Amazon EMR vs. Apache Ossie 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 Apache Ossie is an open specification and converter toolkit for exchanging semantic metadata across analytics, business intelligence, and AI systems. Its YAML-based format describes semantic models, datasets, fields, metrics, dimensions, relationships, and SQL expressions in a portable structure. Data and analytics engineers can use compatible implementations to author, translate, and reuse these definitions across connected platforms, supporting consistent business context for reporting and AI-assisted analysis. The project is an open-source community effort under the Apache License 2.0, with available conversions depending on each platform’s implementation.
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 Not 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 Data and analytics engineers, semantic-model authors, data-platform teams, and developers building or connecting analytics, BI, and AI systems that need to exchange reusable semantic definitions across compatible tools.
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 No images available
Pricing No information available. Free Version Not Supported Free Trial Not Supported	Pricing No information available. 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 Apache Software Foundation Founded: 1999 United States ossie.apache.org
Alternatives AWS Glue Amazon	Alternatives No Alternatives
Amazon Athena Amazon
Cloudera
E-MapReduce Alibaba
Apache Spark Apache Software Foundation View All	View All
Categories Big Data Supported	Categories Semantic Layer Supported

Integrations Apache Hive Supported Ataccama ONE Supported Feast Supported Gurucul Supported MetricFire Supported Okera Supported Omni Not Supported Privacera Supported Progress DataDirect Supported Quorso Supported SAS Studio Supported Saagie Supported Sifflet Supported Tecton Supported ThoughtSpot Not Supported Veza Supported Zepl Supported dbt Not Supported Show More Integrations View All 48 Integrations	Integrations Apache Hive Not Supported Ataccama ONE Not Supported Feast Not Supported Gurucul Not Supported MetricFire Not Supported Okera Not Supported Omni Supported Privacera Not Supported Progress DataDirect Not Supported Quorso Not Supported SAS Studio Not Supported Saagie Not Supported Sifflet Not Supported Tecton Not Supported ThoughtSpot Supported Veza Not Supported Zepl Not Supported dbt Supported Show More Integrations View All 12 Integrations
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