Amazon EMRAmazon
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Related Products
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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.
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About
Springworks SPARK connected car platform enables a secure & cost-efficient way to build attractive services for your end users. There is a multitude of ready-to-launch APIs available for an array of services. Get in touch and we will tell you more about how it works! The SPARK platform is arguably the most advanced connected car platform available. Powered by AWS, it is GDPR compliant by design and built to handle millions of vehicles. The possibilities for building real customer value from vehicle related data are almost endless – get in touch and we’ll discuss how you can enhance your offering. By making it possible for local service providers to offer relevant services to your customers, you can significantly enhance your end users experience using your products. Save time & cost while adding safety & fun to car ownership! At Springworks International, we enable companies to bring a variety of services to end users through our state-of-the-art connected car platform SPARK.
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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
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Supported
iPad
Supported
Android
Supported
Chromebook
Not Supported
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Audience
Companies that want to easily run and scale Apache Spark, Hive, Presto, and other big data frameworks
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Audience
Businesses searching for a solution to improve their services and increase sales
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Not Supported
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API
Offers API
Not Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Pricing
$0.01 per month
Free Version
Not Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Company InformationAmazon
Founded: 1994
United States
aws.amazon.com/emr/
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Company InformationSpringworks
Sweden
www.springworks.se
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Categories |
Categories |
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Portal Features
Chat
Supported
Collaboration
Not Supported
Content Management
Not Supported
Document Management
Not Supported
File Sharing
Supported
Search
Supported
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Integrations
AWS Data Pipeline
Supported
AWS Step Functions
Supported
Apache HBase
Supported
Apache Phoenix
Supported
Apache Spark
Supported
Data Virtuality
Supported
Gurucul
Supported
Hadoop
Supported
IBM watsonx.data integration
Supported
MetricFire
Supported
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Integrations
AWS Data Pipeline
Not Supported
AWS Step Functions
Not Supported
Apache HBase
Not Supported
Apache Phoenix
Not Supported
Apache Spark
Not Supported
Data Virtuality
Not Supported
Gurucul
Not Supported
Hadoop
Not Supported
IBM watsonx.data integration
Not Supported
MetricFire
Not Supported
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