Amazon EMR vs. DeviceHive 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 Open Source IoT Data Platform with a wide range of integration options. DeviceHive has various deployment options, and that is why it fits ideal for every company either it is a mature enterprise or a small start-up. With the docker compose and kubernetes deployment options, you can go with private, public or hybrid cloud and scale from a single virtual machine, to enterprise grade cluster. Don’t have time to deploy? Make yourself familiar with the DeviceHive with zero deployment, sign up for our free public playground. From prototyping to enterprise solutions, one small step with DeviceHive, one giant leap for your business. DeviceHive allows you to think about business development instead of technical formalities. DeviceHive employs the best software design practices, introducing container based service oriented architecture approach managed and orchestrated by Kubernetes.
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 and organizations requiring an IoT data platform with a wide range of integration options
Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported	Support Phone Support Not Supported 24/7 Live Support Supported Online Supported
API Offers API Not Supported	API Offers API 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 DeviceHive Founded: 2012 www.youtube.com/watch
Alternatives AWS Glue Amazon	Alternatives HiveSocial Enterprise Hive
Amazon Athena Amazon	HiveMQ
Cloudera	Hive Engine
E-MapReduce Alibaba	eHive Vernon Systems
Apache Spark Apache Software Foundation View All	Alpha Hive AlphaNext Technologies View All
Categories Big Data Supported	Categories IoT Analytics Supported

Integrations AWS Lake Formation Supported AWS Step Functions Supported Amazon S3 Express One Zone Supported Amazon SageMaker Unified Studio Supported Apache Hive Supported CopperEgg Supported Data Virtuality Supported EC2 Spot Supported IBM watsonx.data integration Supported Kubernetes Not Supported Lyftrondata Supported Pelanor Supported Pepperdata Supported Presto Supported Sifflet Supported Tecton Supported Tonic Ephemeral Supported definity Supported Show More Integrations View All 48 Integrations	Integrations AWS Lake Formation Not Supported AWS Step Functions Not Supported Amazon S3 Express One Zone Not Supported Amazon SageMaker Unified Studio Not Supported Apache Hive Not Supported CopperEgg Not Supported Data Virtuality Not Supported EC2 Spot Not Supported IBM watsonx.data integration Not Supported Kubernetes Supported Lyftrondata Not Supported Pelanor Not Supported Pepperdata Not Supported Presto Not Supported Sifflet Not Supported Tecton Not Supported Tonic Ephemeral Not Supported definity Not Supported Show More Integrations View All 1 Integration
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