Hortonworks Data Cloud for AWS is a platform for analyzing and processing data, enabling businesses to achieve insights more quickly and with greater flexibility than ever before. Instead of going through infinite configuration options, you can choose from a set of prescriptive cluster configurations (for example: Apache Spark for data processing or Apache Hive for data analytics) and you can start modeling and analyzing your data sets in minutes. When you are done with your analysis, you can give the resources back to the cloud, reducing your costs.
Hortonworks Data Cloud for AWS is specifically optimized to run well on AWS environments for enterprise ephemeral workloads and is designed to work with AWS Services such as Amazon S3, RDS and EC2.
WITH HORTONWORKS DATA CLOUD FOR AWS, USERS GET THE FOLLOWING BENEFITS:
DESIGNED FOR AWS
Optimized for and integrated with AWS services such as EC2, S3, RDS
Available in US, Europe and Asia Pacific AWS regions
Optional free community support available from Hortonworks
Out of the box support for S3a connectivity and the shared Hive Metastore
FOCUS ON YOUR DATA
Prescriptive on-demand use cases
- Data Science and Exploration
- ETL and Data Preparation
- Data Analytics and Reporting
Ease of use for developers and data scientists
- Zeppelin notebook integrated with Spark & Hive
Flexibility for operators
- Manage clusters and workloads, not servers or infrastructure
INTEROPERABLE HDP SERVICES
Leverages matching HDP services, enabling choice for where you run your applications
No rework or recoding
Provides flexibility and choice
Simple: Launch Apache Spark and Apache Hive in minutes to begin modeling and analyzing data sets
Flexible: Scale clusters up or down in as your resource needs change
Efficient: Get started quickly, deploy what you need when you need it
Secure: Advanced network, security and storage configurations for power users
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