Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Average Ratings 1 Rating

Total
ease
features
design
support

Description

Amazon EMR stands as the leading cloud-based big data solution for handling extensive datasets through popular open-source frameworks like Apache Spark, Apache Hive, Apache HBase, Apache Flink, Apache Hudi, and Presto. This platform enables you to conduct Petabyte-scale analyses at a cost that is less than half of traditional on-premises systems and delivers performance more than three times faster than typical Apache Spark operations. For short-duration tasks, you have the flexibility to quickly launch and terminate clusters, incurring charges only for the seconds the instances are active. In contrast, for extended workloads, you can establish highly available clusters that automatically adapt to fluctuating demand. Additionally, if you already utilize open-source technologies like Apache Spark and Apache Hive on-premises, you can seamlessly operate EMR clusters on AWS Outposts. Furthermore, you can leverage open-source machine learning libraries such as Apache Spark MLlib, TensorFlow, and Apache MXNet for data analysis. Integrating with Amazon SageMaker Studio allows for efficient large-scale model training, comprehensive analysis, and detailed reporting, enhancing your data processing capabilities even further. This robust infrastructure is ideal for organizations seeking to maximize efficiency while minimizing costs in their data operations.

Description

Utilize Azure Resource Manager to quickly establish and deploy an Azure Analysis Services instance, allowing for the swift transfer of your existing models to take full advantage of the cloud's scalability, flexibility, and management features. You can easily scale up, scale down, or temporarily suspend the service, ensuring you only pay for what you actually utilize. Integrate data from diverse sources into a cohesive and reliable BI semantic model that is user-friendly and straightforward. By simplifying the representation of data and its foundational structure, you empower business users with self-service capabilities and facilitate data exploration. This approach significantly accelerates the time-to-insight for large and intricate datasets, ensuring that your BI solutions are responsive and aligned with the demands of your organization. Additionally, leverage DirectQuery to connect with real-time operational data, enabling you to monitor your business dynamics closely. Finally, enhance your data visualization experience by employing your preferred data visualization tools, making insights more accessible and actionable. This comprehensive solution not only enhances data usability but also drives better decision-making within the organization.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

AWS App Mesh Yes 
AWS Lake Formation Yes 
Amazon SageMaker Unified Studio Yes 
Apache HBase Yes 
Apache Phoenix Yes 
Apache Spark Yes 
Ataccama ONE Yes 
Bold BI No 
Data Sentinel No 
Feast Yes 
Microsoft 365 No 
Microsoft Entra ID No 
Microsoft Power BI No 
Okera Yes 
Progress DataDirect Yes 
Sifflet Yes 
StarfishETL No 
Tonic Ephemeral Yes 
Veza Yes 

Integrations

AWS App Mesh No 
AWS Lake Formation No 
Amazon SageMaker Unified Studio No 
Apache HBase No 
Apache Phoenix No 
Apache Spark No 
Ataccama ONE No 
Bold BI Yes 
Data Sentinel Yes 
Feast No 
Microsoft 365 Yes 
Microsoft Entra ID Yes 
Microsoft Power BI Yes 
Okera No 
Progress DataDirect No 
Sifflet No 
StarfishETL Yes 
Tonic Ephemeral No 
Veza No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

$0.81 per hour
Free Trial Yes 
Free Version No 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

Amazon

Founded

1994

Country

United States

Website

aws.amazon.com/emr/

Vendor Details

Company Name

Microsoft

Founded

1975

Country

United States

Website

azure.microsoft.com/en-us/services/analysis-services/

Product Features

Big Data

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

Product Features

Big Data

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

Alternatives

Alternatives

AWS Glue Reviews

AWS Glue

Amazon
E-MapReduce Reviews

E-MapReduce

Alibaba
Apache Spark Reviews

Apache Spark

Apache Software Foundation