2/6 in Operational Database Management

Response
Distribution
29Reviews

Amazon Web Services

Amazon Aurora

Amazon Aurora is a relational database engine that combines the speed and reliability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases.

8.6

Composite Score

Composite
Score

9.1

CX Score

CX
Score

+93

Emotional Footprint

Emotional
Footprint

90%

Likeliness to Recommend

Likeliness
to Recommend

2/6 in Operational Database Management

Response
Distribution
29Reviews
Category Features
  • Analytics and Reporting
  • |
  • Big Data Analytics
  • |
  • Data Backup
  • |
  • Data Management
  • |
  • Data Monitoring
  • |
  • Data Protection
  • |
  • Data Replication
  • |
  • Data Virtualization
  • |
  • Database Management
  • |
  • Operations Management
  • |
  • Systems Performance Management

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Product Reviews

  • -
  • 1
  • 2
  • 3
  • 4
Neutral
8/10

Information Technology

Amazon Aurora is a high performance, highly scalable alternative to MySQL

Vendor Capability Satisfaction

  • 2
  • Availability and Quality of Training
  • 3
  • Breadth of Features
  • 3
  • Business Value Created
  • 2
  • Ease of Customization
  • 3
  • Ease of Data Integration
  • 2
  • Ease of Implementation
  • 3
  • Ease of IT Administration
  • 2
  • Product Strategy and Rate of Improvement
  • 3
  • Quality of Features
  • 2
  • Usability and Intuitiveness
  • 4
  • Vendor Support

Product Feature Satisfaction

  • 3
  • Analytics and Reporting
  • -
  • Big Data Analytics
  • 2
  • Data Backup
  • 3
  • Database Management
  • 3
  • Data Management
  • 2
  • Data Monitoring
  • 2
  • Data Protection
  • 2
  • Data Replication
  • 3
  • Data Virtualization
  • 3
  • Operations Management
Neutral
8/10

Information Technology

Amazon Aurora is a high performance, highly scalable alternative to MySQL

Vendor Capability Satisfaction

  • 2
  • 3
  • 3
  • 2
  • 3
  • 2
  • 3
  • 2
  • 3
  • 2
  • 4

Product Feature Satisfaction

  • 3
  • Analytics and Reporting
  • -
  • Big Data Analytics
  • 2
  • Data Backup
  • 3
  • Database Management
  • 3
  • Data Management
  • 2
  • Data Monitoring
  • 2
  • Data Protection
  • 2
  • Data Replication
  • 3
  • Data Virtualization
  • 3
  • Operations Management