Amazon EMR

Amazon EMR

Amazon
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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
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

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
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

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

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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
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

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

Company Information

DeviceHive
Founded: 2012
www.youtube.com/watch

Alternatives

Alternatives

HiveSocial

HiveSocial

Enterprise Hive
E-MapReduce

E-MapReduce

Alibaba
eHive

eHive

Vernon Systems
Apache Spark

Apache Spark

Apache Software Foundation

Categories

Categories

Integrations

AWS App Mesh
AWS Data Exchange
Amazon S3 Express One Zone
Amazon SageMaker Data Wrangler
Apache HBase
Apache Phoenix
Apache Spark
Ataccama ONE
CopperEgg
Gurucul
IBM watsonx.data integration
Kubernetes
Lyftrondata
Presto
Prophecy
Protegrity
Sifflet
TrustLogix
Veza
definity

Integrations

AWS App Mesh
AWS Data Exchange
Amazon S3 Express One Zone
Amazon SageMaker Data Wrangler
Apache HBase
Apache Phoenix
Apache Spark
Ataccama ONE
CopperEgg
Gurucul
IBM watsonx.data integration
Kubernetes
Lyftrondata
Presto
Prophecy
Protegrity
Sifflet
TrustLogix
Veza
definity
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