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The AWS data platform portfolio ticks all the checkboxes for cloud databases. It differentiates with data platforms such as Aurora that are designed for, rather than adapted to, the cloud.


  • In this report, Ovum analyzes the strengths and weaknesses of AWS's portfolio of data platforms and compares it to those of its principal rivals, including Microsoft Azure and Google Cloud.

Features and Benefits

  • Helps clients understand the strengths, weaknesses, and synergies of AWS data platforms and related services (including streaming, analytics, and data integration).
  • Positions AWS's data platforms versus those of its principal cloud rivals.

Key questions answered

  • What are the strengths and weaknesses of AWS's data platform portfolio?
  • What are the synergies and cross-platform integrations that comprise AWS's platform strategy, and how could customers take advantage of them?

Table of contents


  • Catalyst
  • Ovum view
  • Key messages


  • Recommendations for enterprises
  • Recommendations for vendors


  • Focus on AWS's managed data platforms
  • Trigger – the cloud becoming a strategic platform
  • Why cover managed cloud data platform services (DBaaS)?

Cloud data platforms: The key pillars

  • The standard checklist
  • Beyond the checklist –Cloud-native database services

SQL relational databases

  • Amazon Relational Database Service (RDS)
  • Amazon Aurora
  • So why are there two different MySQL and PostgreSQL services?

Data warehouse

  • Redshift
  • Extending Redshift
  • Amazon Athena

NoSQL database and data cache

  • The "standard" choice: DynamoDB or HBase
  • Amazon DynamoDB

Big data services

  • Amazon EMR


  • Methodology
  • Further reading
  • Author

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