data integration Not Supported Lyftrondata Not Supported Pelanor Not Supported Presto Not Supported Privacera Not Supported Protegrity Not Supported PubSub+ Platform Supported Service Center Not Supported Tonic Ephemeral Not Supported Veza Not Supported Show More Integrations View All 3 Integrations
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