Amazon Aurora combines the performance and availability of high-end commercial databases with the simplicity and cost-effectiveness of open-source databases. I like its auto-scaling, high availability across multiple AZs, compatibility with MySQL/PostgreSQL, and automated backups, which make it easy to manage without worrying about infrastructure overhead. The performance improvements and serverless options are especially helpful for applications that need to scale on demand. Review collected by and hosted on G2.com.

The main downside is the pricing model, which can get expensive at scale compared to self-managed databases. Aurora also has some limitations with certain advanced database features that exist in native MySQL/PostgreSQL. Additionally, cross-region replication setup can be complex, and debugging issues sometimes requires AWS support since it’s a managed service with limited visibility into the underlying infrastructure. Review collected by and hosted on G2.com.

AWS offers a broad selection of managed database services that are widely used across industries for everything from small applications to large-scale enterprise systems. With options like Amazon RDS, Aurora, DynamoDB, and more, AWS databases are known for their ease of use and rich feature set.

One of the major strengths of AWS databases is how easy they are to implement and integrate into existing AWS-based applications. Setting up a database can often be done in just a few clicks through the AWS Management Console, and integration with other AWS services (like Lambda, EC2, or S3) is seamless. This makes them an ideal choice for developers and DevOps teams looking to move quickly.

Amazon Aurora, in particular, stands out for its low-maintenance design and high performance, offering compatibility with both MySQL and PostgreSQL. It automates backups, patching, scaling, and failover, which significantly reduces operational overhead.

While AWS databases are frequently used due to their scalability and reliability, users should note that in-depth customer support (such as architectural guidance or 24/7 technical assistance) usually requires a paid support plan. The basic support tier is free but limited. Review collected by and hosted on G2.com.

Advanced Support Costs Extra: Deep technical support and fast response times require a paid support plan.

Can Be Complex at Scale: While simple to start, large deployments require careful configuration and cost monitoring.

Vendor Lock-In Risk: Heavy reliance on AWS-native services may make migration harder later. Review collected by and hosted on G2.com.

Amazon Aurora delivers excellent performance and scalability compared to traditional databases. It’s highly reliable with automatic failover, backups, and replication. Integration with other AWS services is seamless, and the pay-as-you-go pricing makes it cost-effective for scaling applications. Review collected by and hosted on G2.com.

The pricing can become expensive at scale, especially with large workloads or heavy storage usage. The learning curve for managing advanced configurations may be steep for beginners, and being AWS-specific reduces flexibility if you want to migrate away later Review collected by and hosted on G2.com.

Wide Range of Options: From fully managed (RDS, Aurora) to scalable NoSQL (DynamoDB), AWS offers solutions for nearly every use case.

High Availability: Built-in features like Multi-AZ, replication, and automatic failover are easy to configure.

Performance Tuning Options: Aurora and RDS offer good metrics, auto-scaling, and tuning tools.

Security and Compliance: Integration with IAM, KMS, VPC, and auditing tools provides robust enterprise-grade protection. Review collected by and hosted on G2.com.

Cost Can Escalate Quickly: Especially with features like provisioned IOPS, backup storage, and cross-region replication.

Learning Curve: So many options (RDS vs Aurora vs DynamoDB vs Redshift) can overwhelm new users.

Limited Cross-DB Integration: Migrating between engines (e.g., from Aurora MySQL to PostgreSQL) isn't seamless.

Vendor Lock-In Risk: Heavily optimized apps can become tightly coupled to AWS-specific features. Review collected by and hosted on G2.com.

HELPS CREATE MULTIPLE DATABASES WITH MINIMUAL EFFORT Review collected by and hosted on G2.com.

IT HAS LIMITED SUPPORT FOR NON-SQL POSTGRE SQL ENGINES Review collected by and hosted on G2.com.

Amazon Aurora is highly praised for its superior performance, scalability, and high availability compared to standard MySQL and PostgreSQL, offering features like automatic storage scaling, built-in replication, and low recovery times. Appreciate the ease of use for database management and the ability to handle heavy workloads seamlessly. Review collected by and hosted on G2.com.

Its pricing to be complex or potentially higher than alternatives, and occasional software bugs or limitations, such as connection issues or restricted commands. Review collected by and hosted on G2.com.

Easy to use and maintain

Ease of implementation

great customer support

Lot of features

Easy of integration in to any tech stack

Frequency of use - it is used everyday Review collected by and hosted on G2.com.

Not as flexible as using your own DB

I could have even more features

Allow finer grained tuning Review collected by and hosted on G2.com.

For me, one of the best things about Aurora is the compatibility with MySQL and Postgres Review collected by and hosted on G2.com.

I don't find anything that make me feel sad with Amazon Aurora Review collected by and hosted on G2.com.

Aurora provides us with much better performance speed than a normal traditional database. It also provides continuous automated backups in s3 without halting the live functionality of the application in the real world.

As Aurora is a managed service it becomes very easy to deploy within a few minutes.

Aurora also provides seamless integration with many AWS services for AI/ML like bedrock and Amazon SageMaker. Review collected by and hosted on G2.com.

One of the main issues we run into in Aurora is that you need to keep your database in constant auto-scaling but temporary storage is local to a computing instance and depends on its class. So if your ALTER statement requires lots of temporary space to rebuild table/index, it may fail because of insufficient local storage.

One of the other disadvantages is that we can't use the SUPER mysql command, as that is blocked. Review collected by and hosted on G2.com.

What I love best about Amazon Aurora is its performance and scalability. In a world, where NoSQL Databases are high in the competition, Aurora matches them with impressive performance and scalability features. The best part is that when all these features are automated with no manual intervention, Aurora replicates across multiple availability zones seamlessly. Review collected by and hosted on G2.com.

I felt that the pricing structure could be affordable. For large-scale projects I worked on, the pricing seems neat. This is not the case with small-scale projects. The replication and storage needs are unpredictable, as they alter on demand. Also, few database configurations are immutable, providing less flexibility than expected and not providing a complete user experience. Review collected by and hosted on G2.com.