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What is SiteWhere?

SiteWhere leverages Kubernetes to deploy its infrastructure and microservices, making it adaptable for both on-premises installations and a wide range of cloud service providers. The platform is backed by solid configurations of Apache Kafka, Zookeeper, and Hashicorp Consul, which ensures a dependable infrastructure. Each microservice is architected for independent scalability while facilitating seamless interaction with other services. It offers a comprehensive multitenant IoT ecosystem that includes device management, event ingestion, extensive event storage capabilities, REST APIs, data integration, and various other features. The architecture is distributed and constructed using Java microservices that run on Docker, utilizing an Apache Kafka processing pipeline for enhanced efficiency. Notably, SiteWhere CE is an open-source solution, permitting free use for personal and commercial applications alike. The SiteWhere team also offers complimentary basic support and continuously rolls out innovative features to enrich the platform's capabilities. This focus on community-driven development not only enhances user experience but also ensures access to ongoing improvements and timely updates, making it a dynamic choice for IoT solutions. As such, SiteWhere positions itself as a valuable resource for organizations looking to implement comprehensive IoT strategies.

What is Amazon EMR?

Amazon EMR is recognized as a top-tier cloud-based big data platform that efficiently manages vast datasets by utilizing a range of open-source tools such as Apache Spark, Apache Hive, Apache HBase, Apache Flink, Apache Hudi, and Presto. This innovative platform allows users to perform Petabyte-scale analytics at a fraction of the cost associated with traditional on-premises solutions, delivering outcomes that can be over three times faster than standard Apache Spark tasks. For short-term projects, it offers the convenience of quickly starting and stopping clusters, ensuring you only pay for the time you actually use. In addition, for longer-term workloads, EMR supports the creation of highly available clusters that can automatically scale to meet changing demands. Moreover, if you already have established open-source tools like Apache Spark and Apache Hive, you can implement EMR on AWS Outposts to ensure seamless integration. Users also have access to various open-source machine learning frameworks, including Apache Spark MLlib, TensorFlow, and Apache MXNet, catering to their data analysis requirements. The platform's capabilities are further enhanced by seamless integration with Amazon SageMaker Studio, which facilitates comprehensive model training, analysis, and reporting. Consequently, Amazon EMR emerges as a flexible and economically viable choice for executing large-scale data operations in the cloud, making it an ideal option for organizations looking to optimize their data management strategies.

Media

Media

Integrations Supported

AWS Data Exchange
Apache HBase
Apache Kafka
Ataccama ONE
Hadoop
HashiCorp Consul
Immuta
Kubernetes
Lyftrondata
MetricFire
New Relic
Pelanor
Progress DataDirect
Protegrity
Quorso
Saagie
Tecton
Unravel
Zepl

Integrations Supported

AWS Data Exchange
Apache HBase
Apache Kafka
Ataccama ONE
Hadoop
HashiCorp Consul
Immuta
Kubernetes
Lyftrondata
MetricFire
New Relic
Pelanor
Progress DataDirect
Protegrity
Quorso
Saagie
Tecton
Unravel
Zepl

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

SiteWhere

Company Website

sitewhere.io

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/emr/

Categories and Features

Categories and Features

Big Data

Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates

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