Amazon Aurora vs PlanetScale comparison

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Amazon Aurora

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Executive SummaryUpdated on Mar 4, 2025

Amazon Aurora and PlanetScale compete in the cloud database market. Amazon Aurora has a robust architecture tailored for enterprise-level scalability and seamless AWS integration, while PlanetScale offers a serverless, developer-friendly approach.

Features: Amazon Aurora provides automatic scaling, fault-tolerant architecture, and seamless integration with AWS, which ensures high availability and reliability. It offers features like continuous backups, automated failover, and advanced security measures. PlanetScale features a serverless database option, enabling horizontal scaling with minimal configuration. It offers version control for database changes and a simplified deployment process, enhancing developer flexibility.

Room for Improvement: Amazon Aurora could improve its pricing transparency and complexity, reducing costs for smaller deployments. Some users find the learning curve steep due to the extensive AWS ecosystem. Additionally, Aurora's cross-region replication could be more user-friendly. PlanetScale could enhance its support for larger enterprise requirements, offer more detailed documentation for complex use cases, and provide better insights into performance metrics for larger data volumes.

Ease of Deployment and Customer Service: Amazon Aurora benefits from extensive AWS support and comprehensive documentation, which aids deployments for AWS-experienced users. However, its integration process can be complex for those unfamiliar with AWS. PlanetScale offers an intuitive deployment process with an easy-to-navigate interface, and reliable customer support facilitates quick iteration, making it appealing to teams prioritizing rapid development cycles.

Pricing and ROI: Amazon Aurora uses a pay-as-you-go model, appealing to enterprises needing scalability with potential for enterprise discounts. Its ROI is optimized for large-scale deployments, thanks to predictable cost management. PlanetScale offers a transparent, developer-friendly pricing model with a free tier that supports smaller teams and startups, allowing for practical budget management and quick ROI, especially valuable for innovators focusing on flexibility and cost-efficiency.

To learn more, read our detailed Amazon Aurora vs. PlanetScale Report (Updated: August 2026).

Amazon Aurora vs. PlanetScale

August 2026

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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

Amazon Aurora

Ranking in Relational Databases Tools

5th

Average Rating

8.4

Reviews Sentiment

6.1

Number of Reviews

Ranking in other categories

Database Management Systems (DBMS) (6th)

PlanetScale

Ranking in Relational Databases Tools

15th

Average Rating

8.4

Reviews Sentiment

5.3

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of August 2026, in the Relational Databases Tools category, the mindshare of Amazon Aurora is 3.2%, up from 2.8% compared to the previous year. The mindshare of PlanetScale is 1.1%, up from 0.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Relational Databases Tools Mindshare Distribution
Product	Mindshare (%)
Amazon Aurora	3.2%
PlanetScale	1.1%
Other	95.7%

Relational Databases Tools

Featured Reviews

SivashankarRajaram

Principal Engineer at a tech vendor with 10,001+ employees

Cloud database has delivered high performance and cost savings for data recovery and growth

Amazon can make better access levels and reduce costs for Amazon Aurora. A cost reduction would support multiple teams to adopt this solution since the cost is currently higher. Comparatively, we have the feature of scaling and everything we need. If you launch PostgreSQL on-premises, you need to have a separate DBA for maintenance and everything. If Amazon reduces the cost of Amazon Aurora, it would support large team adoption. A great feature to see in the next version of Amazon Aurora would be improvements in vectorization. In our PostgreSQL, we have pg_vector that helps with vectorizing many of the tables and that is used for data science projects. If Amazon improves this vectorization, it would be much more useful for data science and AI projects.

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Shrikant S

Consultant at RanceLab

Query insights have cut infrastructure costs and let full‑stack teams manage databases independently

In my opinion, the best features PlanetScale offers are recommendations and statistics on queries. Insights on queries have helped me and my teams significantly. For example, once while I was a CTO at Commutech, I received insights from a query that showed one specific query which checked permissions was selecting all permissions for a user instead of selecting a specific row. This increased the load on the database. Receiving that one insight helped me rewrite that query to only select the permission that needed to be checked, which made scaling possible. Such insights that pinpoint exact problems help in resolving scaling issues. PlanetScale positively impacts my organization by greatly improving productivity and saving significant costs. Typically, if I were to manage my own database, I would need someone to manage that infrastructure, keep updating things, and maintain backups. PlanetScale handles all of that, including backups. We can restore to a point in time using PlanetScale. All these things would normally require a specially skilled person to manage a database. Instead of that, we can have the full-stack developer developing the product manage the database themselves instead of hiring a specialized person just for management. Rather than spending on a DevOps person, we can spend that budget on a developer and build more features instead of spending money on just maintaining infrastructure.

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"Aurora's features that I find the most beneficial include its database backup strategy, performance options, and input-output operations."

"Amazon Aurora's best features are about scaling up and scaling down, which is perfect."

"The provision of custom read and write endpoints eliminates the need for managing a separate proxy load balancer."

"One of the standout features of Amazon Aurora is that we do not need to maintain disaster recovery or manage availability zones."

"Cost-wise, switching to Amazon Aurora is beneficial, saving me around $60,000 per year."

"Another advantage is that with AWS handling administration, responsibilities like database provisioning and maintenance are significantly reduced."

"The most valuable features of Amazon Aurora include the global instance with the global writer endpoint, which allows failovers and instance switches without requiring changes in my code, thanks to the default global Route 53 endpoint."

"Amazon Aurora stands out for its ease of use in a managed environment, inbuilt security, continuous backups, numerous read replicas, multi-region automated replication, and seamless integration with other AWS services."

More Amazon Aurora pros

"I recommend using PlanetScale as it provides ease of access and control over database changes using commands from the local terminal."

"PlanetScale positively impacts my organization by greatly improving productivity and saving significant costs."

"The database is accessible 24/7, ensuring my project runs smoothly without interruptions."

"In my opinion, one of the best features PlanetScale offers is the ability to lock all changes to the database, so no particular developer can do changes that could break things for others."

"One feature I appreciate about PlanetScale is its ability to handle migrations and commands without the need to run them manually in the database."

"The branching feature is also good for developer experience."

"The solution is beginner-friendly. Like any new platform, it can be a bit confusing at first. But after spending about an hour with it, you can get a clear idea of what everything is for. It's not very confusing; I think they've improved it recently."

"I did not face any downtime when using the product."

More PlanetScale pros

Cons

"I would like to see more AI-related features in future releases."

"The product's distributed query process for MySQL needs improvement."

"In Oracle, tools like Veridata allow for comparing databases and certifying data accuracy, even offering repair capabilities, which are missing in Aurora. There should be a similar comparison tool in Aurora."

"Aurora’s finance aspects could be improved, particularly in reducing the per-hour use cost."

"There should be constant changes, which can be challenging to keep up with annually."

"Sometimes mistakes can be easily made, and people can waste money by mistake if they do not know what they are doing."

"It would have been helpful if they had provided some benchmarking numbers."

"I would like to see performance insights on the database based on the queries. Currently, we use SolarWinds as the monitoring tool. I would like to leverage SolarWinds’ performance insights in AWS services. SolarWinds gives larger insights when we run performance issues."

More Amazon Aurora cons

"The main thing I didn't like about PlanetScale was that we couldn't run analytical queries on it."

"I used PlanetScale for hobby projects, so my perspective differs from someone using it commercially. Unfortunately, they've removed the free tier in recent months and pivoted to a business-to-business model. This is sad for hobby developers like me because it's a great product, but I understand they have costs to cover."

"I am not sure, but I think recently, the tool removed the free version."

"When I tried to integrate the solution with Firebase for authentication, I faced some interruptions. Also, when using it with Next.js and NextAuth.js for Google and social logins, I had some troubles."

"Regarding needed improvements, I wish PlanetScale would have a free tier so that startups could try it and then opt in for a paid feature."

"We encountered some initial issues during the product deployment, which required me to search for solutions on forums."

"I would like PlanetScale to have a feature where the database can be accessed in the cloud with a link, allowing for a more user-friendly interface compared to the terminal."

"Recently we started noticing that because of the distance between the database and the server and our particular field, there may be some lagging and that may not be acceptable."

Pricing and Cost Advice

"I would rate the pricing a six out of ten, with ten being expensive."

"There is no need to buy a license for the product. We can pay as per the use case."

"It is an expensive solution."

"The tool’s pricing depends on the instance type. For cost optimization purposes, we use the result instance category."

"The price could be lower compared to its competitors."

"It is quite expensive."

"The solution is expensive for beginners. That's why I wasn't motivated to use it more. But they were already providing many features for free for beginners, which was great."

"Last time, when I wanted to use the tool in a project, I could see it was only paid, so I didn't use the service."

"I am currently using the product's free version, which has been sufficient for my portfolio project."

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Top Industries

By visitors reading reviews

Financial Services Firm

12%

Healthcare Company

11%

University

11%

Manufacturing Company

No data available

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	5
Midsize Enterprise	4
Large Enterprise	14

By reviewers
Company Size	Count
Small Business	9
Large Enterprise	2

Questions from the Community

What is your experience regarding pricing and costs for Amazon Aurora?

The pricing for Amazon Aurora is different from DocumentDB because DocumentDB is cheaper. However, when you manage the administration more closely, you can control costs better with Amazon Aurora. ...

What needs improvement with Amazon Aurora?

What is your primary use case for Amazon Aurora?

Amazon Aurora is a service provided by AWS, and we received support from AWS for our implementation. The direction we are moving toward is specifically Amazon Aurora PostgreSQL.

What is your experience regarding pricing and costs for PlanetScale?

My experience with pricing, setup cost, and licensing is that pricing is good enough to be used at enterprise level. It is not cheap, but it is appropriately priced. I do not find it costly at all.

What needs improvement with PlanetScale?

Regarding how PlanetScale could be improved, especially considering my experience so far, if it were possible to handle the lagging problem, I suppose it is something that cannot really be changed ...

What is your primary use case for PlanetScale?

My main use case for PlanetScale is that currently, in the company, we are considering changing our current local database to PlanetScale for stability and other benefits, but it has not been deplo...

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Product Reports

Download Amazon Aurora product report

Amazon Aurora

August 2026

Download PlanetScale product report

July 2026

Overview

Amazon Aurora offers a relational database service with high availability and compatibility with MySQL and PostgreSQL. It is designed for efficient scalability and seamless integration within AWS, making it optimal for applications requiring robust performance and reliability.

Amazon Aurora distinguishes itself through its managed maintenance, ensuring high operational efficiency. It provides users with the ability to auto-scale their database resources, allowing businesses to maintain cost efficiency without sacrificing performance. The service includes robust disaster recovery options and supports up to sixteen read replicas, which are critical for mission-critical applications. Users benefit from smooth, cross-region replication and integration capabilities with other AWS services, enhancing data reliability and accessibility.

What are the most important features of Amazon Aurora?

Multiple-read and single-write capabilities: Offers versatile data handling for improved performance.
Seamless SQL standardization: Ensures compatibility with existing systems.
Auto-scaling: Adjusts resources dynamically based on workload demands.
High performance: Provides efficient data processing and fast response times.
Integration with AWS services: Enhances functionality through a secure ecosystem.

What benefits and ROI should users consider?

Cost management: Efficient scaling reduces unnecessary expenditure.
Reliability: Fault tolerance and replication ensure data availability.
Operational efficiency: Managed maintenance lowers administrative overhead.
Scalability: Supports seamless service adaptation to changing business needs.

Amazon Aurora is extensively used across various industries such as finance, e-commerce, and healthcare, supporting internal applications with its relational database prowess. Many organizations leverage its serverless capabilities and cost-effective scalability for developing business intelligence and payment processing solutions. The seamless migration assistance from Oracle databases further underscores its appeal for enterprises looking to optimize database performance and reduce operational costs.

Amazon Web Services (AWS)

PlanetScale offers seamless database management for Postgres and MySQL with features tailored for modern development environments, enabling enhanced project operations through efficient integration and ease of use.

PlanetScale is designed to support modern developer workflows through features like PgBouncer connection pooling and constant availability, making it ideal for serverless applications. Its integration with tools like Cloudflare and DrizzleORM enhances the developer experience, allowing fast setup and effortless database interactions.

What are the most important features of PlanetScale?

PgBouncer connection pooling: Optimizes database connections for serverless environments.
Constant availability: Ensures uninterrupted operations and workflow efficiency.
Developer-friendly: Integrates seamlessly with Cloudflare hyperdrive and DrizzleORM for enhanced project management.
Quick setup: Simplifies setup processes in corporate environments, allowing immediate use.
Local NVMe storage: PlanetScale Metal lets your database run with locally attached NVMe storage, giving you faster reads and writes.
Database branching: Teams can set up independent branches for CICD tests and staging environments, simplifying the development process.

What benefits should users consider when evaluating PlanetScale?

Uninterrupted project operations: Facilitates constant availability for high-performance applications.
Enhanced developer experience: Offers intuitive integrations and project management capabilities.
Ease of integration: Works well with popular tools like Cloudflare hyperdrive and DrizzleORM for efficient workflows.

PlanetScale finds significant use in hosting databases for enterprise companies, other infrastructure providers, chat applications, and hobby projects. Its compatibility with DrizzleORM facilitates seamless MySQL and Postgres database management online. Users leverage its capabilities for OLTP workloads and manage data environments effectively.

Sample Customers

Dow Jones, Arizona State University, Verizon, Capital One, United Nations, Nielsen, Autodesk, Fanduel

Block, Intercom, Convex, MyFitnessPal