Amazon Aurora Serverless vs Oracle Database In-Memory comparison

Amazon Aurora Serverless vs. Oracle Database In-Memory

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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 Serverless

Ranking in Relational Databases Tools

21st

Average Rating

9.0

Reviews Sentiment

8.8

Number of Reviews

Ranking in other categories

No ranking in other categories

Oracle Database In-Memory

Ranking in Relational Databases Tools

9th

Average Rating

8.8

Reviews Sentiment

7.4

Number of Reviews

Ranking in other categories

Embedded Database (2nd)

Mindshare comparison

As of October 2025, in the Relational Databases Tools category, the mindshare of Amazon Aurora Serverless is 0.6%, up from 0.1% compared to the previous year. The mindshare of Oracle Database In-Memory is 1.8%, up from 1.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Relational Databases Tools Market Share Distribution
Product	Market Share (%)
Oracle Database In-Memory	1.8%
Amazon Aurora Serverless	0.6%
Other	97.6%

Relational Databases Tools

Featured Reviews

MohitGupta3

Cloud Infrastructure Architect - AWS at Infopro Digital

Seamless growth management through serverless efficiency and reasonable pricing

The most valuable feature of Amazon Aurora Serverless is its serverless nature, which means I do not have to maintain the underlying infrastructure. Additionally, it is highly scalable, and its pricing model is favorable. Aurora's automatic scaling greatly enhances our operational efficiency by eliminating the need to set specific thresholds and preventing client data access issues due to uneven growth. Its serverless setup allows us to manage costs effectively. Other notable features include direct integration with tools like SFTP Go for media file uploads, automatic backups ensuring data recovery, and its scalability in terms of handling growing database demands.

Read full review

Laksiri Bala

DB Architect / Consultant at Virtusa Global

Faster processing and improved memory operations have enhanced transaction and analytics efficiency

The valuable features of Oracle Database In-Memory include its capability to bypass disk storage for faster memory operations, which is critical for transactions and analytics. It also offers specific memory areas, like in-memory cache, that act as intermediaries between disk and buffer cache. This feature helps organizations handle real-time memory requirements effectively.

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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

"The most valuable feature of Amazon Aurora Serverless is its serverless nature, which means I do not have to maintain the underlying infrastructure."

"Aurora could improve its affordability, even though its price is very completive compared to DBs as SLQ Server."

"Amazon Aurora Serverless is easy to scale, offering a cluster-based shared scaling model with options for Autoscale."

"Oracle Database In-Memory is a suite of features that improves performance for real-time analytics and mixed workloads."

"Security is the most valuable feature."

"The most valuable feature is that Database-In-Memory is more consistent and faster than traditional databases as it requires fewer CPUs to process instructions."

"Normally, every database server uses hard disks. In-Memory has a feature, apart from their database, which is very good. When we start our server, all your data needs loading memory. We can use that. It's a very good feature. I think they added this feature in 2019. We can mount memory in the partition, create partitions in there, and create table space from that spot to share. It's a really good feature. We use it a lot."

"The solution's ROI is excellent."

"The on-premise version is stable. We have different teams and resources for the server side, for admin, and for development. We can easily take care of all the services and applications."

"The solution's most valuable feature is its performance optimization within our hardware environment."

"I find the performance features of Oracle Database In-Memory to be most beneficial."

More Oracle Database In-Memory pros

Cons

"Amazon Aurora could improve its detailed monitoring, especially in CloudWatch, to provide more precise query level insights."

"Amazon Aurora Serverless could benefit from a few more security features, particularly in terms of its accessibility."

"Aurora could improve its affordability, as it is currently considered a bit expensive."

"The solution should move to the new way of writing software code with AI that is intelligent and learns."

"We use some partitions in In-Memory. We have a very large table and a low dose. It is very expensive in data to load all of them into In-Memory. It takes up more memory slots in the server, as well as a lot of RAM. We use last partitions on the table. We always need to create a script and make a schedule that can load a last partition in In-Memory. Oracle doesn't have features to do this automatically. I would like them to allow us to load last partitions, as well as other table partitions, in In-Memory. I think a good feature would do that automatically, letting you see a table, load a large partition, and monitor loading memory. It's quite a good feature."

"They should lower the price. My customers think that it's too expensive."

"The dashboard requires some refreshment or configuration improvements."

"I would like Oracle Database In-Memory to include a data replication feature."

"The solution is quite expensive."

"The pricing could be improved. It would ideal if it was more reasonable."

"The query optimization and backup features should be added."

More Oracle Database In-Memory cons

Pricing and Cost Advice

Information not available

"Database In-Memory is priced a bit higher than its competitors like Microsoft."

"The pricing is pretty good so I rate it an eight out of ten."

"The solution's pricing is high."

"The product is expensive."

"It's quite costly and it comes with a fixed price."

"Oracle Database In-Memory is expensive."

"I rate the pricing a zero out of ten because Database In-Memory is too costly."

"The platform's licensing cost needs improvement."

More Oracle Database In-Memory pricing and cost advice

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Top Industries

By visitors reading reviews

No data available

Financial Services Firm

20%

Computer Software Company

Manufacturing Company

Comms Service Provider

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	6
Midsize Enterprise	4
Large Enterprise	22

Questions from the Community

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

In my experience, Aurora is a bit expensive. The costs depend on the size of the database.

What needs improvement with Amazon Aurora Serverless?

Aurora could improve its affordability, as it is currently considered a bit expensive. There is room to make it more cost-effective for users even though its price is very completive compared to DB...

What is your primary use case for Amazon Aurora Serverless?

I use Aurora mainly for creating and maintaining databases, such as Aurora (MySQL version) databases, within the system. I value it for its network security and quicker recovery options.

What do you like most about Oracle Database In-Memory?

We can integrate it with any data sources as well.

What is your experience regarding pricing and costs for Oracle Database In-Memory?

The pricing for Oracle Database In-Memory is more affordable.

What needs improvement with Oracle Database In-Memory?

I currently don't know how Oracle Database In-Memory has benefited my organization. We recently received this query from our high management to use this In-Memory function, so we are currently in p...

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Compared 13% of the time

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Compared 12% of the time

Progress OpenEdge RDBMS vs Oracle Database In-Memory

Compared 9% of the time

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Compared 8% of the time

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Product Reports

Relational Databases Tools

Download Amazon Aurora Serverless product report

Oracle Database In-Memory

Download Oracle Database In-Memory product report

Overview

Amazon Aurora Serverless is a flexible, on-demand database service that automatically scales based on application needs. It removes the need for database management, allowing businesses to focus on innovation and efficiency.

This database service provides automatic rescaling of compute capacity, which makes it uniquely suited to unpredictable workloads and applications with variable demand. It integrates seamlessly with existing AWS services and supports both MySQL and PostgreSQL, ensuring high availability and durability while reducing costs associated with over-provisioning of resources. Aurora Serverless dynamically adjusts capacity, providing a cost-effective and reliable solution for cloud-native applications and serverless architectures.

What are the key features of Amazon Aurora Serverless?

Automatic Scaling: Instantly adjusts capacity in response to demand.
Managed Infrastructure: Offloads database maintenance and management tasks.
High Availability: Provides multi-AZ support to ensure uptime and reliability.
MySQL and PostgreSQL Compatibility: Supports migrations and existing applications.
Pay-Per-Use: Charges are based on the exact resources utilized.

What benefits can be found in reviews of Amazon Aurora Serverless?

Cost Savings: Helps significantly reduce infrastructure expenses.
Operational Efficiency: Frees up time for the IT team for strategic projects.
Scalability: Easily accommodates fluctuating application demands.
Integration: Works seamlessly with AWS services, enhancing service reach.
Resiliency: Robust data protection features contribute to data security.

Amazon Aurora Serverless has been widely adopted across industries such as ecommerce and online media, where demand can vary greatly and unpredictably. For instance, ecommerce platforms benefit from auto-scaling during peak shopping seasons, ensuring uninterrupted service without incurring unnecessary costs during off-peak periods. Similarly, media companies leverage its auto-scaling capabilities to manage traffic spikes during events or breaking news.

Amazon Web Services (AWS)

Oracle Database In-Memory transparently accelerates analytics by orders of magnitude while simultaneously speeding up mixed-workload OLTP. With Oracle Database In-Memory, users get immediate answers to business questions that previously took hours.

Oracle Database In-Memory delivers leading-edge in-memory performance without the need to restrict functionality, or accept compromises, complexity and risk. Deploying Oracle Database In-Memory with any existing Oracle Database compatible application is as easy as flipping a switch - no application changes are required. Oracle Database In-Memory is fully integrated with the Oracle Database’s renowned scale-up, scale-out, storage tiering, availability, and security technologies making it the most industrialstrength offering on the market.

The ability to easily perform real-time data analysis together with real-time transaction processing on all existing applications enables organizations to transform into Real-Time Enterprises that quickly make data-driven decisions, respond instantly to customer demands, and continuously optimize all key processes.

For more information on Oracle Database In-Memory, visit Oracle.com

Oracle

Sample Customers

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Amazon Aurora Serverless vs. Oracle Database In-Memory