Amazon EMR vs. IBM Analytics Engine Comparison


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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 IBM Analytics Engine provides an architecture for Hadoop clusters that decouples the compute and storage tiers. Instead of a permanent cluster formed of dual-purpose nodes, the Analytics Engine allows users to store data in an object storage layer such as IBM Cloud Object Storage and spins up clusters of computing notes when needed. Separating compute from storage helps to transform the flexibility, scalability and maintainability of big data analytics platforms. Build on an ODPi compliant stack with pioneering data science tools with the broader Apache Hadoop and Apache Spark ecosystem. Define clusters based on your application's requirements. Choose the appropriate software pack, version, and size of the cluster. Use as long as required and delete as soon as an application finishes jobs. Configure clusters with third-party analytics libraries and packages. Deploy workloads from IBM Cloud services like machine learning.
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 Enterprises in need of an architecture for Hadoop clusters to decouples the compute and storage tiers
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 $0.014 per hour Free Version 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 IBM Founded: 1911 United States www.ibm.com/cloud/analytics-engine
Alternatives AWS Glue Amazon	Alternatives E-MapReduce Alibaba
Amazon Athena Amazon	Hadoop Apache Software Foundation
Cloudera	Tencent Cloud Elastic MapReduce Tencent
E-MapReduce Alibaba	Apache Sentry Apache Software Foundation
Apache Spark Apache Software Foundation View All	Azure HDInsight Microsoft View All
Categories Big Data Supported	Categories Data Discovery Supported Data Visualization Supported

Integrations Apache Spark Supported Hadoop Supported AWS Data Exchange Supported AWS Data Pipeline Supported AWS Lake Formation Supported AWS Step Functions Supported Amazon S3 Express One Zone Supported Apache Phoenix Supported CopperEgg Supported Data Virtuality Supported IBM Cloud Object Storage Not Supported Pepperdata Supported SAS Studio Supported Saagie Supported Sifflet Supported Switch Automation Not Supported Veza Supported ZARUS Not Supported definity Supported Show More Integrations View All 48 Integrations	Integrations Apache Spark Supported Hadoop Supported AWS Data Exchange Not Supported AWS Data Pipeline Not Supported AWS Lake Formation Not Supported AWS Step Functions Not Supported Amazon S3 Express One Zone Not Supported Apache Phoenix Not Supported CopperEgg Not Supported Data Virtuality Not Supported IBM Cloud Object Storage Supported Pepperdata Not Supported SAS Studio Not Supported Saagie Not Supported Sifflet Not Supported Switch Automation Supported Veza Not Supported ZARUS Supported definity Not Supported Show More Integrations View All 9 Integrations
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