Amazon

Amazon Aurora

8.4 /10

42 Reviews Write a Review

Claim Software

What is 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.

Company Details

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Awards & Recognition

Amazon Aurora won the following awards in the Transaction Data Store category

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2024 Emotional Footprint Champion

Latest Award, 2024

Strategy and Innovation
Service Experience
Contract Negotiation
Conflict Resolution

Latest Award, 2024

2023 Data Quadrant Gold Medalist

2023

1 Top Rated Capabilities

5 Top Rated Features

2023

2023 Emotional Footprint Champion

2023

Strategy and Innovation
Contract Negotiation
Conflict Resolution

2023

2022 Data Quadrant Gold Medalist

2022

2 Top Rated Capabilities

5 Top Rated Features

2022

2022 Emotional Footprint Champion

2022

Strategy and Innovation
Product Impact
Contract Negotiation
Conflict Resolution

2022

Amazon Aurora Ratings

Real user data aggregated to summarize the product performance and customer experience.
Download the entire Product Scorecard to access more information on Amazon Aurora.

89 Likeliness to Recommend

100 Plan to Renew

86 Satisfaction of Cost Relative to Value

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Emotional Footprint Overview

+97 Net Emotional Footprint

The emotional sentiment held by end users of the software based on their experience with the vendor. Responses are captured on an eight-point scale.

How much do users love Amazon Aurora?

0% Negative

0% Neutral

100% Positive

Pros

Helps Innovate
Inspires Innovation
Includes Product Enhancements
Generous Negotitation

Feature Ratings

Average 88

High Availability

Data Management

Database Management

Data Protection and Security

High Speed & Online Transaction Processing

Distributed Processing

Data Backup

Operations Management

Data Replication

Systems Performance Management

Data Monitoring and Administration

Vendor Capability Ratings

Average 84

Quality of Features

Breadth of Features

Ease of Implementation

Business Value Created

Ease of IT Administration

Ease of Data Integration

Vendor Support

Ease of Customization

Usability and Intuitiveness

Product Strategy and Rate of Improvement

Availability and Quality of Training

Amazon Aurora Reviews

Role: Vendor Management
Industry: Retail
Involvement: Vendor Management and Renewal

Validated Review

Anonymous Reviewer

Submitted Oct 2020

Easy to use and easy to navigate.

Likeliness to Recommend

10 /10

Pros

Reliable
Enables Productivity
Efficient Service
Client Friendly Policies

Role: Industry Specific Role
Industry: Banking
Involvement: IT Development, Integration, and Administration

Validated Review

Anonymous Reviewer

Submitted Jun 2020

Easy to use

Likeliness to Recommend

10 /10

Pros

Helps Innovate
Continually Improving Product
Reliable
Enables Productivity

Amazon Aurora

What is Amazon Aurora?

Company Details

Need Assistance?

Awards & Recognition

2024 Emotional Footprint Champion

2023 Data Quadrant Gold Medalist

2023 Emotional Footprint Champion

2022 Data Quadrant Gold Medalist

2022 Emotional Footprint Champion

2021 Data Quadrant Gold Medalist

2021 Emotional Footprint Champion

2020 Data Quadrant Gold Medalist

Amazon Aurora Ratings

89 Likeliness to Recommend

100 Plan to Renew

86 Satisfaction of Cost Relative to Value

Emotional Footprint Overview

+97 Net Emotional Footprint

How much do users love Amazon Aurora?

Pros

Feature Ratings Average rating of all product features, some of which may not be shown below

High Availability HA DB designed for near-zero downtown by seamless replication of data between environments for uninterrupted real-time access and fail-over capabilities.

Data Management Includes data sharing, data storage, records management, and data security.

Database Management Supports multiple data types, data structuring, data retrieval, database customization, and multi-user access.

Data Protection and Security Includes data encryption, data audit, and data compliance.

High Speed & Online Transaction Processing Also referred to as OLTP (Online Transaction processing). OLTP databases include strong support for CRUD operations and ACID compliance.

Distributed Processing Data storage and processing is shared among many physical or virtual independents servers or sites for high volume data with seamless access to large datasets.

Data Backup Includes the creation of duplicate instances to recover from an unplanned data loss. Also, support for high volumes of data processing and data compression.

Operations Management Includes cost control, production management, and performance management.

Data Replication Support for a real-time copy of the database in more than one system to facilitate access to the copy of data from multiple systems without any inconsistencies.

Systems Performance Management Includes monitoring, analyzing and configuration in order to optimize performance and increase efficiency.

Data Monitoring and Administration Includes ability to continuously monitored data quality rules, as well as generate alerts to notify data stewards when they need to address an issue.

Vendor Capability Ratings Average rating of all vendor capabilities, some of which may not be shown below

Quality of Features Feature quality is just as important as quantity. Use this data to determine if this product will do what you're purchasing it to do, easily, intuitively, reliably, and effectively.

Breadth of Features Users prefer feature rich software that enables them to perform diverse series of tasks. This data expresses user satisfaction with the product's breadth of features.

Ease of Implementation Successfully implementing new software is necessary to realize its full value and promote end user adoption. This data indicates whether or not the product is easy to implement.

Business Value Created Software needs to create value for employees, customers, partners, and, ultimately, shareholders. This data expresses user satisfaction - or lack thereof - with the product's business value.

Ease of IT Administration This data indicates whether IT personnel will be able to resolve issues and perform configurations efficiently and effectively.

Ease of Data Integration Use this data to determine whether the product will cause headaches or make data integration easy.

Vendor Support The importance of vendor support will vary for each organization depending on internal capabilities, but there will always be issues that only the vendor can resolve.

Ease of Customization Don't get bogged down in a difficult customization; use this data to make sure you can easily achieve the functionality you need for your particular situation.

Usability and Intuitiveness End user learning curves cost the organization money. Pay attention to your end users' technical ability to determine how important UX is in your purchase.

Product Strategy and Rate of Improvement Vendors who don't stay on top of emerging needs and trends won't enable you to meet your business goals. Use this data to separate innovators from imposters.

Availability and Quality of Training Effective and readily available training enables users to get the most out of the software you've chosen. Use this section to make sure your vendor's training programs and materials measure up.

Amazon Aurora Reviews

Easy to use and easy to navigate.

Likeliness to Recommend

Pros

Easy to use

Likeliness to Recommend

Pros

Most Popular Amazon Aurora Comparisons

Microsoft SQL Server

Oracle Database

SAP HANA Cloud

Teradata Advanced SQL Engine

Azure Cosmos DB

Progress MarkLogic Data Platform

Feature Ratings

High Availability

Data Management

Database Management

Data Protection and Security

High Speed & Online Transaction Processing

Distributed Processing

Data Backup

Operations Management

Data Replication

Systems Performance Management

Data Monitoring and Administration

Vendor Capability Ratings

Quality of Features

Breadth of Features

Ease of Implementation

Business Value Created

Ease of IT Administration

Ease of Data Integration

Vendor Support

Ease of Customization

Usability and Intuitiveness

Product Strategy and Rate of Improvement

Availability and Quality of Training