Amazon EMRAmazon
|
||||||
Related Products
|
||||||
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
Available in IBM Watson® Studio and Watson™ Knowledge Catalog, the data refinery tool saves data preparation time by quickly transforming large amounts of raw data into consumable, quality information that’s ready for analytics. Interactively discover, cleanse, and transform your data with over 100 built-in operations. No coding skills are required. Understand the quality and distribution of your data using dozens of built-in charts, graphs, and statistics. Automatically detect data types and business classifications. Access and explore data residing in a wide spectrum of data sources within your organization or the cloud. Automatically enforce policies set by data governance professionals. Schedule data flow executions for repeatable outcomes. Monitor results and receive notifications. Easily scale out via Apache Spark to apply transformation recipes on full data sets. No management of Apache Spark clusters needed.
|
|||||
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
Companies looking for a data refinery solution for their data preparation and management operations
|
|||||
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/
|
Reviews/
|
|||||
Training
Documentation
Webinars
Live Online
In Person
|
Training
Documentation
Webinars
Live Online
In Person
|
|||||
Company InformationAmazon
Founded: 1994
United States
aws.amazon.com/emr/
|
Company InformationIBM
Founded: 1911
United States
www.ibm.com/products/data-refinery
|
|||||
Alternatives |
Alternatives |
|||||
|
||||||
|
|
|||||
|
||||||
Categories |
Categories |
|||||
Integrations
Apache Spark
Amazon S3 Express One Zone
Amazon SageMaker Studio
Amazon SageMaker Unified Studio
Apache Phoenix
Data Virtuality
Gurucul
IBM Cloud
IBM Cloud Pak for Watson AIOps
IBM Watson Language Translator
|
Integrations
Apache Spark
Amazon S3 Express One Zone
Amazon SageMaker Studio
Amazon SageMaker Unified Studio
Apache Phoenix
Data Virtuality
Gurucul
IBM Cloud
IBM Cloud Pak for Watson AIOps
IBM Watson Language Translator
|
|||||
|
|